activity
20162022
most citedBerry curvature memory through electrically driven stacking transitions

233 citations · 535 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2022★ 48 cited

Quantifying the performance of machine learning models in materials discovery

Christopher K. H. Borg, Eric S. Muckley, Clara Nyby +4

The predictive capabilities of machine learning (ML) models used in materials discovery are typically measured using simple statistics such as the root-mean-square error (RMSE) or…

cond-mat.mes-hall2021★ 52 cited

Dynamic lattice distortions driven by surface trapping in semiconductor nanocrystals

Burak Guzelturk, Benjamin L. Cotts, Dipti Jasrasaria +26

Nonradiative processes limit optoelectronic functionality of nanocrystals and curb their device performance. Nevertheless, the dynamic structural origins of nonradiative relaxation…

cond-mat.mtrl-sci2019★ 233 cited

Berry curvature memory through electrically driven stacking transitions

Jun Xiao, Ying Wang, Hua Wang +9

In two-dimensional layered quantum materials, the stacking order of the layers determines both the crystalline symmetry and electronic properties such as the Berry curvature, topol…

cond-mat.mtrl-sci2018★ 36 cited

Anisotropic structural dynamics of monolayer crystals revealed by femtosecond surface x-ray scattering

I-Cheng Tung, Aravind Krishnamoorthy, Sridhar Sadasivam +22

X-ray scattering is one of the primary tools to determine crystallographic configuration with atomic accuracy. However, the measurement of ultrafast structural dynamics in monolaye…

cond-mat.mes-hall2016★ 166 cited

Engineering the structural and electronic phases of MoTe2 through W substitution

D. Rhodes, D. A. Chenet, B. E. Janicek +30

MoTe is an exfoliable transition metal dichalcogenide (TMD) which crystallizes in three symmetries, the semiconducting trigonal-prismatic phase, the semimetallic $1T^{\pri…