Category Archives: Semiconductors

Veeco Instruments Inc. (NASDAQ: VECO) today announced it has completed installation of its 100th automated Molecular Beam Epitaxy (MBE) system. The installation of Veeco’s GEN10™ MBE System last month at Silanna Semiconductor PTY Ltd. in Australia marks this significant company milestone. The company also operates a Veeco Dual GEN200® MBE System for production of advanced nitride compound semiconductor devices including ultraviolet light emitting diodes (UV-LEDs).

“Veeco has earned a reputation for consistently developing innovative and reliable MBE technology from research scale to production,” said Petar Atanackovic, Ph.D., chief scientist of Silanna Semiconductor PTY Ltd. “The flexibility and deposition capability of the GEN10 system will enable us to develop new materials at the atomic level allowing us to exploit new quantum properties. Veeco’s technology portfolio and leadership in MBE systems provides us with a clear path to easily scale to volume production in the future.”

Silanna is using the GEN10 system for advanced oxide research and development (R&D) for optoelectronic devices. The GEN10 is built upon almost 20 years of cumulative automation knowledge and derived from the company’s proven production MBE systems. Adopted by numerous leading corporations, institutions and universities for all major MBE applications, many customers choose the GEN10 because of its flexibility, which allows them to configure the system based on their application. This gives customers optimal performance with any material set, including those related to III-V group elements, oxides and nitrides.

“Silanna has achieved remarkable results on its previous MBE systems and Veeco is honored to celebrate this momentous accomplishment in our company history in partnership with Dr. Atanackovic and the Silanna team,” said Gerry Blumenstock, vice president and general manager, Veeco MBE Products. “As our customers explore novel materials and new applications, they can rely on Veeco to deliver innovative MBE systems, sources and components for use in complex R&D, as well as high-volume production environments.”

MBE is a highly precise thin-film deposition method for creating crystals by building up orderly layers of molecules on top of a substrate. MBE is used in industrial production processes as well as nanotechnology research in high-growth advanced computing, optics and photonics applications, to name a few. With over 600 systems shipped worldwide, Veeco provides the industry’s broadest portfolio of proven, reliable MBE systems, sources and components to serve a wide variety of markets and applications.

Xcerra today announced that it has entered into a preferred supplier agreement with Elmos, a supplier of semiconductor and sensor devices to the automotive industry. Under the terms of the multiyear agreement Xcerra will be the exclusive supplier of semiconductor testers to Elmos, except in the rare case the test requirements cannot be supported by Xcerra.

Guido Meyer chief operating officer of Elmos, commented, “We have a strong focus on achieving the highest quality and production efficiency. Xcerra has consistently proven their ability to deliver to our requirements. With this agreement we further strengthen the relationship between the two companies and we are committing our test engineering resources to focus on Xcerra testers.”

David Tacelli, president and chief executive officer of Xcerra, commented, “Our passion is to help our customers succeed in the market place. Multiyear preferred supplier agreements like the one we have signed with Elmos serve as recognition that our focus on delivering the highest efficiency of test solutions are having a positive impact on our customers’ success. We look forward to playing a role in supporting Elmos’s growth.”

BY GUIDO GROESENEKEN, imec fellow

To be able to guarantee the reliability of transistors, we have been conducting research for some years now at imec to see what happens when transistors operate properly and when they fail. We’ve been doing this in terms of circuits, devices and materials – and sometimes right down to the level of atoms. The insights that we gather from this work help us to provide the right feedback to the process technol- ogists, who in turn are able to make the transistors more reliable. It is particularly interesting to note that in recent years the knowledge we have gained about these failure mechanisms can also be applied to other areas. These insights no longer only serve to solve problems, but are the basis for innovative and surprising solutions in very diverse domains.
Last year, imec spent a lot of time working on self- learning chips, data security codes, FinFET biosensors and computer systems that can correct themselves. These are innovations that draw on the knowledge present in imec’s reliability group.

Self-learning chips

For example, take the self-learning or neuromorphic chip that gave imec such extensive coverage in the media in 2017. The development of this chip is based, among other things, on our knowledge of “resistive RAM” or RRAM memories, which use the breakdown of an oxide to switch a memory bit on or off (0 or 1). This oxide breakdown – which was previously (and still is) a reliability problem – occurs because a conductive path is created through the oxide, known as a filament. However, the work conducted by imec’s reliability group has demonstrated that not only can you create a filament or make it disappear, but that there are intermediate levels as well, which means that the strength of the filament can be controlled. And that is precisely what happens in our brains: the connec- tions between neurons can become stronger or weaker according to the occurrence they are processing or the learning process they use, etc. This means that these RRAM filaments can be used in chips that work like our brains. It was this insight that provided us with the foundation for the development of imec’s neuromorphic chip, which – as has been demonstrated – can even compose music.

Data security

Since recently we are also working closely with COSIC, an imec research group at KU Leuven that specializes in computer security and cryptography. Also here we can draw on our knowledge of transistor breakdown mechanisms. These can be used to create and read out a fingerprint that is unique for each chip and that cannot be predicted, hence the name ‘physically unclonable functions’ (or PUFs). This unique fingerprint makes it possible to ascertain the identity of chips in data exchanges and thus to prevent hacking by means of rogue chips.

The phenomenon of ‘Random Telegraph Noise’, which has long been known in the area of transistor reliability, could also be used as a security fingerprint. Random telegraph noise is a name for sudden jumps in voltage or current levels as the result of the random trapping of charges in traps within the gate insulation of a transistor. This phenomenon is unpredictable and random, and hence it could also be perfectly usable as PUF. What was once a problem for us – the breakdown of oxides or the existence of random telegraph noise – is now at the base of major new solutions for computer security.

Biosensors

A third example of discipline-overlapping innovation brings us to the world of life sciences. FinFET transistors are essential for the current and future generations of computer chips. As a result of the research carried out in our group, we have now found out a great deal about the way the work, including their failure mechanisms, etc. So much so that we can now explore the possibility to use them as biosensors. What happens is that biomolecules have a certain charge and when that charge comes into the vicinity of a FinFET, the current in the FinFET will be influ- enced. As a result, there is the potential that the presence of a single biomolecule can be detected by such a FinFET.

