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SUMMARY:Lattice QCD: From Precision Tests to New‑Physics Searches
DTSTART;VALUE=DATE-TIME:20261011T040000Z
DTEND;VALUE=DATE-TIME:20261011T043000Z
DTSTAMP;VALUE=DATE-TIME:20261005T035121Z
UID:indico-contribution-646-2863@indico.itp.ac.cn
DESCRIPTION:Speakers: 雨 孟 (Zhengzhou University)\nLattice QCD has made
  key breakthroughs in precision calculations for charmonium radiative deca
 ys and charm‑meson semileptonic decays in recent years. This talk will f
 irst review these developments. Apart from precision tests\, searching for
  possible dark‑matter candidates with high‑precision experimental data
  constitutes another frontier of modern physics. We will introduce recent 
 lattice advances in axion‑like‑particle studies and neutrino‑backgro
 und calculations\, and outlook its growing significance for dark‑matter 
 studies in the future.\n\nhttps://indico.itp.ac.cn/event/437/contributions
 /2863/
LOCATION:会议楼2 CXII401
URL:https://indico.itp.ac.cn/event/437/contributions/2863/
END:VEVENT
BEGIN:VEVENT
SUMMARY:物理信息神经网络驱动的部分子碎裂函数提取
DTSTART;VALUE=DATE-TIME:20261011T033000Z
DTEND;VALUE=DATE-TIME:20261011T040000Z
DTSTAMP;VALUE=DATE-TIME:20261005T035121Z
UID:indico-contribution-646-2890@indico.itp.ac.cn
DESCRIPTION:Speakers: 龙刚 庞 ()\nhttps://indico.itp.ac.cn/event/437/co
 ntributions/2890/
LOCATION:会议楼2 CXII401
URL:https://indico.itp.ac.cn/event/437/contributions/2890/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Generative AI meets Physics
DTSTART;VALUE=DATE-TIME:20261011T030000Z
DTEND;VALUE=DATE-TIME:20261011T033000Z
DTSTAMP;VALUE=DATE-TIME:20261005T035121Z
UID:indico-contribution-646-2889@indico.itp.ac.cn
DESCRIPTION:Speakers: 凯 周 ()\nhttps://indico.itp.ac.cn/event/437/contr
 ibutions/2889/
LOCATION:会议楼2 CXII401
URL:https://indico.itp.ac.cn/event/437/contributions/2889/
END:VEVENT
BEGIN:VEVENT
SUMMARY:Progress on LQCDMaster
DTSTART;VALUE=DATE-TIME:20261011T023000Z
DTEND;VALUE=DATE-TIME:20261011T030000Z
DTSTAMP;VALUE=DATE-TIME:20261005T035121Z
UID:indico-contribution-646-2839@indico.itp.ac.cn
DESCRIPTION:Speakers: 伟 王 (Shanghai Jiao Tong University)\n过去数
 月间，人工智能与智能体深刻重塑了理论物理及相关理
 论学科的科研范式。本报告首先梳理人工智能在理论物
 理日常研究中的典型应用场景，涵盖基于对话交互开展
 的启发式物理探索。在此基础上，针对格点规范场论研
 究中的核心难点与现存瓶颈，介绍我们研发的全流程人
 工智能科研框架(IdeaMinerLQCD+LQCDMaster)，展示其在文献调研
 、科研思路挖掘、数学推导计算与结果核验等环节的赋
 能效果，实现关键科研流程的自动化与效能提升。报告
 将以重夸克弱衰变中的难题为例，具体探讨人工智能可
 能带来的机遇。最后，结合量子场论与人工智能的交叉
 融合趋势，总结研究启示并对未来发展方向进行一些展
 望。\n\nhttps://indico.itp.ac.cn/event/437/contributions/2839/
LOCATION:会议楼2 CXII401
URL:https://indico.itp.ac.cn/event/437/contributions/2839/
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