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13

2025-06

计算与应用讨论班——A threshold dislocation dynamics method

报告人：秦晓雪（上海大学）时间：2025年6月17日，13:30-14:40地点：海纳苑2幢1220摘要：We propose an efficient threshold dynamics method for dislocation dynamics in a slip plane. We show that this proposed threshold dislocation dynamics method is able to give two correct leading orders in dislocation velocity, including both the O(logε) local curvature force and the O(1) nonlocal force due to the lon...

26

2025-05

计算与应用讨论班——Mathematical AI for Molecular Sciences

报告人：夏克林（Nanyang Technological University）时间：2025年6月16日，10:00-11:00地点：海纳苑2幢203摘要：Artificial intelligence (AI) based Molecular Sciences have begun to gain momentum due to the great advancement in experimental data, computational power and learning models. However, a major issue that remains for all these AI-based learning models is the efficient molecular representations an...

23

2025-05

计算与应用讨论班——Low-degree finite element methods for transmission eigenvalue problems

报告人：张硕(中科院数学与系统科学研究院)时间：2025年5月23日，14:00-16:00地点：海纳苑2幢203室摘要：The transmission eigenvalue problem is applied in invisibility cloaking, seismic exploration, photonic crystals and meta-surfaces. As a fourth order nonlinear eigenvalue problem with variable coefficient, conforming finite element discretization requires high-degree polynomials. In this talk, we utili...

07

2025-05

计算与应用讨论班——A stabilized nonconforming finite element method for the surface biharmonic problem

报告人：吴朔男（北京大学）时间：2025年5月7日，14:00-16:00地点：海纳苑2幢203室摘要：This talk presents a novel stabilized nonconforming finite element method for solving the surface biharmonic problem. The method extends the New-Zienkiewicz-type (NZT) element to polyhedral (approximated) surfaces by employing the Piola transform to define the connection of vertex gradients between adjacent elements...

16

2025-04

计算与应用讨论班——Topology-enhanced machine learning for consonant recognition

报告人：朱一飞（南方科技大学）时间：2025年4月16日，15:30-16:30地点：海纳苑2幢203室摘要：In artificial-intelligence-aided signal processing, existing deep learning models often exhibit a black-box structure. The integration of topological methods serves the dual purpose of extracting structural information from time-dependent data as well as making models more interpretable. In this tal...

15

2025-04

量子计算讨论班——Demonstrating 88Sr+ Ion-Photon Entanglement at Near-Telecom Wavelengths

报告人：谢远衡（杜克大学）时间：2025年4月15日，19:00-21:00地点：海纳2幢105室摘要：The strontium ion is a promising candidate for medium-distance quantum networking due to its atomic transition at 1092 nm. This transition could align well with pre-existing fiber optic infrastructure, depending on the specific communication mode and fiber loss characteristics. Thus, lossy photon conversion processes...

17

2025-03

计算与应用讨论班——Reduced over collocation based on residual hyper reduction for steady state and time-dependent nonlinear equations

报告人：纪丽洁，上海大学时间：2025年3月31日，10:30-12:00地点：海纳苑2幢203室摘要：The need for multiple interactive, real-time simulations using different parameter values has driven the design of fast numerical algorithms with certifiable accuracies. The reduced basis method (RBM) presents itself as such an option. RBM features a mathematically rigorous error estimator which drives the constructi...

04

2025-03

计算与应用讨论班—— 弹性力学问题混合有限元方法及其北达飞易软件

04

2025-03

计算与应用讨论班——Evolution of Discriminator and Generator Gradients in GAN Training: From Fitting to Collapse

报告人：高卫国（复旦大学）时间：2025年3月14日，14:45-15:45地点：海纳苑2幢210摘要：Generative Adversarial Networks (GANs) are powerful generative models but often suffer from mode mixture and mode collapse. We propose a perspective that views GAN training as a two-phase progression from fitting to collapse, where mode mixture and mode collapse are treated as inter-connected. Inspired by the pa...

03

2025-03

计算与应用讨论班——A Model Reduction Method Based on Variable Separation

报告人：李秋齐（湖南大学）时间：2025年3月7日14:00-16:00地点：海纳苑2幢205室摘要：This report presents a novel Variable-Separation (VS) method for model reduction, which simplifies complex systems by effectively decoupling variables and reducing dimensionality. The method is extended to stochastic partial differential equations (SPDEs) through the use of tensor product structures, offerin...

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