Self-healing chips

And, finally, we are also working with system architects to produce reliable chips, even with transistors that are no longer reliable. Extremely small transistors with dimen- sions smaller than 5 nanometers can be very variable and the way they behave is unpredictable. For that reason we are working with system architects on solutions such as self- healing chips, based among other things on the existing models of the failure mechanisms that we provide them with. These self-healing chips will contain monitors that detect local errors. A smart controller then interprets this information and decides how to solve the problem, after which actuators are directed by the controller to carry out the task required.

What about scaling?

Numerous methods are currently being investigated to ensure that transistors can still be miniaturized and improved for as long as possible, as propounded in Moore’s Law. To do so, the classic transistor architecture has already been replaced by a FinFET architecture and in the future this will evolve even to nanosheets or nanowires. Materials other than silicon, with greater mobility, are also being looked at, such as III-V materials (germanium for pMOS and InGaAs for nMOS).

In the choice made for these future architecture, it is extremely important to also look right from the start to the failure mechanisms and reliability of the new solutions.

As an example, last year, our reliability team focused extensively on III-V transistors. Although these transistors score well in terms of mobility, their stability is still one of the main challenges remaining before we are able to take the next step and start manufacturing. The insulation layers in III-V transistors contain a lot of traps that cause this insta- bility in transistor characteristics. Understanding this phenomenon is essential if we are to find a solution for it. So, a breakthrough in this area is needed urgently and our results, which were published in a recent IEDM paper, are certainly a step in the right direction. In the invited paper by Jacopo Franco these instabilities are first analyzed in detail. Then, based on this analysis, practical guidelines are given for the development of III-V gate stacks that offer sufficient reliability.

It’s very difficult to look ahead even further into the future, because as the end of Moore’s Law approaches, increasing numbers of different technologies and concepts are already on the radar (quantum computers, 2D materials, neuro- morphic computers, spinwave logic, etc.). However, none of these concepts has yet made a real breakthrough. But in my view 2017 was the year in which the industry began to take a strong interest in quantum computers, with major investments from important players such as Google and Intel. Imec also plans to play a major role in this field, with the launch of a new program on quantum computing, gathering the extensive expertise available. In the past, quantum computing has been considered more as a purely academic field of research – something of value for physi- cists at universities, but not for engineers and companies. So perhaps the breakthrough of industrial quantum computing will be the next milestone in the history of electronics. Or perhaps this milestone will come from a totally unexpected angle – by combining knowledge and people from entirely different disciplines, creating totally new ideas and concepts. Only the future will tell us!

Data is only as good as humans’ ability to analyze and make use of it.

In materials research, the ability to analyze massive amounts of data–often generated at the nanoscale–in order to compare materials’ properties is key to discovery and to achieving industrial use. Jeffrey M. Rickman, a professor of materials science and physics at Lehigh University, likens this process to candy manufacturing:

“If you are looking to create a candy that has, say, the ideal level of sweetness, you have to be able to compare different potential ingredients and their impact on sweetness in order to make the ideal final candy,” says Rickman.

For several decades, nanomaterials–matter that is so small it is measured in nanometers (one nanometer = one-billionth of a meter) and can be manipulated at the atomic scale–have outperformed conventional materials in strength, conductivity and other key attributes. One obstacle to scaling up production is the fact that scientists lack the tools to fully make use of data–often in the terabytes, or trillions of bytes–to help them characterize the materials–a necessary step toward achieving “the ideal final candy.”

What if such data could be easily accessed and manipulated by scientists in order to find real-time answers to research questions?

The promise of materials like DNA-wrapped single-walled carbon nanotubes could be realized. Carbon nanotubes are a tube-shaped material which can measure as small as one-billionth of a meter, or about 10,000 times smaller than a human hair. This material could revolutionize drug delivery and medical sensing with its unique ability to penetrate living cells.

A new paper takes a step toward realizing the promise of such materials. Authored by Rickman, the article describes a new way to map material properties relationships that are highly multidimensional in nature. Rickman employs methods of data analytics in combination with a visualization strategy called parallel coordinates to better represent multidimensional materials data and to extract useful relationships among properties. The article, “Data analytics and parallel-coordinate materials property charts,” has been published in npj Computational Materials, a Nature Research journal.

“In the paper,” says Rickman, “we illustrate the utility of this approach by providing a quantitative way to compare metallic and ceramic properties–though the approach could be applied to any materials you want to compare.”

It is the first paper to come out of Lehigh’s Nano/Human Interface Presidential Engineering Research Initiative, a multidisciplinary research initiative that proposes to develop a human-machine interface to improve the ability of scientists to visualize and interpret the vast amounts of data that are generated by scientific research. It was kickstarted by a $3-million institutional investment announced last year.

The leader of the initiative is Martin P. Harmer, professor of materials science and engineering. In addition to Rickman, other senior faculty members include Anand Jagota, department chair of bioengineering; Daniel P. Lopresti, department chair of computer science and engineering and director of Lehigh’s Data X Initiative; and Catherine M. Arrington, associate professor of psychology.

“Several research universities are making major investments in big data,” says Rickman. “Our initiative brings in a relatively new aspect: the human element.”

According to Arrington, the Nano/Human Interface initiative emphasizes the human because the successful development of new tools for data visualization and manipulation must necessarily include a consideration of the cognitive strengths and limitations of the scientist.

“The behavioral and cognitive science aspects of the Nano/Human Interface initiative are twofold,” says Arrington. “First, a human-factors research model allows for analysis of the current work environment and clear recommendations to the team for the development of new tools for scientific inquiry. Second, a cognitive psychology approach is needed to conduct basic science research on the mental representations and operations that may be uniquely challenged in the investigation of nanomaterials.”

Rickman’s proposed method uses parallel coordinates, which is a method of visualizing data that makes it possible to spot outliers or patterns based on related metric factors. Parallel coordinates charts can help tease out those patterns.

The challenge, says Rickman, lies in interpreting what you see.

