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Meeting Point of Scientific Computing and Machine Learning

Organizer(s):
Name:	Affiliation:	Country:
Pingwen Zhang	Wuhan University and Peking University	Peoples Rep of China
Zhijian Yang	Wuhan University	Peoples Rep of China
Lei Zhang	Peking University	Peoples Rep of China

Introduction:

In the rapidly evolving landscape of applied and computational mathematics, the integration of scientific computing and machine learning has emerged as a powerful synergy. This minisymposium provides a platform for researchers and practitioners to share insights, methodologies, and breakthroughs that bridge the gap between traditional scientific computing techniques and the transformative capabilities of machine learning.

All Abstracts

List of abstracts and speakers
Name	Affiliation	Title
Daniel Zhengyu Huang	Peking University	Neural Operator for Multidisciplinary Engineering Design
Liwei Xu	University of Electronic Science and Technology of China	Deep learning solvers for a couple of fluid dynamic equations
Jin Zhao	Capital Normal University	pETNNs: Partial Evolutionary Tensor Neural Networks for Solving Time-dependent Partial Differential Equations
Weying Zheng	Academy of Mathematics and Systems Science, Chinese Academy of Sciences	On finite element approximation of the Schroedinger-Poisson model
Xiangcheng Zheng	Shandong University	Numerical analysis for manifold-preserving and data-driven algorithms of high-index saddle dynamics