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Scientists have developed the world’s best-performing pure spin current source[1] made of bismuth-antimony (BiSb) alloys, which they report as the best candidate for the first industrial application of topological insulators[2]. The achievement represents a big step forward in the development of spin-orbit torque magnetoresistive random-access memory (SOT-MRAM)[3] devices with the potential to replace existing memory technologies.

A research team led by Pham Nam Hai at the Department of Electrical and Electronic Engineering, Tokyo Institute of Technology (Tokyo Tech), has developed thin films of BiSb for a topological insulator that simultaneously achieves a colossal spin Hall effect[4] and high electrical conductivity.

Table 1: θSH: spin Hall angle, σ: conductivity, σSH: spin Hall conductivity.
The figures in the bottom row are those achieved in the present study. Remarkably, the spin Hall conductivity, shown in the right-hand column, is two orders of magnitude greater than the previous record. Credit: Pham Nam Hai

Their study, published in Nature Materials, could accelerate the development of high-density, ultra-low power, and ultra-fast non-volatile memories for Internet of Things (IoT) and other applications now becoming increasingly in demand for industrial and home use.

The BiSb thin films achieve a colossal spin Hall angle of approximately 52, conductivity of 2.5 x 105 and spin Hall conductivity of 1.3×107 at room temperature. (See Table 1 for a performance summary, including all units.) Notably, the spin Hall conductivity is two orders of magnitude greater than that of bismuth selenide (Bi2Se3), reported in Nature in 2014.

Making SOT-MRAM a viable choice

Until now, the search for suitable spin Hall materials for next-generation SOT-MRAM devices has been faced with a dilemma: First, heavy metals such as platinum, tantalum and tungsten have high electrical conductivity but a small spin Hall effect. Second, topological insulators investigated to date have a large spin Hall effect but low electrical conductivity.

The BiSb thin films satisfy both requirements at room temperature. This raises the real possibility that BiSb-based SOT-MRAM could outperform the existing spin-transfer torque (STT) MRAM technology.

“As SOT-MRAM can be switched one order of magnitude faster than STT-MRAM, the switching energy can be reduced by at least two orders of magnitude,” says Pham. “Also, the writing speed could be increased 20 times and the bit density increased by a factor of ten.”

The viability of such energy-efficient SOT-MRAMs has recently been demonstrated in experiments, albeit using heavy metals, conducted by IMEC, the international R&D and innovation hub headquartered in Leuven, Belgium.

If scaled up successfully, BiSb-based SOT-MRAM could drastically improve upon its heavy metal-based counterparts and even become competitive with dynamic random access memory (DRAM), the dominant technology of today.

An attractive, overlooked material

BiSb has tended to be overlooked by the research community due to its small band gap[5] and complex surface states. However, Pham says: “From an electrical engineering perspective, BiSb is very attractive due to its high carrier mobility, which makes it easier to drive a current within the material.”

“We knew that BiSb has many topological surface states, meaning we could expect a much stronger spin Hall effect. That’s why we started studying this material about two years ago.”

The thin films were grown using a high-precision method called molecular beam epitaxy (MBE). The researchers discovered a particular surface orientation named BiSb(012), which is thought to be a key factor behind the large spin Hall effect. Pham points out that the number of Dirac cones[6]0 on the BiSb(012) surface is another important factor, which his team is now investigating.

Challenges ahead

Pham is currently collaborating with industry to test and scale up BiSb-based SOT-MRAM.

“The first step is to demonstrate manufacturability,” he says. “We aim to show it’s still possible to achieve a strong spin Hall effect, even when BiSb thin films are fabricated using industry-friendly technologies such as the sputtering method.”

“It’s been over ten years since the emergence of topological insulators, but it was not clear whether those materials could be used in realistic devices at room temperature. Our research brings topological insulators to a new level, where they hold great promise for ultra-low power SOT-MRAM.”

Scientists from the University of Konstanz and Paderborn University have succeeded in producing and demonstrating what is known as Wannier-Stark localization for the first time. In doing so, the physicists managed to overcome obstacles that had so far been considered insurmountable in the field of optoelectronics and photonics. Wannier-Stark localization causes extreme imbalance within the electric system of crystalline solids. “This fundamental effect was predicted more than 80 years ago. But it has remained unclear ever since whether this state can be realized in a bulk crystal, that is, on the level of chemical bonds between atoms,” says Professor Alfred Leitenstorfer, Professor of Experimental Physics at the University of Konstanz. Analogues of the effect have so far been demonstrated only in artificial systems like semiconductor superlattices or ultracold atomic gases. In a bulk solid, Wannier-Stark localization can only be maintained for an extremely short period of time, shorter than a single oscillation of infrared light. Using the ultrafast laser systems at the University of Konstanz, Wannier-Stark localization has now been demonstrated for the first time. The experiment was conducted in a high-purity gallium arsenide crystal grown at ETH Zurich using epitaxial growth. The research results were published in the scientific journal Nature Communications on 23 July 2018.