“If plotting points in two dimensions using X and Y axes, you might see clusters of points and that would tell you something or provide a clue that the materials might share some attributes,” he explains. “But, what if the clusters are in 100 dimensions?”

According to Rickman, there are tools that can help cut down on numbers of dimensions and eliminate non-relevant dimensions to help one better identify these patterns. In this work, he applies such tools to materials with success.

“The different dimensions or axes describe different aspects of the materials, such as compressibility and melting point,” he says.

The charts described in the paper simplify the description of high-dimensional geometry, enable dimensional reduction and the identification of significant property correlations and underline distinctions among different materials classes.

From the paper: “In this work, we illustrated the utility of combining the methods of data analytics with a parallel coordinates representation to construct and interpret multidimensional materials property charts. This construction, along with associated materials analytics, permits the identification of important property correlations, quantifies the role of property clustering, highlights the efficacy of dimensional reduction strategies, provides a framework for the visualization of materials class envelopes and facilitates materials selection by displaying multidimensional property constraints. Given these capabilities, this approach constitutes a powerful tool for exploring complex property interrelationships that can guide materials selection.”

Returning to the candy manufacturing metaphor, Rickman says: “We are looking for the best methods of putting the candies together to make what we want and this method may be one way of doing that.”

New frontier, new approaches

Creating a roadmap to finding the best methods is the aim of a 2½-day, international workshop called “Workshop on the Convergence of Materials Research and Multi-Sensory Data Science” that is being hosted by Lehigh University in partnership with The Ohio State University.

The workshop–which will take place at Bear Creek Mountain Resort in Macungie, PA from June 11-13, 2018–will bring together scientists from allied disciplines in the basic and social sciences and engineering to address many issues involved in multi-sensory data science as applied to problems in materials research.

“We hope that one outcome of the workshop will be the forging of ongoing partnerships to help develop a roadmap to establishing a common language and framework for continued dialogue to move this effort of promoting multi-sensory data science forward,” says Rickman, who is Principal Investigator on an National Science Foundation (NSF) grant, awarded by the Division of the Materials Research in support of the workshop.

Co-Principal Investigator, Nancy Carlisle, assistant professor in Lehigh’s Department of Psychology, says the conference will bring together complementary areas of expertise to allow for new perspectives and ways forward.

“When humans are processing data, it’s important to recognize limitations in the humans as well as the data,” says Carlisle. “Gathering information from cognitive science can help refine the ways that we present data to humans and help them form better representations of the information contained in the data. Cognitive scientists are trained to understand the limits of human mental processing- it’s what we do! Taking into account these limitations when devising new ways to present data is critical to success.”

Adds Rickman: “We are at a new frontier in materials research, which calls for new approaches and partners to chart the way forward.”

The Semiconductor Industry Association (SIA) today released the following statement from President & CEO John Neuffer in response to the Section 301 action taken by the Trump Administration to address China’s trade practices.

“The U.S. semiconductor industry shares the Trump Administration’s concerns regarding unfair and discriminatory trade practices that put at risk American intellectual property in China.

“We are reviewing the Administration’s Section 301 findings and proposed actions, and encourage an outcome that protects U.S. intellectual property in a manner that avoids a costly trade conflict. We welcome the opportunity to provide input on proposed tariffs, and hope to work with the Administration to avoid tariffs that would harm competitive U.S. industries and their consumers.

“Intellectual property is the lifeblood of the semiconductor industry. Semiconductors are America’s fourth-largest export and are fundamental to the strength of our economy. U.S. semiconductor companies invest nearly one-fifth of their revenue in research and development to stay at the forefront of innovation. They should be able to compete in foreign markets without putting their critical IP at risk.

“At the same time, we welcome China’s participation in the global semiconductor value chain as long as it conforms with its international obligations and is consistent with market-based principles. In the end, strong protections for intellectual property serve the long-term interests of both the United States and China.”

On-site production an option for supply.

BY DR. PAUL STOCKMAN, Linde Electronics, Taipei, Taiwan

Hydrogen usage at leading-edge logic and foundry fabs has steadily increased over the past 20 years. What was supplied in individual cylinders is now frequently delivered by specialized bulk trucks carrying over one ton of hydrogen per vehicle; some fabs require multiple deliveries per day. With EUV (extreme ultraviolet) lithography nearing commercial, high-volume use, the demand for hydrogen will experience another inflection. In this article, we explain the current and future applications driving this demand, the geographical variation in supply, and on-site production solutions for high-volume customers.

Existing process applications

Hydrogen has been adopted as a material in processes throughout the fab. Its unique chemical properties continue to expand its usefulness. These applications typically use flows of 100s to 1,000s of sccm (standard cubic centimeter per minute):

• Epitaxy: Hydrogen is used as a reducing agent during the epitaxial growth of crystalline thin-films. This is often used to make a starting silicon surface for semiconductor manufacturing by reacting newly cut and polished silicon wafers with trichlorosilane (SiHCl3) in an epi-house or end-user fab. The hydrogen reduces the gas-phase chlorine atoms, and the HCl product is removed from the reactor as a gas. Leading- edge channel materials like strained silicon, silicon- germanium, and germanium are also grown using hydrogen-mediated epitaxy.

• Deposition: Hydrogen can also be incorporated directly into thin-films to disrupt crystal lattices to make them less crystalline, more amorphous. This is often used with silicon thin-films, which need to be made more electrically insulating.

• Plasma etch: Hydrogen and hydrogen-containing plasmas are used to directly react with the surface of the wafer in order to clean or remove unwanted thin films, especially for removing unwanted fluorocarbon deposits on silicon oxides.

• Anneal: Silicon wafers are heated to temperatures over 1,000 C, often at elevated pressure, in order to repair their crystal structures. Hydrogen assists by transferring heat uniformly over the surface of the wafer, and also by penetrating into the crystal lattice to react with atomic impurities.

• Passivation: Hydrogen is used to react and remove native oxides on silicon surfaces and to mediate the reconstruction of silicon-silicon bonds in the final layers of the crystal.

