activity
20232026
most citedStructural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates

2 citations · 3 across the 11 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

7 papers · 1 filter

cond-mat.mtrl-sci2026

Universal Magnetic Structure Prediction from Atomic Coordinates with Near-Experimental Accuracy

Abhijatmedhi Chotrattanapituk, Ryotaro Okabe, Eunbi Rha +6

Magnetic order is a fundamental property of materials, governing collective behavior and enabling a broad range of functionalities. Yet magnetic structure remains difficult to dete…

cond-mat.mtrl-sci2026

Automated multiphase identification and refinement in powder diffraction using mismatch-tolerant machine learning

Lalit Yadav, Yongqiang Cheng, Mathieu Doucet

Powder diffraction is a primary structural characterization tool in materials science, yet automated phase identification remains a major bottleneck for autonomous discovery. Exist…

cond-mat.mtrl-sci2026

Probing Non-Equilibrium Grain Boundary Dynamics with XPCS and Domain-Adaptive Machine Learning

Mouyang Cheng, Bowen Yu, Chu-Liang Fu +14

Grain-boundary (GB) dynamics control the stability, mechanical, and functional response of nanocrystalline materials, but direct experimental access to their slow non-equilibrium m…

cond-mat.mtrl-sci2025

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling

Mouyang Cheng, Weiliang Luo, Hao Tang +6

Diffusion-based deep generative models have emerged as powerful tools for inverse materials design. Yet, many existing approaches overlook essential chemical constraints such as ox…

cond-mat.mtrl-sci2025

A Foundation Model for Non-Destructive Defect Identification from Vibrational Spectra

Mouyang Cheng, Chu-Liang Fu, Bowen Yu +5

Defects are ubiquitous in solids and strongly influence materials' mechanical and functional properties. However, non-destructive characterization and quantification of defects, es…

cond-mat.mtrl-sci2025

AI-Driven Defect Engineering for Advanced Thermoelectric Materials

Chu-Liang Fu, Mouyang Cheng, Nguyen Tuan Hung +7

Thermoelectric materials offer a promising pathway to directly convert waste heat to electricity. However, achieving high performance remains challenging due to intrinsic trade-off…

cond-mat.mtrl-sci2024★ 2 cited

Structural Constraint Integration in Generative Model for Discovery of Quantum Material Candidates

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk +9

Billions of organic molecules are known, but only a tiny fraction of the functional inorganic materials have been discovered, a particularly relevant problem to the community searc…