60 citations · 116 across the 6 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 1 cited
Machine learning interatomic potential for high throughput screening and optimization of high-entropy alloys
Anup Pandey, Jonathan Gigax, Reeju Pokharel
We have developed a machine learning-based interatomic potential (MLIP) for the quaternary MoNbTaW (R4) and quinary MoNbTaTiW (R5) high entropy alloys (HEAs). MLIPs enabled accurat…
cond-mat.mtrl-sci2021★ 60 cited
Deformation and dislocation evolution in body-centered-cubic single- and polycrystal tantalum
Seunghyeon Lee, Hansohl Cho, Curt A. Bronkhorst +7
A physically-informed continuum crystal plasticity model is presented to elucidate the deformation mechanisms and dislocation evolution in body-centered-cubic (bcc) tantalum widely…
cond-mat.mtrl-sci2020★ 11 cited
Machine learning enabled surrogate crystal plasticity model for spatially resolved 3D orientation evolution under uniaxial tension
Anup Pandey, Reeju Pokharel
We present a novel machine learning based surrogate modeling method for predicting spatially resolved 3D microstructure evolution of polycrystalline materials under uniaxial tensil…