v1v2v3 (latest)

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

31 October 2017

Arka Daw

Anuj Karpatne

ArXiv (abs)PDF HTML Github (108★)

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

50 / 150 papers shown

Title
Towards Scalable Physically Consistent Neural Networks: an Application to Data-driven Multi-zone Thermal Building Models L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones AI4CE 107 30 0 23 Dec 2022
Physics-constrained deep learning postprocessing of temperature and humidity Francesco Zanetta D. Nerini Tom Beucler M. Liniger AI4CE 46 5 0 07 Dec 2022
Machine Learning for Smart and Energy-Efficient Buildings Hari Prasanna Das Yu-Wen Lin Utkarsha Agwan Lucas Spangher Alex Devonport Yu Yang Ján Drgoňa A. Chong S. Schiavon C. Spanos HAI AI4CE 99 22 0 27 Nov 2022
TgDLF2.0: Theory-guided deep-learning for electrical load forecasting via Transformer and transfer learning Jiaxin Gao Wenbo Hu Dongxiao Zhang Yuntian Chen AI4TS AI4CE 83 2 0 05 Oct 2022
Phy-Taylor: Physics-Model-Based Deep Neural Networks Y. Mao L. Sha Huajie Shao Yuliang Gu Qixin Wang Tarek Abdelzaher PINN AI4CE 101 1 0 27 Sep 2022
Unifying Model-Based and Neural Network Feedforward: Physics-Guided Neural Networks with Linear Autoregressive Dynamics J. Kon D. Bruijnen Jeroen van de Wijdeven M. Heertjes T. Oomen 70 5 0 26 Sep 2022
Artificial Intelligence in Concrete Materials: A Scientometric View Zhanzhao Li Aleksandra Radliñska AI4CE 26 2 0 17 Sep 2022
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting Zakaria Elabid Tanujit Chakraborty Abdenour Hadid AI4TS 117 21 0 08 Sep 2022
Prior Knowledge-Guided Attention in Self-Supervised Vision Transformers Kevin Miao Akash Gokul Raghav Singh Suzanne Petryk Joseph E. Gonzalez Kurt Keutzer Trevor Darrell Colorado Reed ViT MedIm 72 6 0 07 Sep 2022
Multiscale Neural Operator: Learning Fast and Grid-independent PDE Solvers Björn Lütjens Catherine H. Crawford C. Watson C. Hill Dava Newman AI4CE 52 10 0 23 Jul 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structures Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 67 23 0 16 Jul 2022
Physics-Aware Neural Networks for Boundary Layer Linear Problems A. A. Gomes Larissa Miguez da Silva F. Valentin PINN AI4CE 18 1 0 15 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 88 3 0 02 Jul 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 81 22 0 30 Jun 2022
Physics-informed machine learning for Structural Health Monitoring E. Cross S. Gibson M. R. Jones D. J. Pitchforth S. Zhang T. Rogers AI4CE 105 36 0 30 Jun 2022
Physics-Infused Fuzzy Generative Adversarial Network for Robust Failure Prognosis Ryan D. Nguyen S. Singh Rahul Rai AI4CE 30 10 0 15 Jun 2022
Uncertainty quantification of two-phase flow in porous media via coupled-TgNN surrogate model Jun Yu Li Dongxiao Zhang Tianhao He Q. Zheng AI4CE 83 7 0 28 May 2022
Multi-Objective Physics-Guided Recurrent Neural Networks for Identifying Non-Autonomous Dynamical Systems Oliver Schön Ricarda-Samantha Götte Julia Timmermann AI4CE 62 6 0 27 Apr 2022
Supplementation of deep neural networks with simplified physics-based features to increase model prediction accuracy Nicholus R. Clinkinbeard Nicole N. Hashemi PINN AI4CE 68 0 0 14 Apr 2022
A Review of Machine Learning Methods Applied to Structural Dynamics and Vibroacoustic Barbara Z Cunha C. Droz A. Zine Stéphane Foulard M. Ichchou AI4CE 71 91 0 13 Apr 2022
A quantum generative model for multi-dimensional time series using Hamiltonian learning H. Horowitz Pooja S B. Rao Santosh Kumar Radha GAN 75 6 0 13 Apr 2022
Discrepancy Modeling Framework: Learning missing physics, modeling systematic residuals, and disambiguating between deterministic and random effects Megan R. Ebers K. Steele J. Nathan Kutz 90 16 0 10 Mar 2022
Integration of knowledge and data in machine learning Yuntian Chen Dongxiao Zhang PINN 93 34 0 15 Feb 2022
Deep Neural Networks to Correct Sub-Precision Errors in CFD Akash Haridas N. R. Vadlamani Y. Minamoto 25 5 0 09 Feb 2022
