Optical imaging is unequivocally a most versatile and widely used visualization modality in the life sciences. Yet it has been significantly limited by photon scattering, which complicates the visualization of tissue beyond a few hundred microns. For the past few years, there has been an emergence of powerful new optoacoustic and fluorescence imaging methods that offer high resolution imaging beyo...

Physics-Informed neural networks have emerged as a powerful tool in scientific machine learning, providing efficient numerical solutions for broad classes of partial differential equations. However, conventional learning approaches often struggle to resolve problems involving singular behaviors, such as discontinuities in hyperbolic equations or singularities in Green’s functions. In this talk, l...

The Transformer has emerged as one of the most advanced neural network architectures, with wide applications in large language models (LLMs), AI for Science, and image/video process. Despite its success, its mathematical foundations remain largely open. This research presents our recent progress toward addressing this gap, structured in two parts. First, we introduce a new perspective based on Pet...

本次讲座由物质学院王依宵教授邀请美国西北大学客座教授Snyder Seth Willard作为主讲嘉宾开展，讲座将全面拆解论文发表的完整生命周期，为双语学者提供必要的实用技能，帮助他们在以英语为主导的科学界中脱颖而出。 讲座将通过逐步剖析同行评审流程、通用的 IMRAD (introduction, methods, results, and discussion) 论文结构以及演示文稿的策略性设计，来解读科学交流中那些"不言而喻"的规则。此外，讲座还将探讨关键的写作范式...

细胞焦亡是一种新型炎症性细胞死亡方式，由膜成孔活性的gasdermin（GSDM）家族成员响应胞外或胞内损伤信号而执行，其特征表现为细胞气球样形态变化、质膜破裂以及IL-1β、IL-18和高迁移率族蛋白B1等炎症介质的释放。细胞焦亡是宿主免疫防御、监视入侵病原体及异常癌细胞的关键效应机制，同时也参与炎症性疾病和自身免疫性疾病的发生与发展。调控GSDMs的成孔活性及细胞焦亡过程，有望催生新的治疗策略。我们的研究关注在病原体感染...