What is Wannier-Stark localization?

If we tried to picture the atoms of a crystal, it would have to be as a three-dimensional grid composed of small beads that repel each other and are only kept together by rubber bands. The system remains stable as long as the rubber band is as strong as the repulsion is. If this is the case, the beads neither move closer to each other, nor do they move away from each other – the distance between them remains about the same. Wannier-Stark localization occurs when the rubber bands are removed abruptly. It is the electronic state that happens at the precise moment in time when the rubber bands have already gone but the beads still remain in place: The chemical bonds that hold the crystal together have been suspended.

If this state is maintained for too long, the beads will break apart and the crystal dissolves. To analyze Wannier-Stark localization, the physicists had to remove the stabilizing structures, capture the system within a fraction of a light oscillation using light pulses, and finally to stabilize it again to prevent the atoms from breaking apart. The experiment was made possible through the highly intense electric field of an ultrashort infrared light pulse, which is present in the crystal for a few femtoseconds only. “This is what we specialize in: studying phenomena that only exist on very short time scales,” explains Alfred Leitenstorfer.

“In perfect insulators and semiconductors, electronic states expand throughout the entire crystal. According to an 80-year-old prediction, this changes as soon as electrical voltage is applied,” says Professor Torsten Meier from Paderborn University. “If the electric field inside the crystal is strong enough, the electronic states can be localized to a few atoms. This state is called the Wannier-Stark ladder”, explains the physicist, who is also Vice-President for International Relations at Paderborn University.

New electronic characteristics

“A system that deviates so extremely from its equilibrium has completely new characteristics,” says Alfred Leitenstorfer about why this state is so interesting from a scientific perspective. The short-lived Wannier-Stark localization correlates with drastic changes to the electronic structure of the crystal and results, for example, in extremely high optical nonlinearity. The scientists also assume that this state is chemically particularly reactive.

The first-ever experimental realization of Wannier-Stark localization in a gallium arsenide crystal was made possible through highly intense Terahertz radiation with field intensities of more than ten million volts per centimetre. The application of more ultrashort optical light pulses resulted in changes to the crystal’s optical characteristics, which was instrumental to proving this state. “If we use suitably intense light pulses consisting of a few oscillations lasting some ten femtoseconds only, we can realize the Wannier-Stark localization for a short period of time,” says Alfred Leitenstorfer. “Our readings match the theoretical considerations and simulations carried out both by my own research team and by that of my colleague, Professor Wolf Gero Schmidt,” adds Torsten Meier. The researchers are planning to study the extreme state of Wannier-Stark localization on the atomic scale in more detail in the future and intend to make its particular characteristics usable.

A new way of arranging advanced computer components called memristors on a chip could enable them to be used for general computing, which could cut energy consumption by a factor of 100.

This would improve performance in low power environments such as smartphones or make for more efficient supercomputers, says a University of Michigan researcher.

This is the memristor array situated on a circuit board. Credit: Mohammed Zidan, Nanoelectronics group, University of Michigan.

“Historically, the semiconductor industry has improved performance by making devices faster. But although the processors and memories are very fast, they can’t be efficient because they have to wait for data to come in and out,” said Wei Lu, U-M professor of electrical and computer engineering and co-founder of memristor startup Crossbar Inc.

Memristors might be the answer. Named as a portmanteau of memory and resistor, they can be programmed to have different resistance states–meaning they store information as resistance levels. These circuit elements enable memory and processing in the same device, cutting out the data transfer bottleneck experienced by conventional computers in which the memory is separate from the processor.

However, unlike ordinary bits, which are 1 or 0, memristors can have resistances that are on a continuum. Some applications, such as computing that mimics the brain (neuromorphic), take advantage of the analog nature of memristors. But for ordinary computing, trying to differentiate among small variations in the current passing through a memristor device is not precise enough for numerical calculations.

Lu and his colleagues got around this problem by digitizing the current outputs–defining current ranges as specific bit values (i.e., 0 or 1). The team was also able to map large mathematical problems into smaller blocks within the array, improving the efficiency and flexibility of the system.

