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Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling

31 October 2017

Arka Daw

Anuj Karpatne

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Papers citing "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"

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Title
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Enhancing predictive skills in physically-consistent way: Physics Informed Machine Learning for Hydrological Processes Pravin Bhasme Jenil Vagadiya Udit Bhatia AI4CE 42 67 0 22 Apr 2021
Finite Volume Neural Network: Modeling Subsurface Contaminant Transport T. Praditia Matthias Karlbauer S. Otte S. Oladyshkin Martin Volker Butz Wolfgang Nowak AI4CE 75 18 0 13 Apr 2021
Towards a Collective Agenda on AI for Earth Science Data Analysis D. Tuia R. Roscher Jan Dirk Wegner Nathan Jacobs Xiaoxiang Zhu Gustau Camps-Valls AI4CE 84 70 0 11 Apr 2021
CoMoGAN: continuous model-guided image-to-image translation Fabio Pizzati Pietro Cerri Raoul de Charette VLM 117 42 0 11 Mar 2021
Injecting Knowledge in Data-driven Vehicle Trajectory Predictors Mohammadhossein Bahari Ismail Nejjar Alexandre Alahi 86 50 0 08 Mar 2021
Knowledge-Guided Dynamic Systems Modeling: A Case Study on Modeling River Water Quality Namyong Park Minhyeok Kim N. X. Hoai R. I. R. McKay Dong-Kyun Kim 23 2 0 01 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling Naoya Takeishi Alexandros Kalousis DRL AI4CE 106 56 0 25 Feb 2021
Theory-guided hard constraint projection (HCP): a knowledge-based data-driven scientific machine learning method Yuntian Chen Dou Huang Dongxiao Zhang Junsheng Zeng Nanzhe Wang Haoran Zhang Jinyue Yan PINN 76 111 0 11 Dec 2020
On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré 33 1 0 23 Nov 2020
Identification of state functions by physically-guided neural networks with physically-meaningful internal layers J. Ayensa-Jiménez M. H. Doweidar J. A. Sanz-Herrera Manuel Doblaré PINN 32 1 0 17 Nov 2020
A Quantitative Perspective on Values of Domain Knowledge for Machine Learning Jianyi Yang Shaolei Ren FAtt FaML 61 5 0 17 Nov 2020
Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning J. Willard J. Read A. Appling S. Oliver X. Jia Vipin Kumar AI4TS 72 57 0 10 Nov 2020
Predicting Playa Inundation Using a Long Short-Term Memory Neural Network Kylen Solvik A. Bartuszevige M. Bogaerts M. Joseph 23 5 0 16 Oct 2020
Physics-informed GANs for Coastal Flood Visualization Björn Lütjens B. Leshchinskiy C. Requena-Mesa F. Chishtie Natalia Díaz Rodríguez ... A. Piña Dava Newman Alexander Lavin Y. Gal Chedy Raïssi AI4CE 48 15 0 16 Oct 2020
A Survey on Machine Learning Applied to Dynamic Physical Systems Sagar Verma AI4CE 25 4 0 21 Sep 2020
A Lagrangian Dual-based Theory-guided Deep Neural Network Miao Rong Dongxiao Zhang Nanzhe Wang 71 14 0 24 Aug 2020
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics Maan Qraitem D. Kularatne Eric Forgoston M. A. Hsieh AI4CE 86 10 0 23 Aug 2020
Learning Insulin-Glucose Dynamics in the Wild Andrew C. Miller N. Foti E. Fox AI4TS 37 20 0 06 Aug 2020
Coupling Machine Learning and Crop Modeling Improves Crop Yield Prediction in the US Corn Belt Mohsen Shahhosseini Guiping Hu S. Archontoulis I. Huber AI4Cl 62 259 0 28 Jul 2020
Physics-Based Deep Neural Networks for Beam Dynamics in Charged Particle Accelerators A. Ivanov I. Agapov 38 27 0 07 Jul 2020
Physics-based polynomial neural networks for one-shot learning of dynamical systems from one or a few samples A. Ivanov U. Iben Anna Golovkina PINN 37 3 0 24 May 2020
Domain-specific loss design for unsupervised physical training: A new approach to modeling medical ML solutions Hendrik Burwinkel H. Matz Stefan Saur Christoph Hauger A. Evren N. Hirnschall O. Findl Nassir Navab Seyed-Ahmad Ahmadi OOD 13 2 0 09 May 2020
