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09/16/2023
Earth Virtualization Engines – A Technical Perspective
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs)...
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06/14/2023
ClimSim: An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators
Modern climate projections lack adequate spatial and temporal resolution...
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06/06/2023
Spherical Fourier Neural Operators: Learning Stable Dynamics on the Sphere
Fourier Neural Operators (FNOs) have proven to be an efficient and effec...
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04/25/2023
Physics-Informed Representation Learning for Emergent Organization in Complex Dynamical Systems
Nonlinearly interacting system components often introduce instabilities ...
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10/21/2022
DL-Corrector-Remapper: A grid-free bias-correction deep learning methodology for data-driven high-resolution global weather forecasting
Data-driven models, such as FourCastNet (FCN), have shown exemplary perf...
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08/08/2022
FourCastNet: Accelerating Global High-Resolution Weather Forecasting using Adaptive Fourier Neural Operators
Extreme weather amplified by climate change is causing increasingly deva...
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02/22/2022
FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators
FourCastNet, short for Fourier Forecasting Neural Network, is a global d...
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03/16/2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers
There is growing interest in data-driven weather prediction (DDWP), for ...
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09/30/2020
Using Machine Learning to Augment Coarse-Grid Computational Fluid Dynamics Simulations
Simulation of turbulent flows at high Reynolds number is a computational...
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05/01/2020
MeshfreeFlowNet: A Physics-Constrained Deep Continuous Space-Time Super-Resolution Framework
We propose MeshfreeFlowNet, a novel deep learning-based super-resolution...
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11/20/2019
Towards Physics-informed Deep Learning for Turbulent Flow Prediction
While deep learning has shown tremendous success in a wide range of doma...
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09/25/2019
DisCo: Physics-Based Unsupervised Discovery of Coherent Structures in Spatiotemporal Systems
Extracting actionable insight from complex unlabeled scientific data is ...
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09/16/2019
Towards Unsupervised Segmentation of Extreme Weather Events
Extreme weather is one of the main mechanisms through which climate chan...
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05/13/2019
Enforcing Statistical Constraints in Generative Adversarial Networks for Modeling Chaotic Dynamical Systems
Simulating complex physical systems often involves solving partial diffe...
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01/07/2019
