3 papers
cond-mat.mtrl-sci2026
Permutation invariant neural network prediction of vacancy formation under deformation and varying chemical environment in FCC high entropy alloys
Tanvir Sohail, Swarnava Ghosh
Vacancy formation energies govern diffusion, irradiation damage, phase stability, and dynamic failure in high-entropy alloys (HEAs), yet their strong dependence on local chemical e…
quant-ph2026
Quantum solver for single-impurity Anderson models with particle-hole symmetry
Mariia Karabin, Tanvir Sohail, Dmytro Bykov +8
Quantum embedding methods, such as dynamical mean-field theory (DMFT), provide a powerful framework for investigating strongly correlated materials. A central computational bottlen…
cond-mat.mtrl-sci2026
Neural operator accelerated atomistic to continuum concurrent multiscale simulations of viscoelasticity
Tanvir Sohail, Burigede Liu, Swarnava Ghosh
We present a neural-operator-accelerated concurrent multiscale framework that couples atomistic simulations with continuum finite-element analysis for history-dependent materials,…