AI on Quantum Magnetism

Poster Number

13A

Lead Author Affiliation

Physics and Applied Mathematics

Lead Author Status

Undergraduate - Senior

Second Author Affiliation

Physics

Second Author Status

Faculty Mentor

Research or Creativity Area

Natural Sciences

Abstract

This project presents machine learning models on Quantum Magnetism where the models are able to ascertain whether a given system is considered magnetic order or not. Using Python programs and MATLAB, we are able to produce and generate spin systems. These spin configurations hold data, that is if a component in a matrix is in spin 'up’ or 'down’. The AI we create in Python can look at a multitude of spin models and make predictions on whether that model is in magnetic order or not. The goal of the project is to have the model predict order and disorder in a system. The future goals would be to have the model create upscaled spin systems, similar to magnifying a picture.

Location

Don and Karen DeRosa University Center (DUC) Poster Hall

Start Date

27-4-2024 10:30 AM

End Date

27-4-2024 12:30 PM

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Apr 27th, 10:30 AM Apr 27th, 12:30 PM

AI on Quantum Magnetism

Don and Karen DeRosa University Center (DUC) Poster Hall

This project presents machine learning models on Quantum Magnetism where the models are able to ascertain whether a given system is considered magnetic order or not. Using Python programs and MATLAB, we are able to produce and generate spin systems. These spin configurations hold data, that is if a component in a matrix is in spin 'up’ or 'down’. The AI we create in Python can look at a multitude of spin models and make predictions on whether that model is in magnetic order or not. The goal of the project is to have the model predict order and disorder in a system. The future goals would be to have the model create upscaled spin systems, similar to magnifying a picture.