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

D Wines, R Gurunathan, KF Garrity, B DeCost… - Applied Physics …, 2023 - pubs.aip.org
The joint automated repository for various integrated simulations (JARVIS) infrastructure at
the National Institute of Standards and Technology is a large-scale collection of curated …

High-throughput DFT-based discovery of next generation two-dimensional (2D) superconductors

D Wines, K Choudhary, AJ Biacchi, KF Garrity… - Nano …, 2023 - ACS Publications
High-throughput density functional theory (DFT) calculations allow for a systematic search
for conventional superconductors. With the recent interest in two-dimensional (2D) …

Inverse design of next-generation superconductors using data-driven deep generative models

D Wines, T Xie, K Choudhary - The Journal of Physical Chemistry …, 2023 - ACS Publications
Finding new superconductors with a high critical temperature (T c) has been a challenging
task due to computational and experimental costs. We present a diffusion model inspired by …

A Quantum Monte Carlo Study of the Structural, Energetic, and Magnetic Properties of Two-Dimensional H and T Phase VSe2

D Wines, J Tiihonen, K Saritas, JT Krogel… - The Journal of …, 2023 - ACS Publications
Previous works have controversially claimed near-room-temperature ferromagnetism in two-
dimensional (2D) VSe2, with conflicting results throughout the literature. These …

Theoretical Study on the Raman Effect Due to Magnons in Two-Dimensional Magnets

S Liu, M Long, YP Wang - Nano Letters, 2023 - ACS Publications
Raman spectroscopy is one of the most useful experimental tools for studying elementary
excitations in two-dimensional (2D) materials. The Raman scattering due to phonons was …

[HTML][HTML] The role of electron correlations in the electronic structure of putative Chern magnet TbMn6Sn6

A Annaberdiyev, S Mandal, L Mitas, JT Krogel… - npj Quantum …, 2023 - nature.com
A member of the RMn6Sn6 rare-earth family materials, TbMn6Sn6, recently showed
experimental signatures of the realization of a quantum-limit Chern magnet. In this work, we …

Accelerated Data-Driven Discovery and Screening of Two-Dimensional Magnets Using Graph Neural Networks

A Elrashidy, J Della-Giustina… - The Journal of Physical …, 2024 - ACS Publications
In this study, we employ graph neural networks (GNNs) to accelerate the discovery of novel
2D magnetic materials which have transformative potential in spintronic applications. Using …

On-site and intersite Hubbard corrections in magnetic monolayers: The case of and

F Haddadi, E Linscott, I Timrov, N Marzari… - Physical Review …, 2024 - APS
Hubbard-corrected density-functional theory has proven to be successful in addressing self-
interaction errors in 3D magnetic materials. However, the effectiveness of this approach for …

Magnetic properties of CrX 3 (X= Cl, Br, I) monolayers in excited states

P Mishra, T Baruah - Journal of Materials Chemistry C, 2024 - pubs.rsc.org
The presence of intrinsic ferromagnetism in a new class of magnetic semiconductors CrX3
(X= Cl, Br, I) in a reduced dimension is associated with magnetic anisotropy energy (MAE) …

Beyond the random phase approximation for calculating curie temperatures in ferromagnets: application to Fe, Ni, Co and monolayer CrI3

VR Pavizhakumari, T Skovhus, T Olsen - arXiv preprint arXiv:2405.00477, 2024 - arxiv.org
The magnetic properties of solids are typically analyzed in terms of Heisenberg models
where the electronic structure is approximated by interacting localized spins. However, even …