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Revisiting Computational Thermodynamics through Machine Learning of High-Dimensional Data
Found in: Computing in Science & Engineering
By Srikant Srinivasan,Krishna Rajan
Issue Date:September 2013
pp. 22-31
A new perspective on alloy thermodynamics computation uses data-driven analysis and machine learning for the design and discovery of materials. The focus is on an integrated machine-learning framework, coupling different genres of supervised and unsupervis...
Low-power functionality enhanced computation architecture using spin-based devices
Found in: Nanoscale Architectures, IEEE International Symposium on
By Charles Augustine,Georgios Panagopoulos,Behtash Behin-Aein,Srikant Srinivasan,Angik Sarkar,Kaushik Roy
Issue Date:June 2011
pp. 129-136
Power consumption in CMOS integrated circuits increases every technology generation due to increased subthreshold and gate leakage currents. To cope with such a problem, researchers have started looking at the possibility of logic devices based on electron...