Nuno F. Loureiro
Herman Feshbach (1942) Professor of Physics
Director, Plasma Science and Fusion Center
Research Interests
- Theory and computational simulation of nonlinear plasma dynamics
Research Interests
- Theory and computational simulation of nonlinear plasma dynamics
Nuno F. Gomes Loureiro is Director of MIT’s Plasma Science and Fusion Center, Professor of Nuclear Science and Engineering and the Herman Feshbach (1942) Professor of Physics at MIT. He majored in Physics at Instituto Superior Técnico in Lisbon (Portugal) in 2000 and obtained a Ph.D. in Physics at Imperial College London (UK) in 2005. He did post-doctoral work at the Princeton Plasma Physics Laboratory between 2005-07, and at the UKAEA Culham Centre for Fusion Energy between 2007-09. Prior to joining MIT in 2016 Loureiro was a researcher at the Institute for Plasmas and Nuclear Fusion at IST Lisbon.
Loureiro has an active interest in several fundamental aspects of magnetized plasma dynamics, such as magnetic reconnection, magnetic field generation and amplification, confinement and transport in fusion plasmas, and turbulence in strongly magnetized, weakly collisional plasmas.
- American Physical Society (APS) Thomas H. Stix Award for Outstanding Early Career Contributions to Plasma Physics Research (2015)
- National Science Foundation Career Award (2017)
- PAI Outstanding Professor Award, Department of Nuclear Science and Engineering (2017, 2020)
- Ruth and Joel Spira Award for Excellence in Teaching, MIT School of Engineering (2022)
- Stanislaw Ulam Distinguished Scholar, Center for Nonlinear Studies, Los Alamos National Laboratory (2023)
- Presidential Early Career Award for Scientists and Engineers (PECASE) (2025)
Theory and computational simulation of nonlinear plasma dynamics
Prof. Loureiro’s group uses a combination of analytical theory and state-of-the art simulations to investigate several topics in nonlinear plasma dynamics, particularly magnetic reconnection, turbulence and instabilities. He also has an active interest in novel computational techniques for plasma simulation, including machine learning and quantum computing.
22.612, Intro to Plasma Physics II
Past Teaching
22.611, Intro to Plasma Physics I
22.615, MHD