activity
20102023
most citedPredicting phase behavior of grain boundaries with evolutionary search and machine learning

175 citations · 271 across the 13 of their papers we have counts for

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Showing cond-mat.mtrl-sciShow all

5 papers · 1 filter

cond-mat.mtrl-sci2022

Material Effects on Electron Capture Decays in Cryogenic Sensors

Amit Samanta, Stephan Friedrich, Kyle G. Leach +1

Several current searches for physics beyond the standard model are based on measuring the electron capture (EC) decay of radionuclides implanted into cryogenic high-resolution sens…

cond-mat.mtrl-sci2020

Quantized grain boundary states promote nanoparticle alignment during imperfect oriented attachment

Andrew P. Lange, Amit Samanta, Tammy Y. Olson +1

Oriented attachment (OA) has become a well-recognized mechanism for the growth of metal, ceramic, and biomineral crystals. While many computational and experimental studies of OA h…

cond-mat.mtrl-sci2017★ 175 cited

Predicting phase behavior of grain boundaries with evolutionary search and machine learning

Qiang Zhu, Amit Samanta, Bingxi Li +2

The study of grain boundary phase transitions is an emerging field until recently dominated by experiments. The major bottleneck in exploration of this phenomenon with atomistic mo…

cond-mat.mtrl-sci2011★ 40 cited

Atomistic simulations of rare events using gentlest ascent dynamics

Amit Samanta, Weinan E

The dynamics of complex systems often involve thermally activated barrier crossing events that allow these systems to move from one basin of attraction on the high dimensional ener…

cond-mat.mtrl-sci2010★ 5 cited

Thermodynamic stability of oxygen point defects in cubic Zirconia

Amit Samanta, Thomas Lenosky, Ju Li

Zirconia (ZrO2) is an important material with technological applications which are affected by point defect physics. Ab-initio calculations are performed to understand the structur…