Computers with these new blocks, which the researchers call “memory-processing units,” could be particularly useful for implementing machine learning and artificial intelligence algorithms. They are also well suited to tasks that are based on matrix operations, such as simulations used for weather prediction. The simplest mathematical matrices, akin to tables with rows and columns of numbers, can map directly onto the grid of memristors.

Once the memristors are set to represent the numbers, operations that multiply and sum the rows and columns can be taken care of simultaneously, with a set of voltage pulses along the rows. The current measured at the end of each column contains the answers. A typical processor, in contrast, would have to read the value from each cell of the matrix, perform multiplication, and then sum up each column in series.

“We get the multiplication and addition in one step. It’s taken care of through physical laws. We don’t need to manually multiply and sum in a processor,” Lu said.

His team chose to solve partial differential equations as a test for a 32×32 memristor array–which Lu imagines as just one block of a future system. These equations, including those behind weather forecasting, underpin many problems science and engineering but are very challenging to solve. The difficulty comes from the complicated forms and multiple variables needed to model physical phenomena.

When solving partial differential equations exactly is impossible, solving them approximately can require supercomputers. These problems often involve very large matrices of data, so the memory-processor communication bottleneck is neatly solved with a memristor array. The equations Lu’s team used in their demonstration simulated a plasma reactor, such as those used for integrated circuit fabrication.

Imec, a research and innovation hub in nanoelectronics and digital technologies, announces that Niels Verellen, one of its young scientists, has been awarded an ERC Starting Grant. The grant of 1.5 million euros (for 5 years) will be used to enable high-resolution, fast, robust, zero-maintenance, inexpensive and ultra-compact microscopy technology based on on-chip photonics and CMOS image sensors. The technology paves the way for multiple applications of cell imaging in life sciences, biology, and medicine and compact, cost-effective DNA sequencing instruments.

Microscopy is an indispensable tool in biology and medicine that has fueled many breakthroughs. Recently the world of microscopy has witnessed a true revolution in terms of increased resolution of fluorescent imaging techniques, including a Nobel Prize in 2014. Yet, these techniques remain largely locked-up in specialized laboratories as they require bulky, expensive instrumentation and highly skilled operators.

The next big push in microscopy with a large societal impact will come from extremely compact and robust optical systems that will make high-resolution microscopy highly accessible and as such facilitate the diagnosis and treatment of diseases or disorders caused by problems at the cell or molecular level, such as meningitis, malaria, diabetes, cancer, and Alzheimer’s disease. Moreover, it will pave the way to DNA analysis as a more standard procedure, not only for the diagnosis of genomic disorders or in forensics, but also in cancer treatment, follow-up of transplants, the microbiome, pre-natal tests, and even agriculture, and archeology.

Niels Verellen, Senior Photonics Researcher & project leader at imec: “Compact, high-resolution and high-throughput microscopy devices will induce a profound change in the way cell biologists do research, in the way DNA sequencing becomes more and more accessible, in the way certain diseases can be diagnosed, new drugs are screened in the pharma industry, and healthcare workers can diagnose patients in remote areas.”

The topic of Verellen’s ERC grant is the development of Integrated high-Resolution On-Chip Structured Illumination Microscopy (IROCSIM). This new technology is based on a novel imaging platform that integrates active on-chip photonics and CMOS image sensors. “Whereas existing microscopy techniques today suffer from a trade-off between equipment size, field-of-view, and resolution, the IROCSIM solution will eliminate the need for bulky optical components and enable microscopy in the smallest possible form-factor, with a scalable field-of-view and without compromising the resolution,” continues Verellen.

The European Research Council (ERC) is a pan European funding body designed to support investigator-driven frontier research and stimulate scientific excellence across Europe. The ERC aims to support the best and most creative scientists to identify and explore new opportunities and directions in any field of research. ERC Starting grants in particular are designed to support outstanding researchers with 2 to 7 years postdoctoral experience.

Jo De Boeck, imec’s CTO says: “We are very proud that young researchers such as Niels Verellen are awarded an ERC Starting Grant and as such get a unique opportunity to fulfill their ambitions and creative ideas in research. At imec, we select and foster our young scientists and provide them with a world-class infrastructure. These ERC Starting Grants show that their work indeed meets the highest standards.”

Excitons could revolutionize the way engineers approach electronics. A team of EPFL researchers has created a new type of transistor – one of the components of circuits – using these particles instead of electrons. What is remarkable is that their exciton-based transistor functions effectively at room temperature, a hitherto insurmountable obstacle. They achieved this by using two 2D materials as semiconductors. Their study, which was published today in Nature, has numerous implications in the field of excitonics, one of the most promising new areas of study alongside photonics and spintronics.

