4 papers
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…
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…
Accurate Machine Learning Predictions of Coercivity in High-Performance Permanent Magnets
Churna Bhandari, Gavin N. Nop, Jonathan D. H. Smith +1
Increased demand for high-performance permanent magnets in the electric vehicle and wind turbine industries has prompted the search for cost-effective alternatives.Discovering new…
Bilayer Ion Trap Design for 2D Arrays
Gavin N. Nop, Jonathan D. H. Smith, Daniel Stick +1
Junctions are fundamental elements that support qubit locomotion in two-dimensional ion trap arrays and enhance connectivity in emerging trapped-ion quantum computers. In surface i…