most citedTowards Agentic Intelligence for Materials Science

1 citations · 1 across the 10 of their papers we have counts for

collaborators

17 papers

cond-mat.mtrl-sci2026

Scale-Dependent Input Representation and Confidence Estimation for LLMs in Materials Property Prediction

Shuichiro Ozawa, Izumi Takahara, Teruyasu Mizoguchi

Large language models (LLMs) are increasingly applied to materials science. However, the relationship between prediction accuracy, input representation, and model scale remains unc…

cond-mat.mtrl-sci2026

Inverse Materials Design via Joint Generation of Crystal Structures and Local Electronic Descriptors

Ibuki Okuda, Izumi Takahara, Teruyasu Mizoguchi

Inverse design of inorganic crystals, in which structures are generated to satisfy a target property while preserving diversity and physical plausibility, remains more demanding th…

cond-mat.mtrl-sci2026

Ultrafast Sliding Ferroelectric Switching in Bilayer Hexagonal Boron Nitride Revealed by Deep Learning Molecular Dynamics

Yinan Wang, Poyen Chen, Teruyasu Mizoguchi

Sliding ferroelectricity in bilayer hexagonal boron nitride (h-BN) offers compelling prospects for next-generation non-volatile memory, yet the atomistic dynamics of electric-field…

cond-mat.mtrl-sci2026

Decoding Dopant-Induced Electronic Modulation in Graphene via Region-Resolved Machine Learning of XANES

Yinan Wang, Arpita Varadwaj, Teruyasu Mizoguchi +1

Revealing how heteroatom doping alters the local electronic structure of graphene is crucial for understanding and controlling its functional properties. In this study, we combine…

cond-mat.mtrl-sci2026

Long-range interaction effects on the phase transition, mechanical effect, and electric field response of BaTiO3 by machine learning potentials

Po-Yen Chen, Teruyasu Mizoguchi

Bulk materials are governed by both short-range and long-range interactions, both of which are naturally captured in conventional density functional theory (DFT) calculations throu…

cond-mat.mtrl-sci2026

Twist-Angle Engineering of Moiré Potentials for High-Performance Ionics in Bilayer Graphene

Gen Fukuzawa, Yebin Lee, Teruyasu Mizoguchi

Controlling ion transport is a fundamental challenge for advanced energy storage. Bilayer graphene offers a unique platform for modulating ion diffusion via twist-angle-dependent m…