Yongqiang Cheng

According to our database, Yongqiang Cheng authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

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

Abhijatmedhi Chotrattanapituk, Ryotaro Okabe, Eunbi Rha, Mariya Al-Hinai, Eugene Jiang, Daniel M. Pajerowski, Yongqiang Cheng, Joshua J. Turner, Mingda Li

CoRR, May, 2026

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

Mouyang Cheng, Bowen Yu, Chu-Liang Fu, Nina Andrejevic, Matthias T. Agne, Riley Hanus, Qiwei Wan, Nathan C. Drucker, Thanh Nguyen, Andrei Fluerasu, Lutz Wiegart, Xiaoqian M. Chen, Daniel Pajerowski, Yongqiang Cheng, Joshua J. Turner, G. Jeffrey Snyder, Mingda Li

CoRR, May, 2026

2025

Enhancing Materials Discovery with Valence Constrained Design in Generative Modeling.

Mouyang Cheng, Weiliang Luo, Hao Tang, Bowen Yu, Yongqiang Cheng, Weiwei Xie, Ju Li, Heather J. Kulik, Mingda Li

CoRR, July, 2025

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

Mouyang Cheng, Chu-Liang Fu, Bowen Yu, Eunbi Rha, Abhijatmedhi Chotrattanapituk, Douglas L. Abernathy, Yongqiang Cheng, Mingda Li

CoRR, June, 2025

Data for: Formation of hydrided Pt-Ce-H sites in efficient, selective oxidation catalysts.

Ji Yang, Lorenz J. Falling, Siyang Yan, Biluan Zhang, Pragya Verma, Luke Daemen, Yongqiang Cheng, Xiao Zhao, Shuchen Zhang, Jeng-Lung Chen, Bingqing Yao, Shengdong Tan, Sudong Chae, Qian He, Slavomir Nemsak, Zili Wu, David Prendergast, Yanbing Guo, Jiaxu Liu, Miquel Salmeron, Ji Su

Dataset, March, 2025

Benchmarking universal machine learning interatomic potentials for rapid analysis of inelastic neutron scattering data^*.

Bowen Han, Yongqiang Cheng

Mach. Learn. Sci. Technol., 2025

2024

Virtual node graph neural network for full phonon prediction.

Ryotaro Okabe, Abhijatmedhi Chotrattanapituk, Artittaya Boonkird, Nina Andrejevic, Xiang Fu, Tommi S. Jaakkola, Qichen Song, Thanh Nguyen, Nathan C. Drucker, Sai Mu, Yao Wang, Bolin Liao, Yongqiang Cheng, Mingda Li

Nat. Comput. Sci., July, 2024

INSPIRED: Inelastic neutron scattering prediction for instantaneous results and experimental design.

Bowen Han, Andrei T. Savici, Mingda Li, Yongqiang Cheng

Comput. Phys. Commun., 2024

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

Ryotaro Okabe, Mouyang Cheng, Abhijatmedhi Chotrattanapituk, Nguyen Tuan Hung, Xiang Fu, Bowen Han, Yao Wang, Weiwei Xie, Robert J. Cava, Tommi S. Jaakkola, Yongqiang Cheng, Mingda Li

CoRR, 2024

2023

Direct prediction of inelastic neutron scattering spectra from the crystal structure.

Yongqiang Cheng, Geoffrey Wu, Daniel M. Pajerowski, Matthew B. Stone, Andrei T. Savici, Mingda Li, Anibal Ramirez-Cuesta

Mach. Learn. Sci. Technol., March, 2023