3 papers
cond-mat.dis-nn2023
FluxGAN: A Physics-Aware Generative Adversarial Network Model for Generating Microstructures That Maintain Target Heat Flux
Artem K. Pimachev, Manoj Settipalli, Sanghamitra Neogi
We propose a physics-aware generative adversarial network model, FluxGAN, capable of simultaneously generating high-quality images of large microstructures and description of their…
cond-mat.mtrl-sci2020
First-Principles Prediction of Electronic Transport in Experimental Semiconductor Heterostructures via Physics-Based Machine Learning
Artem K. Pimachev, Sanghamitra Neogi
First-principles techniques for electronic transport property prediction have seen rapid progress in recent years. However, it remains a challenge to model heterostructures incorpo…
cond-mat.mtrl-sci2019
Modulation of Semiconductor Superlattice Thermopower Through Symmetry and Strain
Vitaly. S. Proshchenko, Manoj Settipalli, Artem K. Pimachev +1
In doped semiconductors and metals, the thermopower decreases with increasing carrier concentration, in agreement with the Pisarenko relation. Here, we demonstrate a new strain eng…