A Fortran-Keras Deep Learning Bridge for Scientific Computing

A Fortran-Keras Deep Learning Bridge for Scientific Computing

14 April 2020

Erik J. Linstead

Papers citing "A Fortran-Keras Deep Learning Bridge for Scientific Computing"

12 / 12 papers shown

Title
RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamics Ajay Bati S. Bryngelson AI4CE 13 1 0 30 Jul 2023
In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD R. Balin F. Simini Cooper Simpson Andrew Shao Alessandro Rigazzi M. Ellis Stephen Becker Alireza Doostan John A. Evans K. Jansen AI4CE 40 3 0 22 Jun 2023
Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI Marcel P. Blind Min Gao Daniel Kempf Patrick Kopper Marius Kurz A. Schwarz Andrea Beck AI4CE 27 4 0 22 Jun 2023
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC Systems Marius Kurz Philipp Offenhäuser Dominic Viola Oleksandr Shcherbakov Michael M. Resch Andrea Beck AI4CE 59 22 0 13 May 2022
Productive Performance Engineering for Weather and Climate Modeling with Python Tal Ben-Nun Linus Groner Florian Deconinck Tobias Wicky Eddie Davis ... Lukas Trumper E. Wu O. Fuhrer T. Schulthess Torsten Hoefler 35 16 0 09 May 2022
Deep Learning Based Cloud Cover Parameterization for ICON Arthur Grundner Tom Beucler Pierre Gentine Fernando Iglesias‐Suarez M. Giorgetta Veronika Eyring 34 21 0 21 Dec 2021
Bridging observation, theory and numerical simulation of the ocean using Machine Learning Maike Sonnewald Redouane Lguensat Daniel C. Jones P. Dueben J. Brajard Venkatramani Balaji AI4Cl AI4CE 51 100 0 26 Apr 2021
Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling Sam Partee M. Ellis Alessandro Rigazzi S. Bachman Gustavo M. Marques Andrew Shao Benjamin Robbins AI4Cl AI4CE 22 19 0 13 Apr 2021
PythonFOAM: In-situ data analyses with OpenFOAM and Python R. Maulik Dimitrios K. Fytanidis Bethany Lusch V. Vishwanath Saumil Patel AI4CE 13 13 0 17 Mar 2021
A Perspective on Machine Learning Methods in Turbulence Modelling Andrea Beck Marius Kurz AI4CE 52 101 0 23 Oct 2020
Combining data assimilation and machine learning to infer unresolved scale parametrisation J. Brajard A. Carrassi Marc Bocquet Laurent Bertino 28 112 0 09 Sep 2020
Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model D. Gagne H. Christensen A. Subramanian A. Monahan AI4CE BDL 75 139 0 10 Sep 2019