Discovery of Sustainable Refrigerants through Physics-Informed RL Fine-Tuning of Sequence Models

Adrien Goldszal, Diego Calanzone, Vincent Taboga, Pierre-Luc Bacon

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: Refrigerant Molecule Discovery, Climate Change, Physics-Informed, Reinforcement Learning, Large-Language-Models

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 115