232 citations · 364 across the 22 of their papers we have counts for
25 papers
Topological Fingerprints of Commensurate Order in Twisted Moiré Lattices
Collin J. Kovacs, Jiangxu Li, Yang Zhang +3
Moiré patterns in twisted bilayer materials exhibit long-range periodic order that is highly sensitive to twist angle. Identifying commensurate angles from real-space atomic struct…
Accurate Helium-Benzene Potential: from CCSD(T) to Gaussian Process Regression
Shahzad Akram, Sutirtha Paul, Collin Kovacs +3
The accurate modeling of non-covalent interactions between helium and graphitic materials is important for understanding quantum phenomena in reduced dimensions, with the helium-be…
Quantum Distance Approximation for Persistence Diagrams
Bernardo Ameneyro, Rebekah Herrman, George Siopsis +1
Topological Data Analysis methods can be useful for classification and clustering tasks in many different fields as they can provide two dimensional persistence diagrams that summa…
A Topological Deep Learning Framework for Neural Spike Decoding
Edward C. Mitchell, Brittany Story, David Boothe +2
The brain's spatial orientation system uses different neuron ensembles to aid in environment-based navigation. Two of the ways brains encode spatial information is through head dir…
Quantum Persistent Homology for Time Series
Bernardo Ameneyro, George Siopsis, Vasileios Maroulas
Persistent homology, a powerful mathematical tool for data analysis, summarizes the shape of data through tracking topological features across changes in different scales. Classica…
Quantum Persistent Homology
Bernardo Ameneyro, Vasileios Maroulas, George Siopsis
Persistent homology is a powerful mathematical tool that summarizes useful information about the shape of data allowing one to detect persistent topological features while one adju…