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-sci2019
Theoretical Prediction of Enhanced Thermopower in n-doped Si/Ge Superlattices using Effective Mass Approximation
Manoj Settipalli, Sanghamitra Neogi
We analyze the cross-plane miniband transport in n-doped [001] silicon (Si)/germanium (Ge) superlattices using an effective mass approximation (EMA) approach that correctly account…
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…