20 citations · 26 across the 8 of their papers we have counts for
8 papers
Multiscale Decomposition Reveals Predictable Interannual Variability and Climate Trends in Antarctic Sea Ice Loss
Peter Yatsyshin, Karl Lapo, Jonathan Smith +4
Antarctic sea ice has undergone unprecedented changes in recent years, raising questions about how this key geophysical system is responding to climate change. Decades of slow expa…
Technical overview and architecture of the FastNet Machine Learning weather prediction model, version 1.0
Eric G. Daub, Tom Dunstan, Thusal Bennett +30
We present FastNet version 1.0, a data-driven medium range numerical weather prediction (NWP) model based on a Graph Neural Network architecture, developed jointly between the Alan…
FastNet: Improving the physical consistency of machine-learning weather prediction models through loss function design
Tom Dunstan, Oliver Strickson, Thusal Bennett +31
Machine learning weather prediction (MLWP) models have demonstrated remarkable potential in delivering accurate forecasts at significantly reduced computational cost compared to tr…
PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modelling and machine learning
Beatriz Costa-Gomes, Joel Greer, Nikolai Juraschko +8
Ease of access to data, tools and models expedites scientific research. In structural biology there are now numerous open repositories of experimental and simulated datasets. Being…
Faking feature importance: A cautionary tale on the use of differentially-private synthetic data
Oscar Giles, Kasra Hosseini, Grigorios Mingas +13
Synthetic datasets are often presented as a silver-bullet solution to the problem of privacy-preserving data publishing. However, for many applications, synthetic data has been sho…
Dynamical continuum simulation of condensed matter from first-principles
Oliver Strickson, Nikos Nikiforakis, Emilio Artacho
Macroscale continuum mechanics simulations rely on material properties stemming from the microscale, which are normally described using phenomenological equations of state (EOS). A…
Fast Distance Fields for Fluid Dynamics Mesh Generation on Graphics Hardware
A. Roosing, O. T. Strickson, N. Nikiforakis
We present a CUDA accelerated implementation of the Characteristic/Scan Conversion algorithm to generate narrow band signed distance fields in logically Cartesian grids. We outline…
Ab initio calculation of the shock Hugoniot of bulk silicon
Oliver Strickson, Emilio Artacho
We describe a simple annealing procedure to obtain the Hugoniot locus (states accessible by a shock wave) for a given material in a computationally efficient manner. We apply this…