Linearized Learning with Multiscale Deep Neural Networks for Stationary Navier-Stokes Equations with Oscillatory Solutions

by Lizuo Liu, Bo Wang & Wei Cai, EAJAM 13 (2023), pp. 740-758.

Time Complexity Analysis of Quantum Difference Methods for Multiscale Transport Equations

by Xiaoyang He, Shi Jin & Yue Yu, EAJAM 13 (2023), pp. 717-739.

Approximation Analysis of Convolutional Neural Networks

by Chenglong Bao, Qianxiao Li, Zuowei Shen, Cheng Tai, Lei Wu & Xueshuang Xiang, EAJAM 13 (2023), pp. 524-549.

Stability of Spectral Collocation Schemes with Explicit-Implicit-Null Time-Marching for Convection-Diffusion and Convection-Dispersion Equations

by Meiqi Tan, Juan Cheng & Chi-Wang Shu, EAJAM 13 (2023), pp. 464-498.

The Random Feature Method for Time-Dependent Problems

by Jing-Run Chen, Weinan E & Yi-Xin Luo, EAJAM 13 (2023), pp. 435-463.

A Linearized Structure-Preserving Numerical Scheme for a Gradient Flow Model of the Kohn-Sham Density Functional Theory

by Guanghui Hu, Ting Wang & Jie Zhou, EAJAM 13 (2023), pp. 299-319.

A Deep Learning Method for Elliptic Hemivariational Inequalities

by Jianguo Huang, Chunmei Wang & Haoqin Wang, EAJAM 12 (2022), pp. 487-502.

A High Order Well-Balanced Finite Volume WENO Scheme for a Blood Flow Model in Arteries

by Zhonghua Yao, Gang Li & Jinmei Gao, EAJAM 7 (2017), pp. 852-866.

Pinning Effect on Current-Induced Domain Wall Motion in Nanostrip

by Lei Yang, EAJAM 7 (2017), pp. 837-851.