Welcome to my homepage!
I am currently a research scientist at New Mexico Consortium. I am primarily interested in artificial intelligence, large language models, deep learning, machine learning, data science, statistical modeling, and plasma science & technologies, with applications in both industry (forecasting, process optimization, insight extraction, risk management, search, recommendations, etc.) and frontier science (compact particle accelerators & light sources, space science, fusion energy, etc.).
Check out my recent projects and research related to plasma science. Stay tuned for more updates on my AI projects. Feel free to get in touch!
Selected publications
- F. Li, X. Fu, and S. Dorfman, Effects of wave damping and finite perpendicular scale on three-dimensional Alfven wave parametric decay in low-beta plasmas, Physics of Plasmas 31, 082113 (2024).
- F. Li, Z. Sheng, Y. Liu, J. Meyer-ter-Vehn, W. B. Mori, W. Lu, and J. Zhang, Dense attosecond electron sheets from laser wakefields using an up-ramp density transition, Physical Review Letters 110, 135002 (2013).
- P. Singh#, F. Li# (equal contribution), C. Huang, A. Moreau, R. Hollinger, A. Junghans, A. Favalli, C. Calvi, S. Wang, Y. Wang, H. Song, J. Rocca, R. Reinovsky, and S. Palaniyappan, Vacuum laser acceleration of super-ponderomotive electrons using relativistic transparency injection, Nature Communications 13, 54 (2022).
- F. Li, P. K. Singh, S. Palaniyappan, and C. Huang, Particle resonances and trapping of direct laser acceleration in a laser-plasma channel, Physical Review Accelerators and Beams 24, 041301 (2021).