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20162021
most citedDensity of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings

94 citations · 114 across the 3 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cond-mat.mtrl-sci2020★ 16 cited

A three-order-parameter bistable magnetoelectric multiferroic metal

Andrea Urru, Francesco Ricci, Alessio Filippetti +2

Using first-principles calculations we predict that the layered-perovskite metal BiMnO is a ferromagnet, ferroelectric, and ferrotoroid which may realize the long so…

cond-mat.mtrl-sci2020

Structure motif centric learning framework for inorganic crystalline systems

Huta R. Banjade, Sandro Hauri, Shanshan Zhang +4

Incorporation of physical principles in a network-based machine learning (ML) architecture is a fundamental step toward the continued development of artificial intelligence for mat…