Modeling electrical conduction in resistive-switching memory through machine learning


Published in AIP Advances on July 13, 2021. Read the full paper (open access). Abstract Traditional physical-based models have generally been used to model the resistive-switching behavior of resistive-switching memory (RSM). Recently, vacancy-based conduction-filament (CF) growth models have been used to model device characteristics of a wide range of RSM devices. However, few have focused o... » read more

Power/Performance Bits: Nov. 19


Quantum communications chip Researchers at Nanyang Technological University, Australian National University, A∗STAR, University of Science and Technology of China, Singapore University of Technology and Design, Sun Yat-sen University, Beijing University of Posts and Telecommunications, and National University of Singapore built an integrated silicon photonic chip capable of performing quantu... » read more

Manufacturing Bits: Oct. 1


3D balloon printing Using an elastomeric or stretchy balloon, the University of Houston and the University of Colorado have developed a new 3D printing method as a means to develop three-dimensional curvy electronic products. The technology involves the field of 3D printing, sometimes known as additive manufacturing (AM). In 3D printing, the goal is to develop parts layer-by-layer using mat... » read more

Manufacturing Bits: Aug. 27


Holographic lithography Switzerland’s Nanotech SWHL GmbH has come out of stealth mode and disclosed its initial technology—a holographic lithography system. Founded in 2015, Nanotech SWHL has developed a sub-wavelength holographic lithography system that generates and prints 3D images on surfaces with one mask at one exposure. Still in R&D, the system is initially targeted for advanced ... » read more

System Bits: July 10


Light waves run on silicon-based chips Researchers at the University of Sydney’s Nano Institute and Singapore University of Technology and Design collaborated on manipulating light waves on silicon-based microchips to keep coherent data as it travels thousands of miles on fiber-optic cables. Such waves—whether a tsunami or a photonic packet of information—are known as solitons. The... » read more

Manufacturing Bits: June 10


Predicting warpage in packages At the recent IEEE Electronic Components and Technology Conference (ECTC) in Las Vegas, there were several papers on ways to predict variation and warpage in IC packages. Advanced packages are prone to unwanted warpage during the process flow. The warpage challenges escalate as the packages become thinner. Warpage in turn can impact yields in IC packages. ... » 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

Will Self-Heating Stop FinFETs


New transistor designs and new materials don’t appear out of thin air. Their adoption always is driven by the limitations of the incumbent technology. Silicon germanium and other compound semiconductors are interesting because they promise superior carrier mobility relative to silicon. [getkc id="185" kc_name="FinFET"] transistor designs help minimize short channel effects, a critical limi... » read more

Manufacturing Bits: Sept. 29


Turning the nano-wrench The University of Vermont has developed a wrench that has linewidth geometries at 1.7nm. The so-called nano-wrench is an atomic-level tool, which could one day be used to create tiny structures and molecules. The nano-wrench has been devised using a technology called chirality-assisted synthesis (CAS). Chirality is derived from the Greek word for hand. If one holds u... » read more

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