PI: Roberto Gioiosa, Physical and Computational Sciences Directorate 

AutoGenCompChem targets increased productivity for developing new computational chemistry models by leveraging generative AI (coding) models to generate TriAdapter Multi-Modal Learning, or TAMM's code starting from a mathematical (LaTeX) description of the tensor contraction formulation of the computational chemistry model.