2 papers
cond-mat.mtrl-sci2026
Cut-and-Project Density Functional Theory for Quasicrystals
Gavin N. Nop, Jonathan D. H. Smith, Thomas Koschny +1
Cut-and-project from a symmetric structure in a higher-dimensional space is a standard method for describing the structure of a large class of quasicrystals. By means of a novel lo…
cond-mat.other2025
Predicting quantum materials properties using novel faithful machine learning embeddings
Gavin Nop, Micah Mundy, Durga Paudyal +1
Machine Learning (ML) is accelerating the progress of materials prediction and classification, with particular success in CGNN designs. While classical ML methods remain accessible…