Pu Ren
Lawrence Berkeley National Lab
Postdoc Fellow
Expertise: Physics-informed machine learning, dynamical systems, seismic wave modeling and inversion.
About Me
Publications
Lacour, M., Ren, P., Nakata, R., Nakata, N., & Mahoney, M. M. (2025, 09). Modeling Ground Motion Using Conditional Generative Model. Poster Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14845
Nakata, R., Nakata, N., Ren, P., Bi, Z., Lacour, M., & Mahoney, M. M. (2025, 09). Simulating Seismic Wavefields using Generative Artificial Intelligence. Oral Presentation at 2025 SCEC Annual Meeting. SCEC Contribution 14399
Bi, Z., Nakata, N., Nakata, R., Ren, P., Wu, X., & Mahoney, M. (2025). Advancing data-driven broadband seismic wavefield simulation with multi-conditional diffusion model. IEEE Transactions on Geoscience and Remote Sensing, (submitted). SCEC Contribution 14200
Ren, P., Nakata, R., Lacour, M., Naiman, I., Nakata, N., Song, J., Bi, Z., Malik, O., Morozov, D., Azencot, O., Erichson, N., & Mahoney, M. M. (2024). Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. Nature Communications, (under review). SCEC Contribution 14139
Ren, P. (2024, 09). Learning Physics for Unveiling Hidden Earthquake Ground Motions via Conditional Generative Modeling. Poster Presentation at 2024 SCEC Annual Meeting. SCEC Contribution 14040
Last updated Aug 25, 2025.
