报告人简介： Lanqing Yuan is an experimental particle physicist focused on dark matter direct detection. He is an incoming postdoctoral researcher at Washington University in St. Louis and earned his Ph.D. from the University of Chicago (2025). During his Ph.D., he led detector response analysis in the XENONnT dark matter experiment, resulting in four Physical Review Letters publications highlight...

报告人简介： 王竹君，专注于真实气氛下电子显微原位技术和仪器研发，推动了表界面工况下成像技术的革新以及在科技考古领域的技术革新。主要创新成果有：1.自研热发射电子过滤器，首创高温环境下表面超高敏感成像，区分表面单原子层动态演化行为；2.提出电子束扫描成像新方法，国际首次在环境气氛下实空间观测到单层气体分子在催化剂表面的非线性振荡行为；3.以非平衡态观测发展多尺度追踪技术，推动弥合表界面探测领域的材料、尺...

报告人简介： 马晓光本科、硕士毕业于中山大学，博士毕业于香港科技大学。博士后任宾夕法尼亚大学Solvay-LRSM Fellow。目前担任南方科技大学复杂流动及软物质研究中心与物理系助理教授、博士生导师。入选广东海外高层次人才、深圳海外高层次人才。研究获自然科学基金面上项目、科技部重点研发项目、广东珠江人才、深圳稳定支持资助。在Science、PRL、Nat Phys.、PNAS等期刊发表论文18篇，是PRL、JFM、PRE等期刊审稿人。 讲座摘要...

Inflammation or nerve injury at periphery can cause chronic pain. The spinal cord-projecting neurons in the rostral ventromedial medulla (RVMSC neurons) facilitate pain chronification1-3. However, the neuronal pathway that transmitting information about peripheral injury to these descending RVMSC neurons is unknown. Here we report a closed-loop circuit extending from spinal cord to ventral postero...

当今雅尔塔体系进一步裂解，稳定的新国际体系尚未成型，国际格局向多极化进一步发展，全球安全存在新的变量，也给中国推行新时代的外交关系带来巨大的挑战和机遇。 本次讲座主题接2024年12月讲座，仍以小型研讨会形式举办，将讨论雅尔塔体系裂解过程，对各自地区安全的潜在影响，以及中国外交面临的挑战和机遇。 你想一同深入探讨这些地区安全议题吗？来参加我们的研讨会吧！本次研讨会将以国际体系转变这一主题作为框架，与会成员...

Zygotes and early blastomeres possess totipotency, which represents the highest level of developmental potency. While capturing totipotent stem cells in vitro with functionalities comparable to those of totipotent embryos in vivo remains challenging, our lab achieved a breakthrough in 2021 by stably culturing mouse totipotent blastomere-like cells (mTBLC) using splicing inhibition (Shen et al., 20...

Statistical learning has been a foundational framework for understanding machine learning and deep learning models, offering key insights into generalization and optimization. However, the pretraining–alignment paradigm of Large Language Models (LLMs) introduces new challenges. Specifically, (a) their error rates do not fit conventional parametric or nonparametric regimes and exhibit dataset-size ...

报告人简介： Dr. Yuqing Qiu is an Assistant Professor at the University of Tennessee, Knoxville. Her research focuses on employing equilibrium and non-equilibrium statistical mechanics, computational simulations, and machine learning models to explore the emergent behavior of complex systems in soft matter and materials. She earned her undergraduate degree in Chemistry from Zhejiang University in ...