activity
20092026
most citedNative surface oxide turns alloyed silicon membranes into nanophononic metamaterials with ultra-low thermal conductivity

67 citations · 153 across the 13 of their papers we have counts for

collaborators

13 papers

quant-ph2026

A Mean-Field Lindblad Master Equation Framework for Interaction-Driven Decoherence in Solid-State Qubit Ensembles

Dhiman Nandi, Sanghamitra Neogi

Multi-qubit systems are essential for scalable quantum technologies, but their performance is often limited by decoherence from qubit--qubit interactions and environmental noise. A…

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.mes-hall2023★ 4 cited

Investigation of Phonon Lifetimes and Magnon-Phonon Coupling in YIG/GGG Hybrid Magnonic Systems in the Diffraction Limited Regime

Manoj Settipalli, Xufeng Zhang, Sanghamitra Neogi

Quantum memories facilitate the storage and retrieval of quantum information for on-chip and long-distance quantum communications. Thus, they play a critical role in quantum inform…

cond-mat.mtrl-sci2023★ 1 cited

Bidirectional Learning of Relationships between Atomic Environments and Electronic Band Dispersion in Semiconductor Heterostructures

Artem K Pimachev, Sanghamitra Neogi

Atomic-scale variations in semiconductor heterostructures, arising from strain, interfaces, and compositional modulation, strongly influence electronic band dispersion but remain d…

cond-mat.mtrl-sci2021

Effect of Electron-Phonon and Electron-Impurity Scattering on Electronic Transport Properties of Silicon/Germanium Superlattices

Manoj Settipalli, Vitaly S Proshchenko, Sanghamitra Neogi

Semiconductor superlattices have been extensively investigated for thermoelectric applications, to explore the effects of compositions, interface structures, and lattice strain env…

cond-mat.mtrl-sci2020★ 34 cited

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…