3 papers
cond-mat.mtrl-sci2026
Uni-XAS: Alignment-Driven Bidirectional Multimodal Learning for X-ray Absorption Spectroscopy
Suyang Zhong, Yuhao Zhao, Boying Huang +6
X-ray absorption spectroscopy (XAS) is a key technique for probing local atomic environments, yet learning based modeling must bridge two heterogeneous modalities: 1D continuous sp…
cond-mat.mtrl-sci2026
Solving the inverse problem of X-ray absorption spectroscopy via physics-informed deep learning
Suyang Zhong, Boying Huang, Pengwei Xu +6
Resolving transient atomic configurations in non-crystalline or dynamic environments remains a fundamental bottleneck in the physical sciences. While X-ray absorption spectroscopy…
physics.chem-ph2025
Machine Learning Accelerated Computational Surface-Specific Vibrational Spectroscopy Reveals Oxidation Level of Graphene in Contact with Water
Xianglong Du, Jun Cheng, Fujie Tang
Precise characterization of the graphene/water interface has been hindered by experimental inconsistencies and limited molecular-level access to interfacial structures. In this wor…