Publications

ACE: A fast, skillful learned global atmospheric model for climate prediction

Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton

Under review, 2023

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Spherical Fourier neural operators: learning stable dynamics on the sphere

Boris Bonev, Thorsten Kurth, Christian Hundt, Jaideep Pathak, Maximilian Baust, Karthik Kashinath, Anima Anandkumar

International Conference on Machine Learning (ICML), 2023

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Efficient algorithms for wave problems

Boris Bonev

PhD Thesis, Applied Mathematics, EPFL, 2021

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A hierarchical preconditioner for wave problems in quasilinear complexity

Boris Bonev, Jan S. Hesthaven

SIAM: Journal on Scientific Computing, 2020

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A comparative study of earthquake source models in high-order accurate tsunami simulations

Hajihassanpour, Mahya; Bonev, Boris; Hesthaven, Jan S.

Ocean Modelling, 2019

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Generating Liquid Simulations with Deformation-aware Neural Networks

Prantl, Lukas; Bonev, Boris; Thuerey Nils

International Conference on Learning Representations (ICLR), 2018

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Discontinuous Galerkin scheme for the spherical shallow water equations with applications to tsunami modeling and prediction

Boris Bonev, Jan S. Hesthaven, Francis X. Giraldo, Michal A. Kopera

Journal of Computational Physics (JCP), 2018

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