Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in
Simulating Lake Temperature Profiles

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Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles

31 October 2018

Anuj Karpatne

Jacob Aaron Zwart

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Papers citing "Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles"

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Title
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
Graph-based Reinforcement Learning for Active Learning in Real Time: An Application in Modeling River Networks X. Jia Beiyu Lin Jacob Aaron Zwart J. Sadler A. Appling S. Oliver J. Read OffRL AI4CE 84 6 0 27 Oct 2020
Using machine learning to correct model error in data assimilation and forecast applications A. Farchi P. Laloyaux Massimo Bonavita Marc Bocquet AI4CE 97 107 0 23 Oct 2020
Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks X. Jia Jacob Aaron Zwart J. Sadler A. Appling S. Oliver ... J. Willard Shaoming Xu M. Steinbach J. Read Vipin Kumar AI4CE 17 12 0 26 Sep 2020
Learning Insulin-Glucose Dynamics in the Wild Andrew C. Miller N. Foti E. Fox AI4TS 37 20 0 06 Aug 2020
A Tailored Convolutional Neural Network for Nonlinear Manifold Learning of Computational Physics Data using Unstructured Spatial Discretizations John Tencer Kevin Potter AI4CE 61 13 0 11 Jun 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
A Dual-Dimer Method for Training Physics-Constrained Neural Networks with Minimax Architecture Dehao Liu Yan Wang 133 77 0 01 May 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
Resilient Cyberphysical Systems and their Application Drivers: A Technology Roadmap Somali Chaterji Parinaz Naghizadeh Ardabili M. A. Alam S. Bagchi M. Chiang ... Tiark Rompf A. Sabharwal S. Sundaram James Weimer Jennifer Weller 62 16 0 20 Dec 2019
Enhancing streamflow forecast and extracting insights using long-short term memory networks with data integration at continental scales D. Feng K. Fang Chaopeng Shen AI4TS 103 282 0 18 Dec 2019
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
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
Meta-Learning for Black-box Optimization T. Vishnu Pankaj Malhotra Jyoti Narwariya Lovekesh Vig Gautam M. Shroff 64 19 0 16 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
AIR5: Five Pillars of Artificial Intelligence Research Yew-Soon Ong Abhishek Gupta 74 29 0 30 Dec 2018