AlphaGo Game Influences Argonne’s New AI Tool For Materials Discovery


Research paper titled "Learning in continuous action space for developing high dimensional potential energy models" from researchers at Argonne National Lab with contributions from Oak Ridge National Laboratory. Abstract "Reinforcement learning (RL) approaches that combine a tree search with deep learning have found remarkable success in searching exorbitantly large, albeit discrete action ... » read more

Quantum: Pairing Cooper Pairs Magnifies The Phase Fluctuations of the Ground State


New technical paper titled "Magnifying Quantum Phase Fluctuations with Cooper-Pair Pairing" from researchers at Université PSL, CNRS, Sorbonne Université, Université Paris-Diderot, Inria de Paris, PSL Research University. Abstract "Remarkably, complex assemblies of superconducting wires, electrodes, and Josephson junctions are compactly described by a handful of collective phase degrees ... » read more

Cu/SiO₂ Hybrid Bond Interconnects


Technical paper titled "Microstructure Development of Cu/SiO₂ Hybrid Bond Interconnects After Reliability Tests" from researchers at TU Dresden and others. Abstract: "The focus of this study is a detailed characterization of hybrid Cu/SiO 2 wafer-to-wafer bonding interconnects after reliability testing. Hybrid bonding (or direct bond interconnect) is a technology of choice for fine pitch... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments


New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

Compact and Tunable Electro-Optic Modulator for Free Space Applications Modulating Light at Gigahertz Speed


New research paper titled "Gigahertz free-space electro-optic modulators based on Mie resonances" from researchers at Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS), in collaboration with researchers at the department of Chemistry at the University of Washington. Partial Abstract "Electro-optic modulators are essential for sensing, metrology and telecommunicatio... » read more

Simulation Framework to Evaluate the Feasibility of Large-scale DNNs based on CIM Architecture & Analog NVM


Technical paper titled "Accuracy and Resiliency of Analog Compute-in-Memory Inference Engines" from researchers at UCLA. Abstract "Recently, analog compute-in-memory (CIM) architectures based on emerging analog non-volatile memory (NVM) technologies have been explored for deep neural networks (DNNs) to improve scalability, speed, and energy efficiency. Such architectures, however, leverage ... » read more

Effect of Different Frequency Scaling Levels on Memory in Regard to Total Power Consumption in Mobile MPSoC


New technical paper titled "CPU-GPU-Memory DVFS for Power-Efficient MPSoC in Mobile Cyber Physical Systems" from researchers at University of Essex, Nosh Technologies, and University of Southampton. Abstract "Most modern mobile cyber-physical systems such as smartphones come equipped with multi-processor systems-on-chip (MPSoCs) with variant computing capacity both to cater to performance r... » read more

Fermi-level Tuning Improves Device Stability of 2D Transistors With Amorphous Gate Oxides


New technical paper titled "Improving stability in two-dimensional transistors with amorphous gate oxides by Fermi-level tuning" from researchers at Institute for Microelectronics, TU Wien, AMO GmbH, University of Wuppertal, and RWTH Aachen University. Abstract "Electronic devices based on two-dimensional semiconductors suffer from limited electrical stability because charge carriers origin... » read more

Scalable Approach to Fabricate Memristor Arrays at Wafer-scale


New technical paper titled "Wafer-scale solution-processed 2D material analog resistive memory array for memory-based computing" from researchers at National University of Singapore and Institute of High Performance Computing, Singapore. Abstract "Realization of high-density and reliable resistive random access memories based on two-dimensional semiconductors is crucial toward their develop... » read more

CORDIC-based Chip Design With Iterative Pipelining Architecture for Biped Robots


New technical paper titled "Efficient and Accurate CORDIC Pipelined Architecture Chip Design Based on Binomial Approximation for Biped Robot," from researchers at Chung Yuan Christian University (Taiwan) and Ateneo de Manila University (Philippines). Abstract: "Recently, much research has focused on the design of biped robots with stable and smooth walking ability, identical to human bein... » read more

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