77 citations · 90 across the 11 of their papers we have counts for
Showing cond-mat.mtrl-sciShow all
2 papers · 1 filter
cond-mat.mtrl-sci2021
Neural-networks model for force prediction in multi-principal-element alloys
Rahul Singh, Prashant Singh, Aayush Sharma +6
Atomistic simulations can provide useful insights into the physical properties of multi-principal-element alloys. However, classical potentials mostly fail to capture key quantum (…
cond-mat.mtrl-sci2018
3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys
Rahul Singh, Aayush Sharma, Onur Rauf Bingol +4
The need for advanced materials has led to the development of complex, multi-component alloys or solid-solution alloys. These materials have shown exceptional properties like stren…