Andrew S. Messecar's repositories
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.
Batch_Peak_Fitting_with_Fityk
Lua script for the batch fitting of peaks in spectral data via the Fityk open-source software tool.
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
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
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.