“Our research showed that, by manipulating excitons, we had come upon a whole new approach to electronics,” says Andras Kis, who heads EPFL’s Laboratory of Nanoscale Electronics and Structures (LANES). “We are witnessing the emergence of a totally new field of study, the full scope of which we don’t yet know.”

This breakthrough sets the stage for optoelectronic devices that consume less energy and are both smaller and faster than current devices. In addition, it will be possible to integrate optical transmission and electronic data-processing systems into the same device, which will reduce the number of operations needed and make the systems more efficient.

Higher energy level

Excitons are actually quasiparticles, a term used to describe the interaction between the particles that make up a given substance rather than the substance itself. Excitons consist of an electron and an electron hole. The two are bound together when the electron absorbs a photon and achieves a higher level of energy; the “excited” electron leaves behind a hole in the previous level of energy, which, in band theory, is called a valence band. This hole, also a quasiparticle, is an indication of the missing electron in this band.

Since the electron is negatively charged and the hole is positively charged, the two particles remain bound by an electrostatic force. This bond between the electron and the hole is called Coulomb attraction. And it is in this state of tension and balance that they form an exciton. When the electron finally falls back into the hole, it emits a photon. And with that, the exciton ceases to exist. Put more simply, a photon goes in at one end of the circuit and comes out the other; while inside, it gives rise to an exciton that acts like a particle.

Double success

It is only recently that researchers have begun looking at the properties of excitons in the context of electronic circuits. The energy in excitons had always been considered too fragile and the excitons’ life span too short to be of any real interest in this domain. In addition, excitons could only be produced and controlled in circuits at extremely low temperatures (around -173 oC).

The breakthrough came when the EPFL researchers* discovered how to control the life span of the excitons and how to move them around. They did this by using two 2D materials: tungsten diselenide (WSe2) and molybdenum disulfide (MoS2). “The excitons in these materials exhibit a particularly strong electrostatic bond and, even more importantly, they are not quickly destroyed at room temperature,” explains Kis.

The researchers were also able to significantly lengthen the excitons’ life span by using the fact that the electrons always found their way to the MoS2 while the holes always ended up in the WSe2. And, working with two Japanese researchers**, they kept the excitons going even longer by protecting the semiconductor layers with boron nitride (BN).

“We created a special type of exciton, where the two sides are farther apart than in the conventional particle,” says the researcher. “This delays the process in which the electron returns to the hole and light is produced. It’s at this point, when the excitons remain in dipole form for slightly longer, that they can be controlled and moved around using an electric field.”

Growing a batch of carbon nanotubes that are all the same may not be as simple as researchers had hoped, according to Rice University scientists.

Rice materials theorist Boris Yakobson and his team bucked a theory that when growing nanotubes in a furnace, a catalyst with a specific atomic arrangement and symmetry would reliably make carbon nanotubes of like chirality, the angle of its carbon-atom lattice.

Rice University scientists have decoded the unusual growth characteristic of carbon nanotubes that start out as one chirality but switch to another, resulting in nearly homogenous batches of single-walled nanotubes. The nanotubes grow via chemical vapor deposition with a carbon-tungsten alloy catalyst. Credit: Evgeni Penev/Rice University

Instead, they found the catalyst in question starts nanotubes with a variety of chiral angles but redirects almost all of them toward a fast-growing variant known as (12,6). The cause appears to be a Janus-like interface that is composed of armchair and zigzag segments – and ultimately changes how nanotubes grow.

Because chirality determines a nanotube’s electrical properties, the ability to grow chiral-specific batches is a nanotechnology holy grail. It could lead to wires that, unlike copper or aluminum, transmit energy without loss. Nanotubes generally grow in random chiralities.

The Rice theoretical study detailed in the American Chemical Society journal Nano Letterscould be a step toward catalysts that produce homogenous batches of nanotubes, Yakobson said.

Yakobson and colleagues Evgeni Penev and Ksenia Bets and graduate student Nitant Gupta tackled a conundrum presented by other experimentalists at a 2013 workshop who used an alloy of cobalt and tungsten to catalyze single-walled nanotubes. In that lab’s batch, more than 90 percent of the nanotubes had a chirality of (12,6).

The numbers (12,6) are coordinates that refer to a nanotube’s chiral vector. Carbon nanotubes are rolled-up sheets of two-dimensional graphene. Graphene is highly conductive, but when it is rolled into a tube, its conductivity depends on the angle — or chirality — of its hexagonal lattice.

