September 2024
Automated Neutron Resonance Detection and Identification Using ML and HPC
PI: Dr. Vladimir Sobes, Department of Nuclear Engineering
Facilitator: Od Odbadrakh
High Performance Computation and Molecular Simulation to Understand Functionality of Food Proteins as Antifreezing Agents
PI: Dr. Tong Wang, UTIA Food Science
Facilitator: Micholas Smith
Machine Learning Models to Explore the Coverage-Dependent Adsorption of Atomic Carbon and Oxygen on Metallic Surfaces
PI: Dr. Sharani Roy, Department of Chemistry
Facilitator: Od Odbadrakh
The Parallel Scheduling Vehicle Routing Problem for Last-Mile Package Delivery
PI: Dr. Macella Kaplan, Center for Transportation Research
Facilitator: Reed Tucker and Scott Emert
February 2024
Advancing Research Capabilities via new AI and ML Methodologies to Identify and Treat Misclassification of Youth Firearm Mortality
PI: Dr. Lisa Lindley, College of Nursing
Facilitator: Reed Tucker
High-Performance Computing for Data-Driven Coupled-Cluster
PI: Dr. Konstantinos Vogiatzis, Department of Chemistry
Facilitator: Od Odbadrakh
Developing ML/AI-based Tools to Analyze the Multi-dimensional Spectroscopic Data of Scanning Tunneling Microscopy
PI: Dr. Wonhee Ko and Ruixing Zhang, Department of Physics & Astronomy and Dr. Bing Yao, Department of Industrial and Systems Engineering
Facilitator: Od Odbadrakh
Quantum Monte Carlo Optimization via High Performance I/O with the Hierarchical Data Format
PI: Dr. Adrian Del Maestro, Department of Physics & Astronomy
Facilitator: Reed Tucker
August 2023
The Absorption of Metropolitan Immigrants: Techniques for Analyzing Data Clustering across Time and Place
PI: Dr. Stephanie Bohon, Department of Sociology
Facilitator: Reed Tucker
Image Credit: “Cityscape Skyline” by Verne Ho/ CC0 1.0Using Deep Neural Networks to Predict the Adsorption Energy of Atomic Oxygen on Silver Surfaces
PI: Dr. Sharani Roy, Department of Chemistry
Facilitator: Od Odbadrakh
Image Credit: “Atomic Oxygen Adsorbed on a Silver (111) Surface” created using VMD.
