Submission Date
7-21-2023
Document Type
Paper
Department
Physics & Astronomy
Faculty Mentor
Ross B. Martin-Wells
Project Description
This file is a catalogue of the relevant quantum mechanical and computer programming topics that I learned during the summer which will be helping me to generate an artificial intelligence that will be able to perform computational chemical calculations at a much faster rate and comparable or better accuracy than current methods.
Recommended Citation
Dyer, Brock, "Enhanced Quantum Chemistry With Machine Learning" (2023). Physics and Astronomy Summer Fellows. 44.
https://digitalcommons.ursinus.edu/physics_astro_sum/44
Open Access
Available to all.
Included in
Computational Chemistry Commons, Numerical Analysis and Scientific Computing Commons, Physics Commons
Comments
Presented during the 25th Annual Summer Fellows Symposium, July 21, 2023 at Ursinus College.