Armchair nanotubes — so called because of the armchair-like shape of their edges — have identical chiral indices, like (9,9), and are highly desired for their perfect conductivity. They are unlike zigzag nanotubes, such as (16,0), which may be semiconductors. Turning a graphene sheet a mere 30 degrees will change the nanotube it forms from armchair to zigzag or vice versa.

Penev said the experimentalists explained their work “in a way which was puzzling from the very beginning. They said this catalyst has a specific symmetry that matches the (12,6) edge, so these nanotubes preferentially nucleate and grow. This was the emergence of the so-called symmetry matching idea of carbon nanotube selective growth.

“We read and digested that, but we still couldn’t wrap our minds around it,” he said.

Shortly after the 2013 conference, the Yakobson lab published its own theory of nanotube growth, which showed that the balance between two opposing forces — the energy of the catalyst-nanotube contact and the speed at which atoms attach themselves to the growing tube at the interface — are responsible for chirality.

Five years later, that turns out to be just as true in their new paper, though with a twist. The Rice calculations show that the alloy Co7W6 promotes the formation of the Janus-like interface that ensures the necessary kink at the edge and allows carbon atoms to attach themselves to the nanotube’s foundation. But the catalyst also forces the nanotube to incorporate defects that alter its initial chirality midstream.

“We uncovered two things,” Yakobson said. “One is that the carbon atom types at the base of the nanotube separate into armchair and zigzag segments. The second is the tendency for the formation of defects that drive the chirality, or helicity, change. That makes (12,6) a sort of transient attractor, at least during short experiments. If they were able to grow forever, (12,6) nanotubes would eventually switch to armchairs.”

The unusual growth pattern might have been diagnosed much earlier if it weren’t for an age-old typo that required some dogged detective work.

“The trouble was in a standard online database that gives the crystal structure of this cobalt-tungsten alloy,” said Bets, co-lead author of the paper with Penev. “One entry was wrong. That messed up the structure so badly that we couldn’t use it in our density functional theory calculations.”

Once they found the error, Bets and co-author Gupta went back to the 1938 German paper that was first to correctly detail the structure of Co7W6. Even with that in hand, the team’s calculations used every bit of computing power they could find to simulate the energetic connections between each atom in the catalyst and carbon feedstock.

“We figured out that if we had run the calculations in series instead of in parallel, they would have taken the equivalent of at least 2,000 years of computer time,” Bets said.

“This paper is remarkable in many aspects: in the timing, the amount of detail and the surprises we found,” Penev said. “We’ve never had a project like this. We don’t yet know how this will be applicable to other materials, but we’re working on it.”

“There are four or five experimental papers, pretty recent ones, that also show a change of chirality during growth,” Bets said. “In fact, because it’s a probabilistic process, it’s essentially unavoidable. But until now it’s never been considered in the theoretical investigation of growth.”

Researchers at the National Institute of Standards and Technology (NIST) have made a silicon chip that distributes optical signals precisely across a miniature brain-like grid, showcasing a potential new design for neural networks.

NIST’s grid-on-a-chip distributes light signals precisely, showcasing a potential new design for neural networks. The three-dimensional structure enables complex routing scheme, which are necessary to mimic the brain. Light could travel farther and faster than electrical signals. Credit: Chiles/NIST

The human brain has billions of neurons (nerve cells), each with thousands of connections to other neurons. Many computing research projects aim to emulate the brain by creating circuits of artificial neural networks. But conventional electronics, including the electrical wiring of semiconductor circuits, often impedes the extremely complex routing required for useful neural networks.

The NIST team proposes to use light instead of electricity as a signaling medium. Neural networks already have demonstrated remarkable power in solving complex problems, including rapid pattern recognition and data analysis. The use of light would eliminate interference due to electrical charge and the signals would travel faster and farther.

“Light’s advantages could improve the performance of neural nets for scientific data analysis such as searches for Earth-like planets and quantum information science, and accelerate the development of highly intuitive control systems for autonomous vehicles,” NIST physicist Jeff Chiles said.

A conventional computer processes information through algorithms, or human-coded rules. By contrast, a neural network relies on a network of connections among processing elements, or neurons, which can be trained to recognize certain patterns of stimuli. A neural or neuromorphic computer would consist of a large, complex system of neural networks.

