Name: Andrew S. Messecar
Type: User
Company: Western Michigan University
Bio: Ph.D. candidate at Western Michigan University working in materials informatics, applied machine learning, and computational science.
Location: Kalamazoo, MI
Blog: https://orcid.org/0000-0002-1515-6206
Andrew S. Messecar's Projects
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.
Lua script for the batch fitting of peaks in spectral data via the Fityk open-source software tool.
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.
Code and training data for the project published as "Machine learning–based investigation of optimal synthesis parameters for epitaxially–grown III–nitride semiconductors".
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.