• Ion implantation: With more precision than bulk annealing and passivation, protons produced from hydrogen gas can be implanted to specific depths and concentrations in a thin film using ion implanters. Not only can hydrogen atoms be inserted to modify a thin film, but in higher doses and implantation energies, it can be used to cleave slivers of silicon and sapphire wafers.

• Carrier gas: Hydrogen is used as a carrier gas to entrain (entrap) and transport less volatile chemicals— ordinarily liquids at atmospheric pressure and room temperature—into the reaction chamber. The hydrogen is heated and bubbled through the liquid chemicals. Because the mass of hydrogen is very light compared to entrained chemical vapor, specialized mass flow controllers can then be used to sense, measure, and precisely control the amount of chemical vapor dispensed.

• Material stabilization: The addition of hydrogen extends the shelf life of important electronic materials like diborane (B2H6) and digermane (Ge2H6), which otherwise slowly decompose.

• Polysilicon manufacturing: Although not part of the process flow in semiconductor fabs, hydrogen is used in large quantities in the upstream process of manufacturing polysilicon: thousands of Nm3 per hour hydrogen are used, and typically an on-site hydrogen plant is required. Polysilicon is the starting material for making crystallized silicon, from which silicon wafers are sliced.

Application for EUV

Extreme ultraviolet (EUV) lithography is the much- anticipated new application expected to simplify the process patterning complexity for critical dimensions in leading-edge devices. While it has taken a long time for this technology to come close to commercialization, top-tier manufacturers are coalescing their predictions for volume manufacturing adoption in the 2018-2020 window. Whereas other hydrogen-consuming applica- tions have a usage rate of 100s of sccm, EUV will require much larger flows of 100s of slm (standard liters per minute), or roughly 100 to 1,000x more per individual tool.

Deep ultraviolet (DUV) lithography, the current workhorse of the patterning tools, uses an electrical discharge in neon or krypton mixed with halogen gases like fluorine to produce UV light at 193 nm and 248 nm; EUV light production is much more complicated. Tin metal is heated above its melting point of 232 C, and small droplets of tin (~25 μm diameter) are rapidly (50,000 droplets per second) produced. These droplets are first vaporized and then excited with high-power CO2 lasers. The excited tin atoms emit EUV light at 13.5 nm, which is more than 14 times shorter than the DUV tools.

The light is emitted in all directions and is collected and collimated (aligned) by an array of mirrors. The light is then passed to the primary lithography tool for focusing and image transfer before illuminating the photoresist on the wafer. All materials heavily absorb EUV light. Absorption losses are minimized by using multi-layer reflective optics instead of the transmissive lenses used in DUV lithography, and the entire light source and patterning systems are housed in vacuum chambers. These highly complex tools are expected to cost end users around $100 million USD each, and when fully adopted, a leading-edge fab could require 20 or more of these tools.

Scattered tin debris from the vaporization of droplets is a major potential source of contamination of both the collector and focusing optics. Unmitigated, the lifetimes of these expensive components would be unacceptable. Hydrogen gas is used to shroud the tin excitation region, and tin vapor and aberrant droplets are reacted to form stannane (SnH4), which is then removed from that section of the housing by means of the vacuum line. Higher flows of hydrogen can be used in periodic plasma-based cleaning to remove tin that deposits on the collector optics.

Demand and supply

Even before the adoption of EUV technology, leading- edge logic and foundry processes have begun consuming several normal cubic meters (1,000 liters) of hydrogen per wafer processed. This usage trend is expected to continue increasing in the 10 nm and 7 nm nodes commercialized before wide-spread EUV use. Conse- quently, major fabs now use hundreds of Nm3 per hour. EUV, when fully extended to all of the critical layers, will roughly double the amount of hydrogen used in these fabs. In a related application, the largest LED fabs also use hundreds of Nm3 of hydrogen per hour, primarily as a carrier gas and diluent for the gallium, arsine, and phosphorus precursors used to make the light-emitting devices.

Supply of hydrogen to electronics customers has been historically driven by regional source types, engineering and transportation codes, and by end user preferences and process qualification. However, steep demand curves are causing users to consider new supply schemes for access to larger volumes, greater supply chain security, and lessening of local fab logistics.

Over 60 million metric tons of hydrogen are produced globally, almost exclusively from hydrocarbon feedstocks: natural gas, oil, and coal. Most of this is used as a chemical intermediate to make ammonia, methanol, and trans- portation fuels. Electronics uses much less than 1% of hydrogen, yet relies on industrial technologies and sources as supply origins.

Screen Shot 2018-03-23 at 1.17.54 PM

Hydrogen is supplied in the following modes (FIGURES 1 and 2):

• Cylinders: In smaller volumes, hydrogen is supplied in standard-sized gas cylinders, which hold about 7 m3 of gas pressurized at approximately 175 bar (250 cu ft at 2,500 psi). The largest fabs now consume this amount in less than one minute. Individual cylinders can be manifolded together to create larger packs of cylinders, which are typically mounted into metal pallets for easier handling. These packs can even be arrayed into full truck trailers of connected cylinders. Despite the increased volume, there is a limitation on the level of mass flow that can be safely achieved from this configuration.

• Compressed gaseous hydrogen (CGH) trailers: To improve on both mass distribution and packaging/handling costs, specialized trailers with much larger, pressurizable vessels are used. These CGH (compressed gaseous hydrogen) trailers can hold 10,000 Nm3 at pressures similar to smaller packages, yet are the distribution equiv- alent to over 1,400 individual cylinders. Just as importantly, fewer, larger vessels are faster to fill, and easier to maintain quality to the very high standards required by the semiconductor industry. Fewer components and human interactions also reduce safety risks.

• Liquefied hydrogen transport: In North America and much of Europe, liquefied hydrogen transport is allowed. This further increases the amount of hydrogen per truck to 40,000 Nm3 gas, or the equivalent of around 6,000 cylinders. In addition to increasing the volume, liquefication of hydrogen is also an added purification step. By cooling the material down to the boiling point of 21 K (-252 C), most impurities are solidified and can be reduced in concentration by absorption.