Described in a new paper, the NIST chip overcomes a major challenge to the use of light signals by vertically stacking two layers of photonic waveguides–structures that confine light into narrow lines for routing optical signals, much as wires route electrical signals. This three-dimensional (3D) design enables complex routing schemes, which are necessary to mimic neural systems. Furthermore, this design can easily be extended to incorporate additional waveguiding layers when needed for more complex networks.

The stacked waveguides form a three-dimensional grid with 10 inputs or “upstream” neurons each connecting to 10 outputs or “downstream” neurons, for a total of 100 receivers. Fabricated on a silicon wafer, the waveguides are made of silicon nitride and are each 800 nanometers (nm) wide and 400 nm thick. Researchers created software to automatically generate signal routing, with adjustable levels of connectivity between the neurons.

Laser light was directed into the chip through an optical fiber. The goal was to route each input to every output group, following a selected distribution pattern for light intensity or power. Power levels represent the pattern and degree of connectivity in the circuit. The authors demonstrated two schemes for controlling output intensity: uniform (each output receives the same power) and a “bell curve” distribution (in which middle neurons receive the most power, while peripheral neurons receive less).

To evaluate the results, researchers made images of the output signals. All signals were focused through a microscope lens onto a semiconductor sensor and processed into image frames. This method allows many devices to be analyzed at the same time with high precision. The output was highly uniform, with low error rates, confirming precise power distribution.

“We’ve really done two things here,” Chiles said. “We’ve begun to use the third dimension to enable more optical connectivity, and we’ve developed a new measurement technique to rapidly characterize many devices in a photonic system. Both advances are crucial as we begin to scale up to massive optoelectronic neural systems.”

Solar cells need to slim down.

Solar cells are devices that absorb photons from sunlight and convert their energy to move electrons — enabling the production of clean energy and providing a dependable route to help combat climate change. But most solar cells used widely today are thick, fragile and stiff, which limits their application to flat surfaces and increases the cost to make the solar cell.

“Thin-film solar cells” could be 1/100th the thickness of a piece of paper and flexible enough to festoon surfaces ranging from an aerodynamically sleek car to clothing. To make thin-film solar cells, scientists are moving beyond the “classic” semiconductor compounds, such as gallium arsenide or silicon, and working instead with other light-harvesting compounds that have the potential to be cheaper and easier to mass produce. The compounds could be widely adopted if they could perform as well as today’s technology.

In a paper published online this spring in the journal Nature Photonics, scientists at the University of Washington report that a prototype semiconductor thin-film has performed even better than today’s best solar cell materials at emitting light.

“It may sound odd since solar cells absorb light and turn it into electricity, but the best solar cell materials are also great at emitting light,” said co-author and UW chemical engineering professor Hugh Hillhouse, who is also a faculty member with both the UW’s Clean Energy Institute and Molecular Engineering & Sciences Institute. “In fact, typically the more efficiently they emit light, the more voltage they generate.”

The UW team achieved a record performance in this material, known as a lead-halide perovskite, by chemically treating it through a process known as “surface passivation,” which treats imperfections and reduces the likelihood that the absorbed photons will end up wasted rather than converted to useful energy.

“One large problem with perovskite solar cells is that too much absorbed sunlight was ending up as wasted heat, not useful electricity,” said co-author David Ginger, a UW professor of chemistry and chief scientist at the CEI. “We are hopeful that surface passivation strategies like this will help improve the performance and stability of perovskite solar cells.”

Ginger’s and Hillhouse’s teams worked together to demonstrate that surface passivation of perovskites sharply boosted performance to levels that would make this material among the best for thin-film solar cells. They experimented with a variety of chemicals for surface passivation before finding one, an organic compound known by its acronym TOPO, that boosted perovskite performance to levels approaching the best gallium arsenide semiconductors.

“Our team at the UW was one of the first to identify performance-limiting defects at the surfaces of perovskite materials, and now we are excited to have discovered an effective way to chemically engineer these surfaces with TOPO molecules,” said co-lead author Dane deQuilettes, a postdoctoral researcher at the Massachusetts Institute of Technology who conducted this research as a UW chemistry doctoral student. “At first, we were really surprised to find that the passivated materials seemed to be just as good as gallium arsenide, which holds the solar cell efficiency record. So to double-check our results, we devised a few different approaches to confirm the improvements in perovskite material quality.”

DeQuilettes and co-lead author Ian Braly, who conducted this research as a doctoral student in chemical engineering, showed that TOPO-treating a perovskite semiconductor significantly impacted both its internal and external photoluminescence quantum efficiencies — metrics used to determine how good a semiconducting material is at utilizing an absorbed photon’s energy rather than losing it as heat. TOPO-treating the perovskite increased the internal photoluminescence quantum efficiencies by tenfold — from 9.4 percent to nearly 92 percent.

