From the 1 of 8 linked papers with an AI index.
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cond-mat.mtrl-sci2026
Physics-informed Machine Learning Prediction of Hubbard Interaction Parameters
Jiyeon Kim, Indukuru Ramesh Reddy, Bongjae Kim +1
The paper develops machine‑learning models that predict cRPA‑derived Hubbard interaction parameters (U_eff, V, and J) for transition‑metal oxides, providing both accurate predictio…
cond-mat.mtrl-sci2025
Strain Engineering of van Hove Singularity and Coupled Itinerant Ferromagnetism in Quasi-2D Oxide Superlattices
Seung Gyo Jeong, Minjae Kim, Jin Young Oh +12
Engineering van Hove singularities (vHss) near the Fermi level, if feasible, offers a powerful route to control exotic quantum phases in electronic and magnetic behaviors. However,…