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

Talks and seminars

Here are recent talks, seminars and conference presentations made by members of the lab. You’ll also find links to slides or video recordings where avaliable.

2025

Simulating the strong force with neural networks

Jack Biggins   slides

Faculty Student Summer Research Program, Skidmore College, USA

Hull-Strominger, involutivity and moment maps

Anthony Ashmore   video

Geometric partial differential equations from unified string theories, American Institute of Mathematics, Caltech, California

2024

Exactly marginal deformations and their supergravity duals

Anthony Ashmore   slides

Generalized Geometry Meets String Theory, University of Granada, Spain

Exactly marginal deformations and their supergravity duals

Anthony Ashmore

New Deformations of Quantum Field and Gravity Theories, MATRIX, Australia

Discrete lattice gauge theories via neural network quantum states

Anthony Ashmore   slides

Strings, Field and Deep Learning, Aspen Center for Physics, USA

2023

Physics in the age of AI: quantum physics to string theory

Anthony Ashmore

Departmental colloquium, Skidmore College, USA

Machine learning for geometry and string compactifications

Anthony Ashmore

String Theory Seminar, BIMSA, China

Machine learning for geometry and string compactifications

Anthony Ashmore

String Theory Seminar, ETH Zurich, Switzerland

Machine learning for geometry and string compactifications

Anthony Ashmore

Rencontres Théoriciennes, Joint Paris Theory Seminar

Machine Learning for String Compactifications

Anthony Ashmore

Theory Seminar, University of Wisconsin–Madison, USA