
Liang Tian
Liang does research in Metallurgy, Mechanics and Materials Physics and machine learning and large-scale scalable parallel scientific software development. His research interests are powder metallurgy and severe plastic deformation, lightweight metallic nanocomposites, computational modeling techniques in kinetics and dynamic evolution of a broad range of materials classes, thermodynamics (e.g. DFT, molecular dynamics, mesoscale phase field, cluster expansion, Monte Carlo, Activation and Relaxation Techniques), data-driven materials design by machine learning and scientific computational software development. He is easy to work with, independent, responsive and curious about interesting problems and always glad to collaborate. He can be reached at email: liangtianisu@gmail.com
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