Power/Performance Bits: April 8


Predicting battery life Researchers at Stanford University, MIT, and Toyota Research Institute developed a machine learning model that can predict how long a lithium-ion battery can be expected to perform. The researchers' model was trained on a few hundred million data points of batteries charging and discharging. The dataset consists of 124 commercial lithium iron phosphate/graphite cells... » read more

Manufacturing Bits: April 2


Bright particle accelerators The High Energy Accelerator Research Organization (KEK) has reached a major milestone in the world’s most luminous or brightest particle accelerator. KEK has recently made the first physics run in the SuperKEKB, a storage ring that combines an electron-positron collider with a new and advanced detector. Electron-positron collisions have restarted at the SuperK... » read more

Power/Performance Bits: April 2


DNA programming Computer scientists at California Institute of Technology, University of California, Davis, Maynooth University, and Harvard University created a library of DNA molecules that can self-assemble to compute a variety of algorithms. Each molecule represents a six-bit binary number. The library created by the team is made up of around 700 short pieces, or tiles, of DNA. Each DNA... » read more

System Bits: April 2


Transparent film is stronger than aluminum Professor Ton Peijs of WMG at the University of Warwick and Professor Cees Bastiaansen at Queen Mary University of London came up with a new processing technique that produces a transparent polythene film said to be stronger than aluminum. The film could be used in displays, glazing, visors, and windshields, without adding significant weight. The d... » read more

Manufacturing Bits: March 26


ALD materials database Atomic Limits, a blog site that addresses atomic-level processing technologies, has developed an online database listing all atomic layer deposition (ALD) materials and processes. The database could be useful for ALD processes in semiconductors and other fields. ALD is a deposition technique that deposits materials one layer at a time. In ALD systems, wafers are place... » read more

System Bits: March 26


Swear to tell the truth Lots of lies are told on the Internet. Shuyuan Ho of Florida State University wants to unveil those falsehoods with an online polygraph. “The future of my research is an online polygraph that could be used many different ways,” said Ho, an associate professor in the College of Communication and Information. “You could use it for online dating, Facebook, Twitter... » read more

Power/Performance Bits: Mar. 26


Material holds both electrons, holes Researchers at Ohio State University discovered a material that can hold both electrons and holes. They hope the material, the layered metal crystal NaSn2As2, could simplify electronics, potentially removing the need for multiple layers or materials. "It is this dogma in science, that you have electrons or you have holes, but you don't have both. But our... » read more

Manufacturing Bits: March 19


Exascale computers Intel and the U.S. Department of Energy (DOE) have set plans to develop and deliver the first exascale supercomputer in the United States. The system, called Aurora, will provide an exaFLOP of performance or a quintillion floating point computations per second. Targeted for delivery in 2021, the system is being developed at DOE’s Argonne National Laboratory. The system ... » read more

System Bits: March 19


Nanomesh material could find use in sustainable applications Imec collaborated with KU Leuven to develop a nanomesh material made of a 3D structure with nanowires. This material could prove to make batteries more energy-efficient, while also improving catalytic converters and fuel cells, and making hydrogen production easier. The research team is touting the 3D nanometer-scale metal grid st... » read more

Power/Performance Bits: Mar. 19


Explainable AI Researchers from Technische Universität Berlin (TU Berlin), Fraunhofer Heinrich Hertz Institute (HHI), and Singapore University of Technology and Design (SUTD) propose a pair of algorithms to help determine how AI systems reach their conclusions. Explainable AI is an important step towards practical applications, argued Klaus-Robert Müller, Professor for Machine Learning at... » read more

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