Enhanced Quantum Chemistry With Machine Learning

Author

Brock Dyer, Ursinus CollegeFollow

Submission Date

7-21-2023

Document Type

Paper

Department

Physics & Astronomy

Faculty Mentor

Ross B. Martin-Wells

Comments

Presented during the 25th Annual Summer Fellows Symposium, July 21, 2023 at Ursinus College.

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