Screen Shot 2018-03-23 at 1.18.04 PM

These benefits come with a trade-off, however. Liquefying hydrogen to the very low required temperatures consumes a lot of energy, and mandates additional safety protocols. Moreover, there are fewer liquid hydrogen production sources versus gaseous facilities, and transportation distances and supply logistics can be substantially increased. It is important to note that liquid hydrogen transport is not allowed in the primary semiconductor producing countries of Asia (China[1], Japan, Singapore, South Korea, and Taiwan), and therefore not a consideration for users in that region.

On-site hydrogen production

A solution that is becoming appropriate for some fabs is on-site hydrogen production (FIGURES 3 and 4). All major fabs already have either direct on-site production of gaseous nitrogen, or are supplied via pipeline by local plants. On-site hydrogen production has similar consid- erations of planning, footprint, redundancy, and back-up.

Screen Shot 2018-03-23 at 1.18.11 PM

• Planning and footprint: On-site gas production should be planned at the outset of the entire fab concept. Like on-site nitrogen production, construction of the hydrogen facility usually begins at the same time as groundbreaking for the fab. The footprint of the plant and auxiliary equipment needs to be accounted for, either on the user’s property, or on an adjacent parcel reserved for the gas supplier. Pipeline delivery needs to be routed. And importantly for hydrogen, permits must be applied for which differ according to location.

• Redundancy and back-up: Continuous supply is essential for all semiconductor material supply chains. On-site production must ensure continuous supply for planned and unplanned equipment downtime, or in the case that fab demand grows past the on-site generating capacity. This can be accomplished by choosing from among three alternatives. If liquefication of on-site generated hydrogen is part of the production and purification scheme, excess hydrogen can be liquefied and stored in cryogenic tanks. Hydrogen generators appropriate to produce semiconductor-grade material are often modular, meaning that several will be used in parallel to make the full requirement of a fab. By installing an additional or redundant module, excess capacity is available in the event of planned maintenance or other event. Finally, off-site hydrogen is usually qualified as a supplement or temporary replacement. Often, this is the original source for the process of record for the manufacturer.

Screen Shot 2018-03-23 at 1.18.19 PM

On-site hydrogen technologies suitable for semiconductor processes are either electrolysis of water, or so-called “reforming” and “shifting” of hydrocarbon feedstocks.

• Electrolysis: Electrolysis uses direct current electricity to split a water molecule into elemental hydrogen and oxygen. Actually, the reaction takes place in two physically distinct electrical poles of the equipment – the anode and the cathode – as two separate half-reactions. The net reaction is

2H2O(l) → 2H2 (g) +O2 (g)

Electrolysis is relatively expensive at volume because of the energy needed to break water molecule bonds even though achieving purity in the feedstock water is relatively simple.

• Steam Reforming and Shifting: More economical are the industrial steam reforming and shifting processes, using hydrocarbon feedstocks like natural gas, LPG (liquefied petroleum gas – mostly propane and butane), and methanol. In fact, this is the process which produces most of the bulk hydrogen already used by existing semiconductor fabs, and is responsible for 95% of global hydrogen production. Natural gas (CH4) and steam are heated over a catalyst to form syngas (a mixture of hydrogen and carbon monoxide).

CH4 +H2O→CO+3H2

The syngas is then separated to give hydrogen. The carbon monoxide can then be further reacted (shifted) with the steam to yield additional hydrogen.

CO+H2O→CO2 +H2

Taken together, these process plants are known as steam methane reformers, or SMR plants. Choices for the exact plant technology depend upon the local feedstocks available and the customer quality profile requirements.

Regardless of whether the hydrogen is supplied in gaseous or liquefied containers or made on-site, semiconductor hydrogen supply schemes incorporate on-site, and often additional point-of-use, purification using various technologies: adsorption, gettering, and application of the unique property of hydrogen to diffuse through palladium metal membranes, which are impervious to most other molecules. In addition, hydrogen purity is monitored at several points in the distribution by multiple types of detectors.

Safety

As with all chemical supplies, safety is paramount. With hydrogen, the main safety risk is associated with its wide range of flammability and explosivity. Throughout production and packaging, multiple types of redundant protocols are used to ensure that no oxidizers are contacted or incorporated into the hydrogen and plant designs minimize the risk for leaks. Specialized clothing resistant to fire and static is worn in some hydrogen producing and using environments. Materials of construction and component qualification are also important to guard against a phenomenon known as hydrogen embrit- tlement, where at elevated temperatures and/or pressures, hydrogen can permeate and weaken certain metals and alloys. Finally, liquefied hydrogen introduces the additional risk associated with cryogenic materials and the need to use insulating vessels and personal protection.

Conclusion

Semiconductor manufacturing has long used hydrogen in an essential and expanding portfolio of applications. Already, hydrogen supply is considered a bulk material scheme, with source, transport, and logistic considerations. The adoption of EUV at leading-edge fabs in the next few years will accelerate the pace of hydrogen consumption, and drive the consideration of new supply schemes. End users should evaluate hydrogen supply options for future fabs as part of their advanced planning to ensure that their quality, supply and process integrity requirements will be met.

References

1. China is in the process of approving liquefied hydrogen transport at the time of this publication. The details are not yet defined.

North America-based manufacturers of semiconductor equipment posted $2.41 billion in billings worldwide in February 2018 (three-month average basis), according to the February Equipment Market Data Subscription (EMDS) Billings Report published today by SEMI.  The billings figure is 1.7 percent higher than the final January 2018 level of $2.37 billion, and is 22.2 percent higher than the February 2017 billings level of $1.97 billion.

“February billings remain at a level indicating another positive year for semiconductor equipment spending,” said Ajit Manocha, president and CEO of SEMI. “We expect 2018 to mark the fourth consecutive year of spending growth, which last occurred in the 1990s.”

The SEMI Billings report uses three-month moving averages of worldwide billings for North American-based semiconductor equipment manufacturers. Billings figures are in millions of U.S. dollars.