Evaluation, Tuning and Interpretation of Neural Networks for Meteorological Applications I. Ebert‐Uphoff Kyle Hilburn 80 32 0 06 May 2020
A Hybrid Objective Function for Robustness of Artificial Neural Networks -- Estimation of Parameters in a Mechanical System J. Sokołowski V. Schulz Udo Schröder H. Beise AAML 26 0 0 16 Apr 2020
Sample-Specific Output Constraints for Neural Networks Mathis Brosowsky Olaf Dünkel Daniel Slieter Marius Zöllner AILaw PINN 66 10 0 23 Mar 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 415 0 10 Mar 2020
Towards Physically-consistent, Data-driven Models of Convection Tom Beucler Michael S. Pritchard Pierre Gentine S. Rasp AI4CE 43 32 0 20 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 119 218 0 28 Jan 2020
Forecasting Corn Yield with Machine Learning Ensembles Mohsen Shahhosseini Guiping Hu S. Archontoulis 108 177 0 18 Jan 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 111 375 0 20 Nov 2019
Enforcing Deterministic Constraints on Generative Adversarial Networks for Emulating Physical Systems Zeng Yang Jin-Long Wu Heng Xiao AI4CE 86 17 0 15 Nov 2019
Accounting for Physics Uncertainty in Ultrasonic Wave Propagation using Deep Learning Ishan D. Khurjekar J. Harley 15 3 0 07 Nov 2019
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling Arka Daw R. Q. Thomas C. Carey J. Read A. Appling Anuj Karpatne AI4CE 83 120 0 06 Nov 2019
A framework for deep learning emulation of numerical models with a case study in satellite remote sensing Kate Duffy T. Vandal Weile Wang R. Nemani A. Ganguly 42 8 0 29 Oct 2019
Deep Learning of Subsurface Flow via Theory-guided Neural Network Nanzhe Wang Dongxiao Zhang Haibin Chang Heng Li AI4CE 116 235 0 24 Oct 2019
Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion Rushil Anirudh Kyong Hwan Jin Shusen Liu P. Bremer M. Stuber PINN AI4CE 36 0 0 03 Oct 2019
Blending Diverse Physical Priors with Neural Networks Yunhao Ba Guangyuan Zhao A. Kadambi PINN AI4CE 57 32 0 01 Oct 2019
An Iterative Scientific Machine Learning Approach for Discovery of Theories Underlying Physical Phenomena N. Zobeiry K. D. Humfeld PINN AI4CE 41 6 0 24 Sep 2019
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning Peter Y. Lu Samuel Kim Marin Soljacic AI4CE 58 60 0 13 Jul 2019
Applying machine learning to improve simulations of a chaotic dynamical system using empirical error correction P. Watson AI4Cl AI4CE 67 65 0 24 Apr 2019
Including Physics in Deep Learning -- An example from 4D seismic pressure saturation inversion Jesper Sören Dramsch G. Côrte Hamed Amini C. MacBeth M. Lüthje AI4CE PINN 16 2 0 03 Apr 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 160 655 0 29 Mar 2019
Deep Shape from Polarization Yunhao Ba Alex Ross Gilbert Franklin Wang Jinfa Yang Rui Chen Yiqin Wang Lei Yan Boxin Shi A. Kadambi 91 14 0 25 Mar 2019
Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles X. Jia J. Willard Anuj Karpatne J. Read Jacob Aaron Zwart M. Steinbach Vipin Kumar PINN AI4CE 68 214 0 31 Oct 2018
Physics Guided Recurrent Neural Networks For Modeling Dynamical Systems: Application to Monitoring Water Temperature And Quality In Lakes X. Jia Anuj Karpatne J. Willard M. Steinbach J. Read Paul C. Hanson H. Dugan Vipin Kumar PINN AI4CE 51 36 0 05 Oct 2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems Yun Long Xueyuan She Saibal Mukhopadhyay 74 59 0 19 Jun 2018
Opening the black box of deep learning Dian Lei Xiaoxiao Chen Jianfei Zhao AI4CE PINN 70 27 0 22 May 2018
Machine Learning for the Geosciences: Challenges and Opportunities Anuj Karpatne I. Ebert‐Uphoff S. Ravela H. Babaie Vipin Kumar AI4CE 80 401 0 13 Nov 2017