Approximation and Optimization of Global Environmental Simulations with Neural Networks

Author:

Azmi Elnaz1ORCID,Meyer Jörg1ORCID,Strobl Marcus1ORCID,Weimer Michael2ORCID,Streit Achim1ORCID

Affiliation:

1. Steinbuch Centre for Computing, Karlsruhe Institute of Technology, Karlsruhe, Germany

2. Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, United States of America

Publisher

ACM

Reference36 articles.

1. Deep learning for surrogate modeling of two-dimensional mantle convection

2. AI for Fast Atmospheric Chemistry

3. Desalination in Nuclear Power Plants

4. E. Azmi. 2023. An ICON Neural Network based approach. https://github.com/elnazazmi/iconet E. Azmi. 2023. An ICON Neural Network based approach. https://github.com/elnazazmi/iconet

5. Technical note: “Bit by bit”: a practical and general approach for evaluating model computational complexity vs. model performance

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