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From the 1 of 6 linked papers with an AI index.

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6 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…

physics.chem-ph2026

Ai2-Kit: Streamlining AI-Accelerated Ab Initio Workflows for Complex Chemical Systems

Sheng Bi, Wei-Hong Xu, Yong-Bin Zhuang +47

The paper introduces ai2-kit, a software toolkit that streamlines AI‑accelerated ab initio workflows for complex chemical systems by providing command‑line and Python interfaces fo…

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…

cond-mat.mtrl-sci2026

NMRPeak: a ready-to-use intelligent system for molecular structure elucidation enabled by synergistic cross-modal learning

Fanjie Xu, Jinyuan Hu, Jingxiang Zou +8

One-dimensional nuclear magnetic resonance (NMR) spectroscopy is essential for molecular structure elucidation in organic synthesis, drug discovery, natural product characterizatio…

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…

physics.chem-ph2025

Decoding the Competing Effects of Dynamic Solvation Structures on Nuclear Magnetic Resonance Chemical Shifts of Battery Electrolytes via Machine Learning

Qi You, Yan Sun, Feng Wang +2

Understanding the solvation structure of electrolytes is critical for optimizing the electrochemical performance of rechargeable batteries, as it directly influences properties suc…