On feedforward control using physics-guided neural networks: Training cost regularization and optimized initialization M. Bolderman M. Lazar H. Butler AI4CE 23 10 0 28 Jan 2022
Maximizing information from chemical engineering data sets: Applications to machine learning Alexander Thebelt Johannes Wiebe Jan Kronqvist Calvin Tsay Ruth Misener AI4CE 119 74 0 25 Jan 2022
Causal Knowledge Guided Societal Event Forecasting Songgaojun Deng Huzefa Rangwala Yue Ning AI4TS 61 2 0 10 Dec 2021
Physically Consistent Neural Networks for building thermal modeling: theory and analysis L. D. Natale B. Svetozarevic Philipp Heer Colin N. Jones PINN AI4CE 107 90 0 06 Dec 2021
A Hybrid Science-Guided Machine Learning Approach for Modeling and Optimizing Chemical Processes Niket Sharma Y. A. Liu 32 86 0 02 Dec 2021
Multicriteria interpretability driven Deep Learning M. Repetto 41 14 0 28 Nov 2021
Visual design intuition: Predicting dynamic properties of beams from raw cross-section images P. Wyder Hod Lipson 11 6 0 14 Nov 2021
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction Yuxin Meng Eric Rigall Xueén Chen Feng Gao Junyu Dong Sheng Chen GAN AI4CE 75 42 0 04 Nov 2021
Semi-supervised physics guided deep learning framework for predicting the I-V characteristics of GAN HEMT Shivanshu Mishra Bipin Gaikwad N. Chaturvedi AI4CE 34 0 0 20 Oct 2021
Transfer Learning Approaches for Knowledge Discovery in Grid-based Geo-Spatiotemporal Data Aishwarya Sarkar Jien Zhang Chaoqun Lu Ali Jannesari AI4CE 90 2 0 02 Oct 2021
Learning in Sinusoidal Spaces with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi Abhishek Gupta Yew-Soon Ong AI4CE PINN SSL 86 82 0 20 Sep 2021
PCNN: A physics-constrained neural network for multiphase flows Haoyang Zheng Ziyang Huang Guang Lin PINN 57 9 0 18 Sep 2021
Reconstructing High-resolution Turbulent Flows Using Physics-Guided Neural Networks Shengyu Chen S. Sammak P. Givi J. Yurko Xiaowei Jia AI4CE 57 10 0 06 Sep 2021
Investigation of Nonlinear Model Order Reduction of the Quasigeostrophic Equations through a Physics-Informed Convolutional Autoencoder R. Cooper Andrey A. Popov Adrian Sandu 79 4 0 27 Aug 2021
Wave-Informed Matrix Factorization with Global Optimality Guarantees Harsha Vardhan Tetali J. Harley B. Haeffele 62 1 0 19 Jul 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 125 69 0 02 Jul 2021
Domain-guided Machine Learning for Remotely Sensed In-Season Crop Growth Estimation G. Worrall Anand Rangarajan J. Judge 84 7 0 24 Jun 2021
Capabilities of Deep Learning Models on Learning Physical Relationships: Case of Rainfall-Runoff Modeling with LSTM Kazuki Yokoo K. Ishida A. Ercan T. Tu T. Nagasato M. Kiyama Motoki Amagasaki 89 37 0 15 Jun 2021
Monotonic Neural Network: combining Deep Learning with Domain Knowledge for Chiller Plants Energy Optimization Fanhe Ma Faen Zhang Shenglan Ben Shuxin Qin Pengcheng Zhou Changsheng Zhou Fengyi Xu 53 0 0 11 Jun 2021
Encoding physics to learn reaction-diffusion processes Chengping Rao Pu Ren Qi Wang O. Buyukozturk Haoqin Sun Yang Liu PINN AI4CE DiffM 107 97 0 09 Jun 2021
PID-GAN: A GAN Framework based on a Physics-informed Discriminator for Uncertainty Quantification with Physics Arka Daw M. Maruf Anuj Karpatne AI4CE 92 43 0 06 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 76 56 0 05 Jun 2021
PCE-PINNs: Physics-Informed Neural Networks for Uncertainty Propagation in Ocean Modeling Björn Lütjens Catherine H. Crawford Mark S. Veillette Dava Newman 96 10 0 05 May 2021
Improved Surrogate Modeling of Fluid Dynamics with Physics-Informed Neural Networks Jian Cheng Wong C. Ooi P. Chiu M. Dao PINN AI4CE 81 4 0 05 May 2021
Towards Error Measures which Influence a Learners Inductive Bias to the Ground Truth A. I. Parkes Adam Sobey D. Hudson UQCV 55 1 0 04 May 2021
A Gradient-based Deep Neural Network Model for Simulating Multiphase Flow in Porous Media B. Yan D. Harp R. Pawar AI4CE 100 68 0 30 Apr 2021