activity
20172020
most citedDensity Functional Theory and Deep-learning to Accelerate Data Analytics in Scanning Tunneling Microscopy

9 citations · 9 across the 3 of their papers we have counts for

collaborators

8 papers

cond-mat.mtrl-sci2020

Database of Wannier Tight-binding Hamiltonians using High-throughput Density Functional Theory

Kevin F. Garrity, Kamal Choudhary

We develop a computational workflow for high-throughput Wannierization of density functional theory (DFT) based electronic band structure calculations. We apply this workflow to 17…

cond-mat.mtrl-sci2020

Density Functional Theory based Electric Field Gradient Database

Kamal Choudhary, Jaafar N. Ansari, Igor I. Mazin +1

The deviation of the electron density around the nuclei from spherical symmetry determines the electric field gradient (EFG), which can be measured by various types of spectroscopy…

cond-mat.mtrl-sci2020

Computational Search for Magnetic and Non-magnetic 2D Topological Materials using Unified Spin-orbit Spillage Screening

Kamal Choudhary, Kevin F. Garrity, Jie Jiang +2

Two-dimensional topological materials (TMs) have a variety of properties that make them attractive for applications including spintronics and quantum computation. However, there ar…

cond-mat.mtrl-sci20199 cited

Density Functional Theory and Deep-learning to Accelerate Data Analytics in Scanning Tunneling Microscopy

Kamal Choudhary, Kevin F. Garrity, Charles Camp +4

We introduce the first systematic database of scanning tunneling microscope (STM) images obtained using density functional theory (DFT) for two-dimensional (2D) materials, calculat…

cond-mat.mtrl-sci2019

High-throughput Density Functional Perturbation Theory and Machine Learning Predictions of Infrared, Piezoelectric and Dielectric Responses

Kamal Choudhary, Kevin F. Garrity, Vinit Sharma +3

Many technological applications depend on the response of materials to electric fields, but available databases of such responses are limited. Here, we explore the infrared, piezoe…

cond-mat.mtrl-sci2019

Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods

Kamal Choudhary, Marnik Bercx, Jie Jiang +3

Solar-energy plays an important role in solving serious environmental problems and meeting high-energy demand. However, the lack of suitable materials hinders further progress of t…