ALPhA research at Davidson College

We focus on applying cutting-edge machine learning methods to fundamental nuclear physics applications.

Check out our published code here.

ALPhA Research Opportunities -- Spring 2022

Independent Research projects

These projects can be crafted as a CSC independent study course or a PHY independent research course. Contact Dr. Kuchera or Dr. Ramanujan before the semester starts to learn more!

• Machine Learning for Jefferson Lab
• Description: Use deep neural networks to describe the internal structure of a nucleon (structure functions) from experimental and theoretical data
• Machine Learning for the Facility for Rare Isotope Beams
• Description: Use machine learning and reinforcement learning architectures to study the quantum structure of a nucleus and support experimental operations at the accelerator facility.