Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
be done via computer simulations, including Monte Carlo and molecular dynamics, combined with the use of statistical mechanics to predict e.g. phase transitions, nucleation rates, etc. The work will be
-
well as decentralized machine learning algorithms for large-scale clouds with dynamique parameters. -- Conception of machine learning algorithmes for resource allocation -- Numerical experiments -- Drafting research
-
environment featuring a wide range of research activities, including QM/MM simulations, ionic liquid simulations, and excited-state characterization. The aim of this PhD thesis is the atomistic modeling
-
interventions, creating environmentally sustainable devices, and developing simulators to reduce reliance on in vivo testing. The training network is interdisciplinary, integrating various fields such as
-
simulations with the Elmer/Ice model, actively participate in the analysis of multi-model results, and strengthen the visibility of the French contribution within the international effort. 3. Explore extreme