Research Bits: Dec. 16


Back-end integration Researchers from Massachusetts Institute of Technology (MIT) and the University of Waterloo propose a back-end integration platform that enables the fabrication of transistors and memory devices in a single compact stack on a chip. The approach uses amorphous indium oxide as the active channel layer of the back-end transistor. The properties of indium oxide allow a thin... » read more

Research Bits: Sept. 23


Opto-electrical excitation of MTJs Researchers at the University of Greifswald, International Iberian Nanotechnology Laboratory, Max Planck Institute for the Science of Light, and Aarhus University advanced the use of magnetic tunnel junctions (MTJs) for neuromorphic computing. The team developed a hybrid opto-electrical excitation scheme that combines electrical currents with short laser p... » read more

Guidelines For A Single-Nanometer Magnetic Tunnel Junction (MTJ)


A technical paper titled “Single-nanometer CoFeB/MgO magnetic tunnel junctions with high-retention and high-speed capabilities” was published by researchers at Tohoku University, Université de Lorraine, and Inamori Research Institute for Science. Abstract: "Making magnetic tunnel junctions (MTJs) smaller while meeting performance requirements is critical for future electronics with spin-... » read more

VCMA-Controlled MTJ Devices For Probabilistic Computing Applications


A technical paper titled “Probabilistic computing with voltage-controlled dynamics in magnetic tunnel junctions” was published by researchers at Northwestern University, University of Messina, Western Digital Corporation, and Universitat Jaume I. Abstract: "Probabilistic (p-) computing is a physics-based approach to addressing computational problems which are difficult to solve by convent... » read more

MTJ-based Circuits Provide Low-Cost, Energy Efficient Solution For Future Hardware Implementation in SC Algorithms


A review paper titled "Review of Magnetic Tunnel Junctions for Stochastic Computing" was published by researchers at University of Minnesota Twin Cities. Funding agencies include Semiconductor Research Corporation (SRC), CAPSL, NIST, DARPA and others. Abstract: "Modern computing schemes require large circuit areas and large energy consumption for neuromorphic computing applications, such as... » read more