中国科学院数学与系统科学研究院刘歆研究员、北京大学张磊教授、上海交通大学应文俊教授、电子科技大学赵熙乐教授分别作了题为“Projected Gradient Descent Algorithm for Ab Initio Crystal Structure Relaxation Under a Fixed Unit Cell Volume”“Partial Evolutionary Tensor Neural Networks for Solving Time-dependent Partial Differential Equations” “A Fast Cartesian Grid-based Integral Equation Method for Unbounded Interface Problems with Non-homogeneous Source Terms”“Continuous Modeling Perspective for Imaging Science”的学术报告,聚焦当下应用数学前沿问题,分享最新科研进展。现场的专家学者踊跃提问,交流互动充分,研讨氛围热烈。