Skidmore Computational Physics & ML Lab A computational physics and machine-learning research group at Skidmore College

Welcome to the Computational Physics and Machine Learning research group in the Physics Department at Skidmore College.

The research directions of the group include developing and applying numerical and machine-learning techniques to problems in quantum mechanics, quantum field theory and string theory.

If you’re interested in working with us, get in touch!

2025

July

Jack Biggins presented his research, Simulating the strong force with neural networks, at the Skidmore Faculty Student Summer Research Program.

Our paper Holomorphic supergravity in ten dimensions and anomaly cancellation has been released on the arXiv as a preprint.

2024

October

Our paper Deep learning lattice gauge theories has been published in Physical Review B and selected as an “Editors’ Suggestion”.