温鹏飞
实验师
pengfeiwen@ynu.edu.cn
研究领域
人工智能、计算电磁学、无线通信
研究概况
长期从事人工智能、计算电磁学及无线通信领域研究，重点开展人工智能驱动的电磁数值计算、智能建模与高效仿真，探索人工智能与科学计算的交叉融合，为复杂电磁环境分析、智能通信和数字孪生等提供高效计算方法。
学术成果
[1] Wen P, Kong W, Hu N, et al. Accelerated DGTD Method Employing Hybrid Time Integration Scheme of Runge-Kutta Time Stepping and Neural Network Prediction[J]. IEEE Transactions on Antennas and Propagation, 2025, 73(6): 3870-3881.
[2] Wen P, Kong W, Hu N, et al. Efficient analysis of radio wave propagation for complex network environments using improved DGTD method[J]. IEEE Transactions on Antennas and Propagation, 2024, 72(7): 5923-5934.
[3] Wen P, Ren Q, Chen J, et al. Improved memory-efficient subdomain level discontinuous Galerkin time domain method for periodic/quasi-periodic structures[J]. IEEE Transactions on Antennas and Propagation, 2020, 68(11): 7471-7479.
[4] Wen P, Wang X. Efficient electromagnetic analysis of multi‐layer and multi‐scale periodic/quasi‐periodic structures[J]. IET Microwaves, Antennas & Propagation, 2023, 17(1): 1-12.
[5] Wen P, Kong W, Hu N, et al. Real-Time Modeling and Simulation of Communication Environments Based on The Improved DGTD Method[C] //2024 International Conference on Cyberspace Simulation and Evaluation (CSE). Singapore: Springer Nature Singapore, 2024: 235-247.
[6] Wen P, Kong W, Hu N, et al. Memory Efficient DGTD Method Based on Radial Basis Function Neural Network Prediction Scheme[C]//2024 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2024: 1-2.
[7] Wen P, Ren Q, Chen A, et al. Electromagnetic Simulation of Periodic Structures Using Memory Efficient DGTD Method[C]//2020 IEEE International Conference on Computational Electromagnetics (ICCEM). IEEE, 2020: 153-154.
[8] Wen P, Li C, et al. DGTD method for periodic and quasiperiodic structures[M]//Advances in Time Domain Computational Electromagnetic Methods. 2023: 239-273.