147 citations · 843 across the 42 of their papers we have counts for
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cond-mat.mtrl-sci2024
Tunable polar distortions and magnetism in GdLaPtSb epitaxial films
Dongxue Du, Cheyu Zhang, Jingrui Wei +5
Hexagonal intermetallics are predicted to have tunable ferroelectric, topological, and magnetic properties as a function of the polar buckling of atomic planes. We repor…
cond-mat.mtrl-sci2024★ 3 cited
Machine Learning Materials Properties with Accurate Predictions, Uncertainty Estimates, Domain Guidance, and Persistent Online Accessibility
Ryan Jacobs, Lane E. Schultz, Aristana Scourtas +7
One compelling vision of the future of materials discovery and design involves the use of machine learning (ML) models to predict materials properties and then rapidly find materia…
cond-mat.mtrl-sci2024★ 10 cited
Cold Seeded Epitaxy and Flexomagnetism in Smooth GdAuGe Membranes Exfoliated from graphene/Ge(111)
Z LaDuca, T Samanta, N Hagopian +7
Remote and van der Waals epitaxy are promising approaches for synthesizing single crystalline membranes for flexible electronics and discovery of new properties via extreme strain;…