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The First Intelligent Computing Seminar on Complex Interface Spectroscopy

Introduction

Complex interfaces play a pivotal role in the exchange of matter and energy across a wide range of chemical reactions. Understanding their microscopic structures is crucial for enhancing reaction efficiency and elucidating underlying mechanisms. In practice, a variety of advanced experimental spectroscopic techniques are employed, including vibrational spectroscopy, nuclear magnetic resonance (NMR), X-ray spectroscopy, and electron microscopy. Yet, interpreting these spectroscopic signals remains challenging and often requires theoretical support.

Computational spectroscopy, an interdisciplinary field that integrates theoretical calculations with experimental measurements, leverages methods such as quantum mechanics and molecular dynamics to simulate the spectral properties of materials. Spectra provide a bridge between microscopic structure and macroscopic properties: they are both theoretically computable and experimentally measurable, and closely linked to material structure. This makes them an ideal theoretical foundation for materials science in the era of intelligent research. With advanced computational approaches and artificial intelligence modeling, it is now possible to achieve precise, intelligent predictions of multimodal spectra for complex interface systems, and to rapidly decode the "spectrum–structure–property" relationships.

To advance this field, we invited leading experts from both domestic and international institutions to present computational and simulation methods for common spectroscopic techniques. The workshop covered a broad range of topics, including vibrational spectroscopy of complex interfaces (infrared, Raman, and sum-frequency generation), solid-state NMR, X-ray spectroscopy (including absorption and scattering), atomic force microscopy, and data-driven spectroscopic analysis methods. By integrating computational spectroscopy with experimental measurements, the workshop vividly demonstrated the powerful capability of these approaches in resolving structure–property relationships at complex interfaces.

The workshop attracted over 200 faculty and students from 50 universities and research institutions across the country. Eighty participants attended in person, while the online live broadcast drew more than 80,000 viewers.

Topics

Computational and Application of Infrared/Raman Vibrational Spectroscopy in Complex Systems

Marialore Sulpizi

Ruhr University Bochum

Computation and Application of Interface-Sensitive Sum Frequency Vibrational Spectroscopy in Complex Interfaces

Yuki Nagata

The Max Planck Institute for Polymer Research

Application of Solid-State NMR in Electrochemical Systems

Bingwen Hu

East China Normal University

First-Principles Calculation and Application of X-ray Absorption Spectroscopy in Complex Systems

Fujie Tang

Xiamen University

Theoretical Computational Study on Structure and Dynamics of Complex Interfaces Based on Atomic Force Microscopy

Duanyun Cao

Beijing Institute of Technology

Data-Driven Algorithm for X-ray Diffraction Spectrum Analysis

Lin Mo

DP Technology

AI-Powered Experimental Characterization Innovation - Exploring the Application of Deep Learning in Material Electron Microscopy Characterization and Analysis

Yanhui Hong

DP Technology

Application of AI Algorithms in Mass Spectrometry Data Analysis

Weijie Zhang

DP Technology

Intelligent Characterization Exploration and Application of Electrochemical Impedance Spectroscopy Analysis

Jiawei Miao

DP Technology

Reports