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Density of States Prediction for Materials Discovery via Contrastive Learning from Probabilistic Embeddings
Shufeng Kong, Francesco Ricci, Dan Guevarra +3
Machine learning for materials discovery has largely focused on predicting an individual scalar rather than multiple related properties, where spectral properties are an important…
Imaging gate-tunable Tomonaga-Luttinger liquids in 1H-MoSe mirror twin boundaries
Tiancong Zhu, Wei Ruan, Yan-Qi Wang +15
One-dimensional electron systems (1DESs) exhibit properties that are fundamentally different from higher-dimensional systems. For example, electron-electron interactions in 1DESs h…
Phonon Screening of Excitons in Semiconductors: Halide Perovskites and Beyond
Marina R. Filip, Jonah B. Haber, Jeffrey B. Neaton
The ab initio Bethe-Salpeter equation (BSE) approach, an established method for the study of excitons in materials, is typically solved in a limit where only static screening from…
Highly tunable magnetic phases in transition metal dichalcogenide FeNbS
Shan Wu, Zhijun Xu, Shannon C. Haley +8
Layered transition metal dichalcogenides (TMDCs) host a plethora of interesting physical phenomena ranging from charge order to superconductivity. By introducing magnetic ions into…
A room temperature polar ferromagnetic metal
Hongrui Zhang, Yu-Tsun Shao, Rui Chen +15
The advent of long-range magnetic order in non-centrosymmetric compounds has stimulated interest in the possibility of exotic spin transport phenomena and topologically protected s…
Origins of anisotropic transport in electrically-switchable antiferromagnet
Sophie F. Weber, Jeffrey B. Neaton
Recent experiments on the antiferromagnetic intercalated transition metal dichalcogenide have demonstrated reversible resistivity switching by application…