R. M. Shelby

Equivalent-accuracy accelerated neural-network training using analogue memory

Stefano Ambrogio, Pritish Narayanan, Hsinyu Tsai et al. · Nature · 2018 · 1.1K citations · Full text

Computing, Computer Science, Analog Electronics +8

Neuromorphic computing using non-volatile memory

Geoffrey W. Burr, R. M. Shelby, Abu Sebastian et al. · Advances in Physics X · 2016 · 1.1K citations · Full text

Life Sciences, Computer Engineering, Computer Systems +17

Phase-change random access memory: A scalable technology

Simone Raoux, Geoffrey W. Burr, M. Breitwisch et al. · IBM Journal of Research and Development · 2008 · 1K citations

Engineering, Materials Engineering, Materials Science +17

Solvents’ Critical Role in Nonaqueous Lithium–Oxygen Battery Electrochemistry

Bryan D. McCloskey, Donald S. Bethune, R. M. Shelby et al. · The Journal of Physical Chemistry Letters · 2011 · 1K citations

Natural Sciences, Chemical Engineering, Chemistry +17

Experimental Demonstration and Tolerancing of a Large-Scale Neural Network (165 000 Synapses) Using Phase-Change Memory as the Synaptic Weight Element

Geoffrey W. Burr, R. M. Shelby, Severin Sidler et al. · IEEE Transactions on Electron Devices · 2015 · 923 citations · Full text

Computing, Computer Systems, Machine Learning +16