Treffer: Enhanced Quantum Chemistry With Machine Learning

Title:
Enhanced Quantum Chemistry With Machine Learning
Authors:
Dyer, Brock
Source:
Physics and Astronomy Summer Fellows
Publisher Information:
Digital Commons @ Ursinus College
Publication Year:
2023
Collection:
DigitalCommons@Ursinus College
Subject Terms:
quantum chemistry, quantum spin states, ammonia masers, Python programming, time evolution, magnetic resonance, Artificial Intelligence, Computational Chemistry, Numerical Analysis and Scientific Computing, Physical Sciences and Mathematics, Physics
Document Type:
Fachzeitschrift text
File Description:
application/pdf
Language:
unknown
Relation:
https://digitalcommons.ursinus.edu/physics_astro_sum/44; https://digitalcommons.ursinus.edu/context/physics_astro_sum/article/1064/viewcontent/BrockDyerSummerFellowsSubmission.pdf
Availability:
https://digitalcommons.ursinus.edu/physics_astro_sum/44
https://digitalcommons.ursinus.edu/context/physics_astro_sum/article/1064/viewcontent/BrockDyerSummerFellowsSubmission.pdf
Accession Number:
edsbas.103557
Database:
BASE

Weitere Informationen

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.