“Our measurements observing the efficiency with which passivated hybrid perovskites absorb and emit light show that there are no inherent material flaws preventing further solar cell improvements,” said Braly. “Further, by fitting the emission spectra to a theoretical model, we showed that these materials could generate voltages 97 percent of the theoretical maximum, equal to the world record gallium arsenide solar cell and much higher than record silicon cells that only reach 84 percent.”

These improvements in material quality are theoretically predicted to enable the light-to-electricity power conversion efficiency to reach 27.9 percent under regular sunlight levels, which would push the perovskite-based photovoltaic record past the best silicon devices.

The next step for perovskites, the researchers said, is to demonstrate a similar chemical passivation that is compatible with easily manufactured electrodes — as well as to experiment with other types of surface passivation.

“Perovskites have already demonstrated unprecedented success in photovoltaic devices, but there is so much room for further improvement,” said deQuilettes. “Here we think we have provided a path forward for the community to better harness the sun’s energy.”

Each issue of the journal Nature Electronics contains a column called “Reverse Engineering,” which examines the development of an electronic device now in widespread use from the viewpoint of the main inventor. So far, it has featured creations such as the DRAM, DVD, CD, and Li-ion rechargeable battery. The July 2018 column tells the story of the IGZO thin film transistor (TFT) through the eyes of Professor Hideo Hosono of Tokyo Tech’s Institute of Innovative Research (IIR), who is also director of the Materials Research Center for Element Strategy.

TFTs using oxides including indium (In), gallium (Ga), and zinc (Zn), or IGZO, made possible high-resolution energy-efficient displays that had not been seen before. IGZO electron mobility is 10 times that of hydrogenated amorphous silicon, which was used exclusively for displays in the past. Additionally, its off current is extremely low and it is transparent, allowing light to pass through. IGZO has been applied to drive liquid crystal displays, such as those on smartphones and tablets. Three years ago, it was also used to drive large OLED televisions, which was considered a major breakthrough. This market is rapidly expanding, as can be seen from the products being released by South Korean and Japanese electronics manufacturers, which now dominate store shelves.

The electron conductivity of transition metal oxides has long been known, but electric current modulation using electric fields has not. In the 1960s, it was reported that modulating the electric current was possible when zinc oxide, tin oxide, and indium oxide were formed into TFT structures. Their performance, however, was poor, and reports of research on organic TFTs were mostly nonexistent until around 2000. A new field called oxide electronics came into existence in the early noughties, examining oxides as electronic materials. A hub for this research was the present-day Laboratory for Materials and Structures within IIR, and research into zinc oxide TFTs soon spread worldwide. However, since the thin film was polycrystalline, there were problems with its characteristics and stability, and no practical applications were achieved.

Application in displays, unlike CPUs, requires the ability to form a thin, homogenous film on a large-sizedsubstrate — like amorphous materials — and a dramatic increase in electric current at a low gate voltage when the thin film is subjected to an electric field. However, while amorphous materials were the optimal choice for forming thin, homogeneous film, high carrier concentration and other issues due to structural disorder arose, for the most part preventing electric current modulation by electric fields. The only exception was amorphous silicon containing a large amount of hydrogen, reported in 1975. TFTs made of this material were applied to drive liquid crystal displays, which grew into a giant 10 trillion-yen industry. However, electron mobility was still lower by two to three orders of magnitude compared to that of crystalline silicon — no better than 0.5 to 1 cm2 V-1 s-1. Amorphous semiconductors, therefore, were easy to produce, but were seen to have much inferior electronic properties.

Hosono focused his attention on oxides with highly ionic bonding nature, the series made up of non-transition metals belonging to the p-block of the periodic table. In this material series, the bottom of the conduction band, which works as the path for electron, is made up mainly of spherically symmetrical metal s-orbitals with a large spatial spread. Because of this, the degree of overlap of the orbitals, which govern how easily electrons can move, is not sensitive to bond angle variation which is an intrinsic nature of amorphous materials.

The professor realized that this characteristic might allow for mobility in amorphous materials that is comparable to that of polycrystalline thin films. He experimented accordingly, and was able to find some examples. In 1995, he presented his idea and examples at the 16th International Conference on Amorphous Semiconductors, and had the paper on its proceedings published the following year. After proving this hypothesis through experiments and calculations, he started test-producing TFTs. Many combinations of elements fulfilled the conditions of the hypothesis. IGZO was selected because it had a stable crystalline phase that is easy to prepare, and its specific local structure around Ga suggested that carrier concentration could be suppressed. In 2003, Hosono and his collaborators reported in Science that crystalline epitaxial thin film could produce mobility of around 80 cm2 V-1 s-1. In the following year, they published in Nature that amorphous thin film could also produce mobility of around 10 cm2 V-1 s-1.

