Talks

Here are talks I’ve given recently (since 2023) and slides when possible.

2025

Elyssa Hofgard, Dmitriy Morozov, Musa A Hussien, Temuujin Bayaraa, Sinead M Griffin, Tess E Smidt. “Applications of Topological Data Analysis (TDA) for Studying Structural Motifs in Amorphous Bi₂Se₃.” APS Global Physics Summit 2025, abstract.

“Using E(3)-Equivariant Neural Networks (ENNs) to Uncover Symmetry-Implied Missing Information.” Computational Research in Boston and Beyond (CRIBB), slides.

2024

“Applications of Euclidean Neural Networks for the Design and Understanding of Physical Systems.” Plenary talk at The 5th International Conference on Data-Driven Plasma Science, Berkeley, CA. Given on behalf of Tess Smidt.

“From Data to Discovery: Machine Learning’s Insight into the World of Topological Amorphous Materials.” Molecular Foundry Fireside Chat, Youtube.

Elyssa Hofgard, Aria Tehrani, Tess Smidt. “Learning Crystal Structure from Powder X-Ray Diffraction Data Using Invariants.” APS March Meeting 2024, abstract.

2023

Elyssa Hofgard, Rui Wang, Tess Smidt. “Using Symmetry-Equivariant Neural Networks (ENNs) to Uncover Symmetry-Implied Missing Information.” 2023 Materials Research Society Fall Meeting, abstract.

Elyssa Hofgard et al. “Exploration of Machine Learning (ML) Methods for Determining Unit Cell Parameters from Powder XRD Patterns.” 2023 Materials Research Society Fall Meeting, abstract.