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Synchrotron S-ray Diffraction-based Non-destructive Nanoscale Mapping of Si/SiGe Nanosheets for GAA structures
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

New research paper titled "Mapping of the mechanical response in Si/SiGe nanosheet device geometries" from researchers at IBM T.J. Watson Research Center and Brookhaven National Laboratory. Sponsored by U.S. DOE. Abstract "The performance of next-generation, nanoelectronic devices relies on a precise understanding of strain within the constituent materials. However, the increased flexibilit... » read more

ORNL: Advantages of Using Wide Bandgap Semiconductor Materials For Extreme Temp & Radiation
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

Research paper from ORNL (Oak Ridge National Lab) titled "Wide Bandgap Semiconductors for Extreme Temperature and Radiation Environments." Abstract "With their greater voltage breakdowns, higher current limitations, and faster switching speeds, wide bandgap semiconductors are increasing in market application over the traditionally dominant silicon devices. Silicon carbide semiconductors hav... » read more

MIT: Stackable AI Chip With Lego-style Design
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

New technical paper titled "Reconfigurable heterogeneous integration using stackable chips with embedded artificial intelligence" from researchers at MIT, along with Harvard University, Tsinghua University, Zhejiang University, and others. Partial Abstract: "Here we report stackable hetero-integrated chips that use optoelectronic device arrays for chip-to-chip communication and neuromorphic... » read more

Finding Wafer Defects Using Quantum DL
By Technical Paper Link - 13 Jun, 2022 - Comments: 0

New research paper titled "Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning" by researchers at National Tsing Hua University. Abstract "With the rapid development of artificial intelligence and autonomous driving technology, the demand for semiconductors is projected to rise substantially. However, the massive expansion of semiconductor manufacturing and the develo... » read more

AlphaGo Game Influences Argonne’s New AI Tool For Materials Discovery
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

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
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

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/SiOâ‚‚ Hybrid Bond Interconnects
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

Technical paper titled "Microstructure Development of Cu/SiOâ‚‚ 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
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

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
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

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
By Technical Paper Link - 10 Jun, 2022 - Comments: 0

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

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