Quantum Computing and Machine Learning Workshop 2024

机器学习驱动的同步辐射实验“智慧终端”应用研究

Not scheduled

20m

Talk Machine Learning

Speaker

UNKNOWN 赵丽娜 (高能所)

Description

我国同步辐射实验装置硬设施建设的水平、数量均跻身世界前列，但分析破解海量、多模态实验数据的软设施建设却发展严重滞后，直接阻碍了重大科学突破的发现与产出。报告人基于机器学习方法驱动，结合多尺度模拟、数字孪生等技术，构建了先进同步辐射实验“智慧终端”多维解析计算系统，实现多种重要材料的结构及性能的精准解析，推动了包括新型纳米药物、功能新材料性能提升的应用研究。
相关代表论文：
1. Molybdenum derived from nanomaterials incorporates into molybdenum enzymes and affects their activities in vivo, Nature Nanotechnology, 16, 708 (2021)
2. Water-Regulated Lead Halide Perovskites Precursor Solution: Perovskite Structure Making and Breaking, The Journal of Physical Chemistry Letters, 14, 4876 (2023)
3. Fast extraction of three-dimensional nanofiber orientation from WAXD patterns using machine learning, IUCrJ, 10, 297 (2023)
4. Synchrotron radiation data-driven artificial intelligence approaches in materials discovery, Artificial Intelligence Chemistry, 2, 100045 (2024)
5. Xiwu: A Basis Flexible and Learnable LLM for High Energy Physics, arXiv preprint arXiv:2404.08001 (2024)