Billings
(3-mo. avg)
Year-Over-Year
September 2017
$2,054.8
37.6%
October 2017
$2,019.3
23.9%
November 2017
$2,052.3
27.2%
December 2017
$2,398.4
28.3%
January 2018 (final)
$2,370.1
27.5%
February 2018 (prelim)
$2,411.4
22.2%

Source: SEMI (www.semi.org), March 2018

Research included in the March Update to the 2018 edition of IC Insights’ McClean Report shows that fabless IC suppliers accounted for 27% of the world’s IC sales in 2017—an increase from 18% ten years earlier in 2007.  As the name implies, fabless IC companies do not operate an IC fabrication facility of their own.

Figure 1 shows the 2017 fabless company share of IC sales by company headquarters location.  At 53%, U.S. companies accounted for the greatest share of fabless IC sales last year, although this share was down from 69% in 2010 (due in part to the acquisition of U.S.-based Broadcom by Singapore-based Avago). Broadcom Limited currently describes itself as a “co-headquartered” company with its headquarters in San Jose, California and Singapore, but it is in the process of establishing its headquarters entirely in the U.S. Once this takes place, the U.S. share of the fabless companies IC sales will again be about 69%.

Figure 1

Figure 1

Taiwan captured 16% share of total fabless company IC sales in 2017, about the same percentage that it held in 2010.  MediaTek, Novatek, and Realtek each had more than $1.0 billion in IC sales last year and each was ranked among the top-20 largest fabless IC companies.

China is playing a bigger role in the fabless IC market.  Since 2010, the largest fabless IC marketshare increase has come from the Chinese suppliers, which captured 5% share in 2010 but represented 11% of total fabless IC sales in 2017.  Figure 2 shows that 10 Chinese fabless companies were included in the top-50 fabless IC supplier list in 2017 compared to only one company in 2009. Unigroup was the largest Chinese fabless IC supplier (and ninth-largest global fabless supplier) in 2017 with sales of $2.1 billion. It is worth noting that when excluding the internal transfers of HiSilicon (over 90% of its sales go to its parent company Huawei), ZTE, and Datang, the Chinese share of the fabless market drops to about 6%.

Figure 2

Figure 2

European companies held only 2% of the fabless IC company marketshare in 2017 as compared to 4% in 2010. The loss of share was due to the acquisition of U.K.-based CSR, the second-largest European fabless IC supplier, by U.S.-based Qualcomm in 1Q15 and the purchase of Germany-based Lantiq, the third-largest European fabless IC supplier, by Intel in 2Q15.  These acquisitions left U.K.-based Dialog ($1.4 billion in sales in 2017) and Norway-based Nordic ($236 million in sales in 2017) as the only two European-based fabless IC suppliers to make the list of top-50 fabless IC suppliers last year.

The fabless IC business model is not so prominent in Japan or in South Korea.  Megachips, which saw its 2017 sales jump by 40% to $640 million, was the largest Japan-based fabless IC supplier.  The lone South Korean company among the top-50 largest fabless suppliers was Silicon Works, which had a 15% increase in sales last year to $605 million.

This work explores the effect of underlying metallic alloys and the influence of Cu loss under via bottom after dry etching and wet cleaning processes. To Improve the Cu loss under via bottom, effective approaches are proposed. The modified actions for via bottom improve not only wafer yield but also reliability of the device.

By CHENG-HAN LEE and REN-KAE SHIUE, Department of Materials Science and Engineering, National Taiwan University, Taiwan, ROC

With metal line dimensional shrinkage in advanced packaging, Cu voids in metal lines cause the failure of via-induced metal-island corrosion. It impacts not only yield loss but also device reliability, specifically electron migration (EM) and stress migration (SM). One of the Cu voids is located under via bottom which is more unpredictable than others. The Cu void under via bottom is caused by integrated processes such as via etch and Cu electro-chemical plating (ECP). It is not similar to the Cu void caused by barrier Cu-seed and ECP Cu. The mechanism of Cu voids under via bottom formation from dry etching and wet cleaning are related to Cu dual-damascene interconnection. Both plasma damage and chemical reaction are proposed to explain its failure mechanism. In the integrated process of Cu interconnects, we can design not only the safety dimension of Cu line via depth but also process criteria with less damage and oxidation in dry etching and wet clean based on Cu loss amount (Cu recess) in TEM inspection. The modified actions for via bottom improve not only wafer yield but also reliability of device.

Introduction

For deep sub-micrometer CMOS integrated circuit, copper (Cu) metallization has been applied in semi- conductor metallization processes of ULSI beyond 0.13 μm technology because of its lower resistivity and better reliability, especially better electron migration resistance than that of aluminum (Al) [1–4]. Under 10 nm technology, front end-of-line (FEOL) device process had already transferred from planar to fin-fet MOS, but the Cu formation process only have slight change in backend-of-line (BEOL) metallization. There are two kinds of schemes, single- and dual- damascene processes. In fact, the main body of Cu interconnection in dual- damascene process includes metal trench and via etching, post etching, wet clean, deposition of barrier films and Cu-seed layer, Cu ECP and Cu chemical mechanical polishing (CMP). They are all similar technologies.

Even though many well-known modifications were implemented in both mature and advanced processes, a few lethal defects which significantly damage wafer yield and device reliability, such as Cu voids and scratches, always exist after Cu-CMP process due to the Cu metal corrosion. Most previous studies in Cu voids, such as Lu et al. [5], Song et al. [6], Wrschka et al. [7] and T.C. Wang et al. [8], were focused on Cu voids on metal line due to wafer yield concern. It meant that Cu voids on metal line could be detected by on-line electron-beam inspection as demonstrated by Guldi et al. [9].

Although Reid et al. [10] have described that the formation of Cu voids could be resulted from step coverage of Cu-seed, waveform function and additives (Accelerator, Suppressor and Leveler), chemical formulation of ECP. However, the mechanism of Cu voids during the via-formation process is still unclear. Coverage or quality of seed layers being poor, thin and/or discontinuous will induce via bottom void which results in deteriorating the plating process. A systematic study of Cu void effects has not been reported. For the mature technology to reduce via resistance, a Cu surface cleaning (pre-cleaning) process prior to deposit the diffusion barrier metal to remove the CuOx on via bottom in order to improve yield was mentioned by Wang et al. [8]. However, it caused a significant Cu loss under via bottom as well as deteriorating reliability window of the process.

