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Web Content A Direct Bridge An algorithm developed by University of Arkansas engineers aids both computational scientists and experimentalists exploring the atomic scale structure of materials. story engineering materials science
Web Content Going with the Flow XSEDE-Powered Calculations Shed Light on Heat Transfer Between 2D Electronic Components successes materials ucla materials science
Web Content XSEDE Supercomputer Simulations Aid in Solving Boron Carbide Mystery Novel research findings assist in advancing future military armor successes tacc materials sdsc materials science
Web Content Deep Learning for New Alloys Stampede2 supercomputer helps find new properties of high-entropy alloys successes tacc materials science machine learning computer simulations
Web Content XSEDE Resources Help Researchers Achieve Crystal Clear Results. Literally. Supercomputer-Generated Models Shed Light on Color-Changing Material Applications successes comet sdsc chemistry materials science mps che
Web Content Researchers Use Machine Learning to More Quickly Analyze Key Capacitor Materials XSEDE Resources Speed Up Electronics Design successes tacc stampede2 comet sdsc georgia tech materials science mps dmr
Web Content MuST Program Simplifies Predictions of Material Properties XSEDE ECSS scientist a leader in development of open-source tool for engineering new substances ecss successes psc bridges materials science mps dmr must multiple scattering theory disordered materials locally self-consistent multiple scattering theory lsms density function theory dft korringa-kohn-rostoker coherent potential approximation kkr cpa kubo-greenwood formula electron flow

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