95 citations · 300 across the 7 of their papers we have counts for
7 papers
Efficient Generalized Spherical CNNs
Oliver J. Cobb, Christopher G. R. Wallis, Augustine N. Mavor-Parker +4
Many problems across computer vision and the natural sciences require the analysis of spherical data, for which representations may be learned efficiently by encoding equivariance…
Distributed and parallel sparse convex optimization for radio interferometry with PURIFY
Luke Pratley, Jason D. McEwen, Mayeul d'Avezac +4
Next generation radio interferometric telescopes are entering an era of big data with extremely large data sets. While these telescopes can observe the sky in higher sensitivity an…
PURIFYing real radio interferometric observations
Luke Pratley, Jason D. McEwen, Mayeul d'Avezac +3
Next-generation radio interferometers, such as the Square Kilometre Array (SKA), will revolutionise our understanding of the universe through their unprecedented sensitivity and re…
Robust sparse image reconstruction of radio interferometric observations with purify
Luke Pratley, Jason D. McEwen, Mayeul d'Avezac +3
Next-generation radio interferometers, such as the Square Kilometre Array (SKA), will revolutionise our understanding of the universe through their unprecedented sensitivity and re…
Spin and orbital magnetic response in metals: susceptibility and NMR shifts
Mayeul d'Avezac, Nicola Marzari, Francesco Mauri
A DFT-based method is presented which allows the computation of all-electron NMR shifts of metallic compounds with periodic boundary conditions. NMR shifts in metals measure two co…
Magnetic response of carbon nanotubes from ab initio calculations
Miguel A. L. Marques, Mayeul d'Avezac, Francesco Mauri
We present {\it ab initio} calculations of the magnetic susceptibility and of the C chemical shift for carbon nanotubes, both isolated and in bundles. These calculations are…