activity
20182023
most citedThe Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design

538 citations · 938 across the 15 of their papers we have counts for

collaborators

15 papers

cond-mat.mtrl-sci2023★ 1 cited

Raman fingerprints of spin-phonon coupling and magnetic transition in an organic molecule intercalated Cr2Ge2Te6

Sudeshna Samanta, Hector Iturriaga, Thuc T. Mai +9

The manipulation of spin-phonon coupling in both formations and explorations of magnetism in two-dimensional van der Waals ferromagnetic semiconductors facilitates unprecedented pr…

cond-mat.mtrl-sci2023★ 59 cited

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods

Kamal Choudhary, Daniel Wines, Kangming Li +35

Lack of rigorous reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experiment…

cond-mat.mtrl-sci2023★ 39 cited

Recent progress in the JARVIS infrastructure for next-generation data-driven materials design

Daniel Wines, Ramya Gurunathan, Kevin F. Garrity +4

The Joint Automated Repository for Various Integrated Simulations (JARVIS) infrastructure at the National Institute of Standards and Technology (NIST) is a large-scale collection o…

cond-mat.mtrl-sci2023

Optical Signatures of Strain Differences in Epitaxial Graphene Nanoribbons

Heather M. Hill, Ching-Chen Yeh, Swapnil M. Mhatre +6

We demonstrate the preparation of both armchair and zigzag epitaxial graphene nanoribbons (GNRs) on 4H-SiC using a polymer-assisted, sublimation growth method. Historically, the pr…

quant-ph2023★ 1 cited

Spectroscopy of photoionization from the singlet state in nitrogenvacancy centers in diamond

Sean M. Blakley, Thuc T. Mai, Stephen J. Moxim +4

The singlet manifold of the negatively charged nitrogen vacancy center in diamond plays a central role in the quantum information and quantum sensing applicati…

cond-mat.mtrl-sci2022★ 16 cited

AtomVision: A machine vision library for atomistic images

Kamal Choudhary, Ramya Gurunathan, Brian DeCost +1

Computer vision techniques have immense potential for materials design applications. In this work, we introduce an integrated and general-purpose AtomVision library that can be use…