Domaines
Statistical physics
Soft matter
Physics of liquids
Physics of living systems
Non-equilibrium Statistical Physics
Kinetic theory ; Diffusion ; Long-range interacting systems
Type of internship
Théorique, numérique Description
Building on our recent breakthroughs in computational prebiotic chemistry, achieved thanks to state-of-the-art ab initio free-energy methods, we are strengthening our approaches through the in-house ongoing development of quantum accuracy-level machine learning potentials, capable to address challenges in the study of transformation in more and more complex and realistic environments.
Contact
Marco Saitta