3 papers
cond-mat.str-el2026
Neural-Network Quantum Embedding Solvers for Correlated Materials
Agnes Valenti, Ina Park, Antoine Georges +2
Quantum impurity solvers are the computational bottleneck of quantum embedding approaches to correlated materials, such as dynamical mean-field theory (DMFT). We show that neural n…
cond-mat.mtrl-sci2025
Pressure-induced thermal expansion anomalies in dhcp iron hydride associated with magnetoelastic coupling
Yuichiro Mori, Katsutoshi Aoki, Masahiro Takano +7
Iron hydride with a double hexagonal close-packed structure (dhcp-FeH) undergoes a ferromagnetic-paramagnetic transition without changing its crystal structure. Despite its r…
cond-mat.mtrl-sci2021
Extraordinary Photostability and Davydov Splitting in BN-Sandwiched Single-Layer Tetracene Molecular Crystals
Seonghyun Koo, Ina Park, Kenji Watanabe +3
Two-dimensional molecular crystals have been beyond the reach of systematic investigation because of the lack or instability of their well-defined forms. Here, we demonstrate drast…