The committor functions are central to investigating rare but important events in molecular simulations. It is known that computing the committor function suffers from the curse of dimensionality. Recently, using neural networks to estimate the committor function has gained attention due to its potential for high-dimensional problems. Training neural networks to approximate the committor function ...

The TGF-β superfamily plays crucial roles in normal development and physiology. Precise control of TGF-β signaling strength and duration is essential, and dysregulation of this pathway is implicated in the pathogenesis of various human diseases, notably cancer. A hallmark of many cancers is the loss of the TGF-β antiproliferative response, allowing tumor cells to escape growth control. A key me...

报告人简介： 侯广进，中国科学院大连化学物理研究所首席研究员，博士生导师，国家杰出青年科学基金获得者。2007年于中国科学院武汉物理与数学研究所获得理学博士学位。2007至2011年先后在德国马普高分子研究所和美国特拉华大学从事博士后研究工作；2011年被美国特拉华大学聘为二级副研究员；2012年晋升为磁共振谱学研究员，独立开展研究工作。2017年全职回国加入中国科学院大连化学物理研究所催化基础实验室，聘为研究员，任固体...

报告人简介： Dr. Li is an expert in quantum many-body physics. He earned his Ph.D. from the University of Tennessee in 2018, where he developed a neural-network quantum Monte Carlo method that accelerates quantum simulations by at least an order of magnitude. From 2018 to 2020, Dr. Li was a postdoctoral researcher at the University of Michigan, working with Emanuel Gull on simulating spectroscopie...