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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...
Tracking Nanostructural Evolution in Alloys: Large-Scale Analysis of Atom Probe Tomography Data on Blue Gene/L
Found in: Parallel Processing, International Conference on
By Sudip Seal, Michael Moody, Anna Ceguerra, Simon Ringer, Krishna Rajan, Srinivas Aluru
Issue Date:September 2008
pp. 338-345
The advent of Local Electrode Atom Probe (LEAP) tomography is revolutionizing materials science by enabling near atomic scale imaging of materials. Analysis of three-dimensional atom probe tomography (APT) data holds the promise of relating combinatorial a...