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researcher

Kamal Choudhary

18 papers hereh-index 221.7k citations70 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author10
  • middle author5
  • last author1

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci13
  • cond-mat.str-el2
  • cond-mat.supr-con2
  • cond-mat.quant-gas1
same name
  • Kamal Choudhary — 6 papers, h 9
  • Kamal Choudhary — 3 papers, h 5
  • Kamal Choudhary — 2 papers
  • Kamal Choudhary — 1 paper, h 4
  • Kamal Choudhary — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20142022
most citedConvergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations

186 citations · 1k across the 18 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

cond-mat.supr-con2022★ 68 cited

High-Throughput DFT-Based Discovery of Next Generation Two-Dimensional (2D) Superconductors

Daniel Wines, Kamal Choudhary, Adam J. Biacchi +2

High-throughput density functional theory (DFT) calculations allow for a systematic search for conventional superconductors. With the recent interest in two-dimensional (2D) superc…

cond-mat.str-el2022★ 33 cited

Systematic DFT+U and Quantum Monte Carlo benchmark of magnetic two-dimensional (2D) CrX3​ (X = I, Br, Cl, F)

Daniel Wines, Kamal Choudhary, Francesca Tavazza

The search for two-dimensional (2D) magnetic materials has attracted a great deal of attention because of the experimental synthesis of 2D CrI3​, which has a measured Curie tempe…

cond-mat.supr-con2022★ 78 cited

Designing High-Tc Superconductors with BCS-inspired Screening, Density Functional Theory and Deep-learning

Kamal Choudhary, Kevin Garrity

We develop a multi-step workflow for the discovery of conventional superconductors, starting with a Bardeen Cooper Schrieffer inspired pre-screening of 1736 materials with high Deb…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.