The two-dimensional sphere embedded in three-dimensional Euclidean space S2, plays a central role in a variety of scientific and engineering domains, including geophysics, planetary science, geodesy, atmospheric physics, quantum chemistry, cosmology, and virtual reality, among many others. As machine learning increasin...
Thorsten Kurth, M. Rietmann, M. Bisson et al.· 0 citations
An orthogonal 4D-parallelization scheme is devised that introduces a unique domain-tensor-parallelism strategy and a novel uncertainty parallel method, enabling the potential of high-fidelity uncertainty quantification in atmospheric AI models, heralding a new era for AI-based models in climate and Earth system science...
Deifilia Kieckhefen, J. P. G. H. Muriedas, L. Heyen et al.· 0 citations
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