With the metal line shrinkage in advanced CMOS process, Cu void under via bottom becomes much crucial than before. Actually, it perhaps is the most important defect in device reliability concern. Unlike Cu voids or pits on metal line, such defects cannot be easily detected by on-line defect screen methodology, neither electrical test nor wafer yield testing. The reason is that Cu interconnection is still valid at that time. The most decisive step of Cu void detection under via bottom is the reliability test. Alers et al. [11] showed that Cu voids affected electron migration resistance. Wang et al. [12] had pointed out that Cu voids under via bottom were the major factor resulting in failure during stress and/or electron migration tests. In our exper- iment, Cu loss under via bottom was strongly related to high temperature storage (HTS) and high temperature operation life (HTOL) reliability tests. Thermal and/or electronic stresses may resulted from many processes, including Si manufacturing, bumping, wafer yield test and even early failure rate (EFR) stage in reliability test. It should be further clarified.

Experimental procedures

A. Cu scheme and process

A via structure consisted of metal chains and via holes as displayed in FIGURE 1. Dual Cu damascene with “via first” process was applied to prepare the test sample. The Cu interconnection was made by BEOL Cu dual-damascene process which included an etching stop layer, dielectric deposition, metal line/via lithography, metal line/via dry etching, post etching wet clean containing deionized water (DIW) with discharging gas, deposition of barrier films and Cu-seed layer, Cu ECP and Cu CMP.

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In advanced technology, EM resistance decreasing with metal line shrinkage of Cu interconnects was a major concern, specifically for dimensions of metal line and via bottom less than 30 nm. As the interconnect dimension shrunk, the EM resistance of Cu interconnects was deteriorated and decreasing the service life of device. In order to improve EM resistance of Cu damascene, doping the Cu interconnects with appropriate elements was one of engineering approaches. Manganese (Mn) is one of the most popular element applied in Cu dopping. Mn could diffuse through the Cu interconnects and segregate along the interface between Cu and low-k dielectric layer. It was served as the barrier layer, adhesion promoter and oxidation retardant because the diffusivity of Mn in Cu was much faster than self-diffusivity of Cu, approximately one order of magnitude higher. It indicated that Mn atoms initially alloyed in Cu were migrated into surface and interface, and formed an oxide layer leaving the pure Cu behind after annealing step. In addition, Mn could also repair discontinuous barrier layer (Ta/TaN) by forming a local manganese silicate diffusion barrier layer. It was so called self-forming Cu-Mn diffusion barriers [13,14].

In this research, both Cu/1% Mn and Cu/1% Al served as underlying alloys were evaluated by Cu recess. The introduction of Cu/1% Al in the test was for the purpose of comparison. The main body of Cu interconnection of dual-damascene process included via etching, post etching wet clean, deposition of barrier films and Cu-seed layer and ECP. They were separated by different key process variables, such as dry etching power split, post etching as well as wet clean discharging gas flow rate split. The effect of these process variables on Cu loss under via bottom was evaluated in the experiment.

B. Methodology

FIGURE 2 illustrated a schematic diagram of Cu recess in the device. The Cu recess of via bottom was observed using the step-by-step TEM followed by dry etch and wet clean processes. The Cu line was receded back into the bottom of Cu metal after the process. The Cu recess data were helpful to define which stage played the crucial role in Cu loss of via bottom. Electrical and wafer yield tests were applied in order to locate any abnormality after all processes were completed.

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To unveil the effects of thermal/electronic stresses on Cu voids under via bottom, HTS (175oC) and HTOL (175oC with double device operation voltages) were performed to evaluate wafer yield swap after HTS and HTOL. Wafer yield swap was able to exam the yield before/after HTS and HTOL. The good die was failed if the Cu loss under via bottom occurred. After wafer yield swap dice was confirmed, failure analysis was performed by focus ion beam (FIB), scanning electron microscope (SEM) and transmission electron microscope (TEM). In addition, the chemical analysis was examined using energy dispersive spectroscope (EDS).

Results and discussion

A special design of metal line via structure with high aspect ratio of approximately 5 was performed in order to deteriorate Cu loss under via bottom. We inspected Cu recess of two different underlying metals, Cu/1% Mn and Cu/1% Al. FIGURE 3 displayed Cu recesses of Cu/1% Al and Cu/1% Mn underlying metals, respectively. Under the same process condition, the Cu recess of Cu/1% Mn was only half of Cu/1% Al, so Cu/1% Mn was more protective than Cu/1% Al. There was a strong correlation between EM cumulative failure rate and the type of underlying metals. Cu/1% Al showed much lower time to failure (TTF) and deteriorated EM performance as compared with that of Cu/1% Mn. It clearly demonstrated that Cu/1% Mn was more protective than Cu/1% Al, and failure rate of Cu/1% Mn was only 1/30 of Cu/1%. The performance of Cu/1% Al was significantly inferior to that of Cu/1% Mn. Therefore, Cu/1% Al was selected in following tests in order to enhance the differences of other key process variables.

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In the standard (STD) condition, Cu recess was inspected by step-by-step TEM of dry etching and post etching wet clean with discharging gas process, and there were approximately 5nm and 7nm (12nm–5nm=7nm)in depth of Cu loss as shown in FIGURE 4. The following barrier films and Cu-seed process only slightly consumed underlying Cu. The Cu recess only slightly increased 0.3 nm in barrier film deposition process. The pre-cleaning process was necessary before barrier film deposition in order to remove CuO on Cu surface for improved adhesion. Based on observations of Cu recess results in step-by-step TEM, post etching wet clean process also played an important role in Cu recess of via bottom.

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Dry etching by plasma not only eroded about 5nm in depth of Cu under the via bottom but also oxidized the underlying Cu which was supposed to be removed in subsequent wet cleaning process. Post etching wet clean included applying chemical solvent to clean by-product of dry etching and DI water clean to remove the chemical solvent. The DI water was with aid of discharging gas, such as CO2, in order to neutralize the accumulated charge generated by the plasma in previous dry etching. However, the discharging gas acidified the DI water and resulted in Cu loss in post etching wet cleaning process.