Following these findings, research on amorphous oxide semiconductors and their TFTs began increasing rapidly around the world — not just among the Society for Information Display (SID) and the International Conference on Amorphous Semiconductors. This activity has continued, and Hosono’s two papers have now been cited over 2,000 and 5,000 times respectively. The total citations of the patents associated with these inventions now exceed 9,000. Products with displays incorporating these TFTs have been available to the general consumers since 2012. In particular, large OLED televisions, which appeared around 2015, became possible only due to the unique characteristics of amorphous IGZO TFTs — their high mobility and ability to easily form a thin, homogenous film over a large area. Such displays are installed on the first floor of the Materials Research Center for Element Strategy and the foyer of the Laboratory for Materials and Structures at Tokyo Tech. Application of IGZO TFTs to high-definition large LCD televisions are expected to start soon.

Researchers have shown that a chip-based device measuring a millimeter square could be used to generate quantum-based random numbers at gigabit per second speeds. The tiny device requires little power and could enable stand-alone random number generators or be incorporated into laptops and smart phones to offer real-time encryption.

Researchers created a chip-based device measuring a millimeter square that can potentially generate quantum-based random numbers at gigabit per second speeds. The small square to the right of the penny contains all the optical components of the random number generator. Credit: Francesco Raffaelli, University of Bristol

“While part of the control electronics is not integrated yet, the device we designed integrates all the required optical components on one chip,” said first author Francesco Raffaelli, University of Bristol, United Kingdom. “Using this device by itself or integrating it into other portable devices would be very useful in the future to make our information more secure and to better protect our privacy.”

Random number generators are used to encrypt data transmitted during digital transactions such as buying products online or sending a secure e-mail. Today’s random number generators are based on computer algorithms, which can leave data vulnerable if hackers figure out the algorithm used.

In The Optical Society (OSA) journal Optics Express, the researchers report a quantum random number generator based on randomly emitted photons from a diode laser. Because the photon emission is inherently random, it is impossible to predict the numbers that will be generated.

“Compared to other integrated quantum random number generators demonstrated recently, ours can accomplish very high generation rates with relatively low optical powers,” said Raffaelli. “Using less power to produce random numbers helps avoid problems such as excess heat on the chip.”

Silicon photonics

The new chip was enabled by developments in silicon photonics technology, which uses the same semiconductor fabrication techniques used to make computer chips to fabricate optical components in silicon. It is now possible to fabricate waveguides into silicon that can guide light through the chip without losing the light energy along the way. These waveguides can be integrated onto a chip with electronics and integrated detectors that operate at very high speeds to convert the light signals into information.

The new chip-based random number generator takes advantage of the fact that under certain conditions a laser will emit photons randomly. The device converts these photons into optical power using a tiny device called an interferometer. Very small photodetectors integrated into the same chip then detect the optical power and convert it into a voltage that can be turned into random numbers.

“Despite the advancements in silicon photonics, there is still light lost inside the chip, which leads to very little light reaching the detectors,” said Raffaelli. “This required us to optimize all the parameters very precisely and design low noise electronics to detect the optical signal inside the chip.”

The new chip-based device not only brings portability advantages but is also more stable than the same device made using bulk optics. This is because interferometers are very sensitive to environmental conditions such as temperature and it is easier to control the temperature of a small chip. It is also far easier to precisely reproduce thousands of identical chips using semiconductor fabrication, whereas reproducing the necessary precision with bulk optics is more difficult.

Testing the chip

To experimentally test their design, the researchers had a foundry fabricate the random number generator chip. After characterizing the optical and electronic performance, they used it for random number generation. They estimate a potential randomness generation rate of nearly 2.8 gigabits per second for their device, which would be fast enough to enable real-time encryption.

“We demonstrated random number generation using about a tenth of the power used in other chip-based quantum random number generator devices,” said Raffaelli. “Our work shows the feasibility of this type of integrated platform.”

Although the chip containing the optical components is only one millimeter square, the researchers used an external laser which provides the source of randomness and electronics and measurement tools that required an optical table. They are now working to create a portable device about the size of a mobile phone that contains both the chip and the necessary electronics.