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Dmitrii Kochkov

2 accepted papers

2022

Learned Simulators for Turbulence

ICLR 2022poster

Turbulence simulation with classical numerical solvers requires high-resolution grids to accurately resolve dynamics. Here we train learned simulators at low spatial and temporal resolutions to capture turbulent dynamics generated at high resolution. We show that our proposed model can simulate tur…

Cited by 47SourcePDFScholar
2021

Variational Data Assimilation with a Learned Inverse Observation Operator

ICML 2021spotlight

Variational data assimilation optimizes for an initial state of a dynamical system such that its evolution fits observational data. The physical model can subsequently be evolved into the future to make predictions. This principle is a cornerstone of large scale forecasting applications such as nume…