个人简介：吕帅君，博士，讲师，2025年博士毕业于合肥工业大学数学专业获理学博士学位。主要研究方向为基于深度学习的渗流方程求解。目前已发表SCI论文四篇。

  近期研究成果：

[1] Daolun Li, Shuaijun Lv*, Wenshu Zha, Luhang Shen, Yan Xing. A nonlinear solver based on residual network for seepage equation. Engineering Applications of Artificial Intelligence, 126: 106850, 2023.

[2] Shuaijun Lv, Daolun Li*, Wenshu Zha*, Luhang Shen, Yan Xing. Solving seepage equation using physics-informed residual network without labeled data. Computer Methods in Applied Mechanics and Engineering, 418: 116563, 2024.

[3] Shuaijun Lv, Daolun Li*, Wenshu Zha*, Yan Xing. Physics-informed radial basis function neural network for efficiently modeling oil-water two-phase Darcy flow. Physics of Fluids, 37: 013605, 2025.

[4] Shuaijun Lv, Daolun Li*, Wenshu Zha*, Yan Xing. Solving systems of nonlinear equations combining radial basis function neural network and newton's method. Numerical Algorithms, 2025.