Materials Fingerprinting Classification

1 code implementation • 14 Jan 2021 • Adam Spannaus, Kody J. H. Law, Piotr Luszczek, Farzana Nasrin, Cassie Putman Micucci, Peter K. Liaw, Louis J. Santodonato, David J. Keffer, Vasileios Maroulas

Significant progress in many classes of materials could be made with the availability of experimentally-derived large datasets composed of atomic identities and three-dimensional coordinates.

Classification General Classification +1

Bayesian Topological Learning for Classifying the Structure of Biological Networks

no code implementations • 24 Sep 2020 • Vasileios Maroulas, Cassie Putman Micucci, Farzana Nasrin

In this work, we analyze and classify these filament networks by transforming them into persistence diagrams whose variability is quantified via a Bayesian framework on the space of persistence diagrams.

A Stable Cardinality Distance for Topological Classification

no code implementations • 4 Dec 2018 • Vasileios Maroulas, Cassie Putman Micucci, Adam Spannaus

This work incorporates topological features via persistence diagrams to classify point cloud data arising from materials science.

Classification General Classification