activity
20092023
most citedStrain engineering and one-dimensional organization of metal-insulator domains in single-crystal VO2 beams

658 citations · 1.2k across the 18 of their papers we have counts for

collaborators

18 papers

cond-mat.mes-hall2023★ 1 cited

Registry-dependent potential energy and lattice corrugation of twisted bilayer graphene from quantum Monte Carlo

Kittithat Krongchon, Tawfiqur Rakib, Shivesh Pathak +3

An uncertainty in studying twisted bilayer graphene (TBG) is the minimum energy geometry, which strongly affects the electronic structure. The minimum energy geometry is determined…

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★ 3 cited

The nature of dynamic local order in CHNHPbI and CHNHPbBr

Nicholas Weadock, Tyler Sterling, Julian Vigil +12

Hybrid lead halide perovskites (LHPs) are a class of semiconductor with novel properties that are distinctively governed by structural fluctuations. Diffraction experiments sensiti…

cond-mat.mtrl-sci2023

Origin of ultra-low thermal conductivity in unconventional clathrates: Strong scattering from extremely low-frequency rattling modes

Kamil M. Ciesielski, Brenden R. Ortiz, Lidia C. Gomes +6

Recent discoveries of materials with ultra-low thermal conductivity open a pathway to significant developments in the field of thermoelectricity. Here, we conduct a comparative stu…

cond-mat.mtrl-sci2022★ 1 cited

Towards overcoming data scarcity in materials science: unifying models and datasets with a mixture of experts framework

Rees Chang, Yu-Xiong Wang, Elif Ertekin

While machine learning has emerged in recent years as a useful tool for rapid prediction of materials properties, generating sufficient data to reliably train models without overfi…

cond-mat.mes-hall2021★ 30 cited

An accurate tight binding model for twisted bilayer graphene describes topological flat bands without geometric relaxation

Shivesh Pathak, Tawfiqur Rakib, Run Hou +4

A major hurdle in understanding the phase diagram of twisted bilayer graphene (TBLG) are the roles of lattice relaxation and electronic structure on isolated band flattening near m…