Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling

15 June 2019

Papers citing "Achieving Conservation of Energy in Neural Network Emulators for Climate Modeling"

32 / 32 papers shown

Title
Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond Joshua Fan Haodi Xu Feng Tao Md Nasim Marc Grimson Yiqi Luo Daniel Schwalbe-Koda 140 0 0 16 Jun 2025
CondensNet: Enabling stable long-term climate simulations via hybrid deep learning models with adaptive physical constraints Xin Wang Juntao Yang Jeff Adie Simon See Kalli Furtado Chen Chen T. Arcomano R. Maulik G. Mengaldo AI4CE 194 1 0 18 Feb 2025
Calabi-Yau metrics through Grassmannian learning and Donaldson's algorithm Carl Henrik Ek Oisin Kim Challenger Mishra 147 2 0 15 Oct 2024
DiffESM: Conditional Emulation of Temperature and Precipitation in Earth System Models with 3D Diffusion ModelsJournal of Advances in Modeling Earth Systems (JAMES), 2024 Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz 174 11 0 17 Sep 2024
Downscaling Neural Network for Coastal Simulations Zhi-Song Liu Markus Buttner V. Aizinger Andreas Rupp SupR 243 0 0 29 Aug 2024
Hybrid Modeling Design PatternsJournal of Mathematics in Industry (JMI), 2023 Maja Rudolph Stefan Kurz Barbara Rakitsch AI4CE 198 14 0 29 Dec 2023
OceanNet: A principled neural operator-based digital twin for regional oceansScientific Reports (Sci Rep), 2023 Ashesh Chattopadhyay Michael Gray Tianning Wu Anna B. Lowe Ruoying He AI4Cl 179 24 0 01 Oct 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling Qidong Yang Alex Hernandez-Garcia P. Harder Venkatesh Ramesh Prasanna Sattegeri Daniela Szwarcman C. Watson David Rolnick AI4CE 102 29 0 23 May 2023
DiffESM: Conditional Emulation of Earth System Models with Diffusion Models Seth Bassetti Brian Hutchinson Claudia Tebaldi Ben Kravitz DiffM 137 11 0 23 Apr 2023
Inductive biases in deep learning models for weather prediction Jannik Thümmel Matthias Karlbauer S. Otte C. Zarfl Georg Martius ... Thomas Scholten Ulrich Friedrich V. Wulfmeyer B. Goswami Martin Volker Butz AI4CE 223 7 0 06 Apr 2023
AutoPINN: When AutoML Meets Physics-Informed Neural Networks Xinle Wu Dalin Zhang Miao Zhang Chenjuan Guo Shuai Zhao Yi Zhang Huai Wang B. Yang PINN 63 4 0 08 Dec 2022
Knowledge-augmented Deep Learning and Its Applications: A SurveyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022 Zijun Cui Tian Gao Kartik Talamadupula Qiang Ji 251 28 0 30 Nov 2022
Emergence of Concepts in DNNs? Tim Räz 53 0 0 11 Nov 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series ForecastingInternational Conference on Machine Learning and Applications (ICMLA), 2022 Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 165 29 0 08 Sep 2022
Differentiable Programming for Earth System ModelingGeoscientific Model Development (GMD), 2022 Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 193 23 0 29 Aug 2022
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 192 31 0 08 Aug 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 108 12 0 23 Jul 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and VibroacousticMechanical systems and signal processing (MSSP), 2022 Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 141 112 0 13 Apr 2022
Physics-Guided Problem Decomposition for Scaling Deep Learning of High-dimensional Eigen-Solvers: The Case of Schrödinger's Equation Sangeeta Srivastava Samuel W. Olin V. Podolskiy Anuj Karpatne Wei‐Cheng Lee Anish Arora 93 0 0 12 Feb 2022
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 374 77 0 02 Jul 2021
Machine learning structure preserving brackets for forecasting irreversible processes Kookjin Lee Nathaniel Trask P. Stinis AI4CE 189 55 0 23 Jun 2021
DC3: A learning method for optimization with hard constraintsInternational Conference on Learning Representations (ICLR), 2021 P. Donti David Rolnick J. Zico Kolter AI4CE 122 227 0 25 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 93 21 0 13 Apr 2021
Towards physically consistent data-driven weather forecasting: Integrating data assimilation with equivariance-preserving deep spatial transformers Ashesh Chattopadhyay M. Mustafa Pedram Hassanzadeh Eviatar Bach K. Kashinath AI4CE 140 45 0 16 Mar 2021
Will Artificial Intelligence supersede Earth System and Climate Models?Nature Machine Intelligence (Nat. Mach. Intell.), 2021 C. Irrgang Niklas Boers Maike Sonnewald E. Barnes C. Kadow J. Staneva J. Saynisch‐Wagner AI4Cl AI4CE 180 214 0 22 Jan 2021
MC-LSTM: Mass-Conserving LSTMInternational Conference on Machine Learning (ICML), 2021 Pieter-Jan Hoedt Frederik Kratzert D. Klotz Christina Halmich Markus Holzleitner G. Nearing Sepp Hochreiter Günter Klambauer 179 65 0 13 Jan 2021
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental SystemsACM Computing Surveys (ACM CSUR), 2020 J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 380 488 0 10 Mar 2020
Data-driven super-parameterization using deep learning: Experimentation with multi-scale Lorenz 96 systems and transfer-learningJournal of Advances in Modeling Earth Systems (JAMES), 2020 Ashesh Chattopadhyay Adam Subel Pedram Hassanzadeh BDL AI4CE 127 60 0 25 Feb 2020
Towards Physically-consistent, Data-driven Models of ConvectionIEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020 Tom Beucler Michael S. Pritchard Pierre Gentine S. Rasp AI4CE 148 33 0 20 Feb 2020
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 AI4Cl AI4TS 426 547 0 02 Feb 2020
Using Machine Learning for Model Physics: an Overview V. Krasnopolsky Aleksei A. Belochitski PINN AI4CE 155 10 0 02 Feb 2020
Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles X. Jia J. Willard Anuj Karpatne J. Read Jacob Aaron Zwart M. Steinbach Vipin Kumar AI4CE PINN 230 243 0 28 Jan 2020