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A Fortran-Keras Deep Learning Bridge for Scientific Computing
v1v2 (latest)

A Fortran-Keras Deep Learning Bridge for Scientific Computing

Scientific Programming (SP), 2020
14 April 2020
J. Ott
M. Pritchard
Natalie Best
Erik J. Linstead
M. Curcic
Pierre Baldi
    AI4CE
ArXiv (abs)PDFHTML

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

23 / 23 papers shown
Title
Stabilizing PDE--ML coupled systems
Stabilizing PDE--ML coupled systems
S. Qadeer
P. Stinis
Hui. Wan
78
0
0
24 Jun 2025
SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method
SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient MethodJournal of Research of the National Institute of Standards and Technology (J. Res. Natl. Inst. Stand. Technol.), 2015
Javier Bernal
Jose Torres-Jimenez
230
6
0
31 Jan 2025
Online Test of a Neural Network Deep Convection Parameterization in
  ARP-GEM1
Online Test of a Neural Network Deep Convection Parameterization in ARP-GEM1
Blanka Balogh
David Saint-Martin
Olivier Geoffroy
77
0
0
29 Oct 2024
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth
  System Model from Fortran to Python/JAX
Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX
Anthony Zhou
Linnia Hawkins
Pierre Gentine
108
5
0
13 Feb 2024
Multi-fidelity climate model parameterization for better generalization
  and extrapolation
Multi-fidelity climate model parameterization for better generalization and extrapolation
Mohamed Aziz Bhouri
Liran Peng
Michael S. Pritchard
Pierre Gentine
AI4CE
160
6
0
19 Sep 2023
RoseNNa: A performant, portable library for neural network inference
  with application to computational fluid dynamics
RoseNNa: A performant, portable library for neural network inference with application to computational fluid dynamicsComputer Physics Communications (CPC), 2023
Ajay Bati
S. Bryngelson
AI4CE
87
1
0
30 Jul 2023
In Situ Framework for Coupling Simulation and Machine Learning with
  Application to CFD
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
88
5
0
22 Jun 2023
Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver
  FLEXI
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
102
5
0
22 Jun 2023
Perspectives on AI Architectures and Co-design for Earth System
  Predictability
Perspectives on AI Architectures and Co-design for Earth System PredictabilityArtificial Intelligence for the Earth Systems (AI4ES), 2023
M. Mudunuru
James A. Ang
M. Halappanavar
Simon D. Hammond
Maya Gokhale
...
Tushar Krishna
S. Sreepathi
Matthew R. Norman
Ivy Bo Peng
Philip W. Jones
65
2
0
07 Apr 2023
Online model error correction with neural networks in the incremental
  4D-Var framework
Online model error correction with neural networks in the incremental 4D-Var frameworkJournal of Advances in Modeling Earth Systems (JAMES), 2022
A. Farchi
M. Chrust
Marc Bocquet
P. Laloyaux
Massimo Bonavita
172
30
0
25 Oct 2022
Hard-Constrained Deep Learning for Climate Downscaling
Hard-Constrained Deep Learning for Climate DownscalingJournal of machine learning research (JMLR), 2022
P. Harder
Alex Hernandez-Garcia
Venkatesh Ramesh
Qidong Yang
P. Sattigeri
Daniela Szwarcman
C. Watson
David Rolnick
176
31
0
08 Aug 2022
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC
  Systems
Deep Reinforcement Learning for Computational Fluid Dynamics on HPC SystemsJournal of Computer Science (JCS), 2022
Marius Kurz
Philipp Offenhäuser
Dominic Viola
Oleksandr Shcherbakov
Michael M. Resch
Andrea Beck
AI4CE
144
29
0
13 May 2022
Productive Performance Engineering for Weather and Climate Modeling with
  Python
Productive Performance Engineering for Weather and Climate Modeling with PythonInternational Conference for High Performance Computing, Networking, Storage and Analysis (SC), 2022
Tal Ben-Nun
Linus Groner
Florian Deconinck
Tobias Wicky
Eddie Davis
...
Lukas Trumper
E. Wu
O. Fuhrer
T. Schulthess
Torsten Hoefler
115
21
0
09 May 2022
Deep Learning Based Cloud Cover Parameterization for ICON
Deep Learning Based Cloud Cover Parameterization for ICONJournal of Advances in Modeling Earth Systems (JAMES), 2021
Arthur Grundner
Tom Beucler
Pierre Gentine
Fernando Iglesias‐Suarez
M. Giorgetta
Veronika Eyring
144
31
0
21 Dec 2021
Climate-Invariant Machine Learning
Climate-Invariant Machine Learning
Tom Beucler
Pierre Gentine
J. Yuval
Ankitesh Gupta
Liran Peng
...
F. Ahmed
P. O’Gorman
J. Neelin
N. Lutsko
Michael S. Pritchard
OODAI4CE
208
85
0
14 Dec 2021
Bridging observation, theory and numerical simulation of the ocean using
  Machine Learning
Bridging observation, theory and numerical simulation of the ocean using Machine LearningEnvironmental Research Letters (ERL), 2021
Maike Sonnewald
Redouane Lguensat
Daniel C. Jones
P. Dueben
J. Brajard
Venkatramani Balaji
AI4ClAI4CE
177
115
0
26 Apr 2021
Using Machine Learning at Scale in HPC Simulations with SmartSim: An
  Application to Ocean Climate Modeling
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
AI4ClAI4CE
89
21
0
13 Apr 2021
PythonFOAM: In-situ data analyses with OpenFOAM and Python
PythonFOAM: In-situ data analyses with OpenFOAM and PythonJournal of Computer Science (JCS), 2021
R. Maulik
Dimitrios K. Fytanidis
Bethany Lusch
V. Vishwanath
Saumil Patel
AI4CE
91
13
0
17 Mar 2021
Deploying deep learning in OpenFOAM with TensorFlow
Deploying deep learning in OpenFOAM with TensorFlow
R. Maulik
Himanshu Sharma
Saumil Patel
Bethany Lusch
Elise Jennings
AI4CE
117
23
0
01 Dec 2020
A Perspective on Machine Learning Methods in Turbulence Modelling
A Perspective on Machine Learning Methods in Turbulence Modelling
Andrea Beck
Marius Kurz
AI4CE
148
111
0
23 Oct 2020
Combining data assimilation and machine learning to infer unresolved
  scale parametrisation
Combining data assimilation and machine learning to infer unresolved scale parametrisation
J. Brajard
A. Carrassi
Marc Bocquet
Laurent Bertino
233
130
0
09 Sep 2020
WeatherBench: A benchmark dataset for data-driven weather forecasting
WeatherBench: A benchmark dataset for data-driven weather forecastingJournal of Advances in Modeling Earth Systems (JAMES), 2020
S. Rasp
P. Dueben
S. Scher
Jonathan A. Weyn
Soukayna Mouatadid
Nils Thuerey
AI4ClAI4TS
378
542
0
02 Feb 2020
Using Machine Learning for Model Physics: an Overview
Using Machine Learning for Model Physics: an Overview
V. Krasnopolsky
Aleksei A. Belochitski
PINNAI4CE
151
10
0
02 Feb 2020
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