FIGURE 5 shows Cu recesses with different dry etching power splits. The change of plasma power split changed the degree of Cu recess. At the condition of 200 W less than STD, i.e., STD-200W, the Cu recess was less than 3nm. Although the structure looks good in shape, poor performance was observed from electrical test and wafer yield after the process was completed. Via open resulted in upper Cu disconnected from underlying Cu as demonstrated by TEM observation (Fig. 5). It was deduced that dry etching process did not etch entire via hole, especially for the dielectric layer. Although post wet cleaning slightly extended the open area under via bottom, barrier films were not well deposited on the via hole. Therefore, poor coating was obtained from the subsequent ECP process. The via resistance marked up significantly as the dry etching power decreased to 200 W less than STD, i.e., STD-200W.

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FIGURE 6 shows wafer yields after open/short tests with different dry etching power splits. In the open/short tests, the failure rate was decreased with decreasing the dry etching power from STD+100W to STD-100W due to less damage to the Cu substrate for lower dry etching power. The Cu recess was decreased from 17.9 nm (STD+100W) to 8.7 nm (STD-100W) as demonstrated in FIGURE 5. However, dramatically increased failure rate was observed when the dry etching power was decreased to 200 W less than STD (STD-200 W). Because the lowest dry etching power, STD-200W, was insufficient to enlarge the via hole, and resulted in increasing the via resistance. Therefore, the failure rate of STD-200W was as high as 10% as displayed in Fig. 6. There was an optimal dry etching power of STD-100W in order to maximize the wafer yield in the experiment.

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FIGURE 7 showed the variation of Cu recess with different discharging gas flow splits in the post etching wet cleaning process. The discharging gas flow was strongly related to the Cu recess, and it demonstrated that the chemical property of wet clean also played a crucial role in Cu recess. FIGURE 8 showed that the wafer yield failure rate was decreased with decreasing the post wet clean discharging flow from STD+200 sccm to STD-400 sccm. The major function of discharging gas, CO2, neutralized the accumulated charge generated by the plasma in previous dry etching. It was necessary in post etching wet cleaning process. However,it should be kept below STD-300sccm in order to improve wafer yield in the experiment.

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The reliability test result of HTOL with thermal and electronic stresses over 168 hours showed several good chips transferred to bad ones with open short bin, which was called bin swap. FIB, SEM, TEM and EDS were used in failure analyses. FIGURE 9 showed the comparison of Cu recesses before and after HTOL tests for 168 hours. It was obvious that a deeper Cu recess was observed after stress applied. Before the stress applied, the via interconnect linked with underlying metal line. This is the key reason why it was difficult to detect this type of failure in the electrical test. In Fig. 9, the Cu recess before stress applied was 23.3 nm and it extended into 42.4 nm after HTOL test for 168 hours. The Cu recess extended into twice or even triple after thermal and electronic stresses applied. Therefore, quality of the via bottom joint was greatly deteriorated if there were Cu voids under the via bottom. With increasing applied thermal and electrical stresses to via bottom, the crack propagated to entire via bottom. The via bottom finally was disconnected from underlying metal line. It was so-called via open in semiconductor industry.

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FIGURE 10 showed TEM bright field and EDS mapping of Ta at the failure location after HTOL for 168 hours. Taking a close look at the via bottom next to the interface of underlying metal line, the non-uniform barrier film was widely observed as shown in Fig. 10(a). It was the original failure location. In Fig. 10(a), TEM inspection of the failure location after HTOL test for 168 hours showed significant Cu loss, more than 30 nm, under via bottom. It was much greater than the Cu recess before thermal and electrical stress applied (12 nm). Based on the EDS mapping of Ta (Fig. 10(b)), the barrier film, TaN, was formed adjacent to the Cu loss of via bottom. It was important to note that the TaN was almost disappeared from corner of the via bottom. The disconnection of barrier film from the corner resulted in deteriorated Cu interface, and the Cu began to degen- erate and shrink under applied thermal and electronic stresses. It finally resulted in separation of the upper and underlying Cu. The via bottom was completely opened and caused the failure of device.

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Summary

With the metal line dimensional shrinkage in advanced packaging, Cu metallization has increased the concerns on long-term reliability of devices caused by Cu loss under via bottom. This work explores the effect of underlying metallic alloys and the influence of Cu loss under via bottom after dry etching and wet clean. Important conclusions are listed below:

1. Cu/1% Mn is more protective than original Cu/1% Al. The application of Cu/1% Mn improves both EM and SM resistances of via bottom.

2. Both plasma power of dry etching and the discharging gas flow of wet clean play important roles in the Cu loss under via bottom. Cu loss was initiated first after dry etching due to plasma damage. The plasma not only etched the underlying Cu of via bottom, but also oxidized the underlying Cu surface. Subsequent post etching wet clean with acidic water generated by discharging gas removes CuO at interface, and causes more Cu loss in subsequent wet cleaning process. They are the major mechanism of Cu loss under via bottom. Pre-cleaning of barrier films to remove superficial CuO on Cu for better adhesion is only a minor factor in Cu loss under via bottom.

3. To Improve the Cu loss under via bottom, effective approaches include applying protective metal line, such as Cu/ 1% Mn, minimizing interfacial damage by decreasing the power of dry etching, and the discharge gas flow of post etching.

Acknowledgement

Authors greatly acknowledge the support of Taiwan Semiconductor Manufacturing Company (TSMC) for this study.

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Synopsys, Inc. (Nasdaq: SNPS) today announced it has acquired Silicon and Beyond Private Limited, a provider of high-speed SerDes technology used in data intensive applications such as machine learning, cloud computing, and networking. This acquisition demonstrates Synopsys’ continued focus on next-generation SerDes solutions, addressing the need for greater amounts of reliable data transfer between chips, backplane, and extended range optical interconnects. The acquisition also adds a team of R&D engineers with high-speed SerDes expertise to help designers meet their evolving design requirements.

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