most citedData-Driven Modeling of Dislocation Mobility from Atomistics using Physics-Informed Machine Learning

1 citations · 1 across the 2 of their papers we have counts for

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2 papers

stat.ML2024

Liouville Flow Importance Sampler

Yifeng Tian, Nishant Panda, Yen Ting Lin

We present the Liouville Flow Importance Sampler (LFIS), an innovative flow-based model for generating samples from unnormalized density functions. LFIS learns a time-dependent vel…

cond-mat.mtrl-sci2024★ 1 cited

Data-Driven Modeling of Dislocation Mobility from Atomistics using Physics-Informed Machine Learning

Yifeng Tian, Soumendu Bagchi, Liam Myhill +5

Dislocation mobility, which dictates the response of dislocations to an applied stress, is a fundamental property of crystalline materials that governs the evolution of plastic def…