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Andrew S. Messecar's Projects

anns_for_epitaxy_data icon anns_for_epitaxy_data

Project focused on optimizing artificial neural network (ANN) algorithms to generalize from experimental data describing the epitaxial synthesis of thin film semiconductor crystals. Incentivized by a project assignment in a CS 5300 - Artificial Neural Systems course taken at Western Michigan University.

ising_model_simple_2d icon ising_model_simple_2d

Simple two-dimensional Ising model numerical simulation written from scratch using Python 3 and NumPy. Simulation consists of a 20 x 20 matrix of 2-spin dipoles with no applied external field. Completed as a final class project in the course PHYS 6200 - Computational Physics which was taken at Western Michigan University in the Fall 2020 semester.

pambe_nitrides_random_forests icon pambe_nitrides_random_forests

Code and training data for the project published as "Machine learning–based investigation of optimal synthesis parameters for epitaxially–grown III–nitride semiconductors".

pennylane_bell_states_circuit icon pennylane_bell_states_circuit

A simple Python 3 script for introducing new users to quantum programming in the PennyLane environment. This code was developed as an introductory exercise during the "2023-11-28 Using PennyLane on Pawsey’s Setonix supercomputer" webinar tutorial.

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