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Physics-guided Neural Networks (PGNN): An Application in Lake
  Temperature Modeling
v1v2v3 (latest)

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

31 October 2017
Arka Daw
Anuj Karpatne
William Watkins
J. Read
Vipin Kumar
    PINN
ArXiv (abs)PDFHTMLGithub (108★)

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

50 / 150 papers shown
Title
Scientifically-Interpretable Reasoning Network (ScIReN): Uncovering the Black-Box of Nature
Scientifically-Interpretable Reasoning Network (ScIReN): Uncovering the Black-Box of Nature
Joshua Fan
Haodi Xu
Feng Tao
Md Nasim
Marc Grimson
Yiqi Luo
Carla P. Gomes
23
0
0
16 Jun 2025
A Survey of Physics-Informed AI for Complex Urban Systems
A Survey of Physics-Informed AI for Complex Urban Systems
En Xu
Huandong Wang
Yunke Zhang
Sibo Li
Yinzhou Tang
...
Yuming Lin
Yuan Yuan
Xiaochen Fan
Jingtao Ding
Yong Li
AI4CE
32
0
0
09 Jun 2025
Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
Graph-Based Physics-Guided Urban PM2.5 Air Quality Imputation with Constrained Monitoring Data
Shangjie Du
Hui Wei
Dong Yoon Lee
Zhizhang Hu
Shijia Pan
30
1
0
07 Jun 2025
Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs
Informed, but Not Always Improved: Challenging the Benefit of Background Knowledge in GNNs
Kutalmış Coşkun
Ivo Kavisanczki
Amin Mirzaei
Tom Siegl
Bjarne C. Hiller
Stefan Lüdtke
Martin Becker
60
0
0
16 May 2025
Implementation Analysis of Collaborative Robot Digital Twins in Physics Engines
Implementation Analysis of Collaborative Robot Digital Twins in Physics Engines
Christian König
Jan Petershans
Jan Herbst
Matthias Rüb
Dennis Krummacker
Eric Mittag
Hans D. Schotten
42
0
0
25 Apr 2025
Ga$_2$O$_3$ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
Ga2_22​O3_33​ TCAD Mobility Parameter Calibration using Simulation Augmented Machine Learning with Physics Informed Neural Network
Le Minh Long Nguyen
Edric Ong
Matthew Eng
Yuhao Zhang
Hiu Yung Wong
77
0
0
03 Apr 2025
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
Identifying Trustworthiness Challenges in Deep Learning Models for Continental-Scale Water Quality Prediction
Xiaobo Xia
Xiaofeng Liu
Jiale Liu
K. Fang
Lu Lu
Samet Oymak
William S. Currie
Tongliang Liu
134
0
0
13 Mar 2025
PhysicsGen: Can Generative Models Learn from Images to Predict Complex Physical Relations?
M. Spitznagel
Jan Vaillant
J. Keuper
AI4CEVGenPINN
107
0
0
07 Mar 2025
Meta Learning not to Learn: Robustly Informing Meta-Learning under Nuisance-Varying Families
Louis McConnell
OODCML
104
0
0
06 Mar 2025
Towards Physics-Guided Foundation Models
Towards Physics-Guided Foundation Models
Majid Farhadloo
Arun Sharma
Mingzhou Yang
B. Jayaprakash
W. Northrop
Shashi Shekhar
AI4CE
104
0
0
20 Feb 2025
Forecasting time series with constraints
Forecasting time series with constraints
Nathan Doumèche
Francis Bach
Éloi Bedek
Gérard Biau
Claire Boyer
Y. Goude
AI4TS
207
0
0
14 Feb 2025
A physics-guided neural network for flooding area detection using SAR
  imagery and local river gauge observations
A physics-guided neural network for flooding area detection using SAR imagery and local river gauge observations
Monika Gierszewska
Tomasz Berezowski
AI4CE
23
0
0
11 Oct 2024
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal
  Simulator
Physics-Informed Machine Learning Towards A Real-Time Spacecraft Thermal Simulator
Manaswin Oddiraju
Zaki Hasnain
Saptarshi Bandyopadhyay
Eric Sunada
Souma Chowdhury
AI4CE
27
0
0
08 Jul 2024
Aeroengine performance prediction using a physical-embedded data-driven
  method
Aeroengine performance prediction using a physical-embedded data-driven method
Tong Mo
Shiran Dai
An Fu
Xiaomeng Zhu
Shuxiao Li
58
1
0
29 Jun 2024
Science-Informed Deep Learning (ScIDL) With Applications to Wireless
  Communications
Science-Informed Deep Learning (ScIDL) With Applications to Wireless Communications
Atefeh Termehchi
Ekram Hossain
Isaac Woungang
73
0
0
29 Jun 2024
Streamflow Prediction with Uncertainty Quantification for Water
  Management: A Constrained Reasoning and Learning Approach
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
Mohammed Amine Gharsallaoui
Bhupinderjeet Singh
Supriya Savalkar
Aryan Deshwal
Yan Yan
Ananth Kalyanaraman
Kirti Rajagopalan
J. Doppa
AI4CE
72
1
0
31 May 2024
Physics-integrated generative modeling using attentive planar
  normalizing flow based variational autoencoder
Physics-integrated generative modeling using attentive planar normalizing flow based variational autoencoder
Sheikh Waqas Akhtar
DRL
65
0
0
18 Apr 2024
Machine learning-based optimization workflow of the homogeneity of
  spunbond nonwovens with human validation
Machine learning-based optimization workflow of the homogeneity of spunbond nonwovens with human validation
Viny Saajan Victor
Andre Schmeißer
Heike Leitte
Simone Gramsch
AI4CE
47
0
0
15 Apr 2024
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Knowledge-guided Machine Learning: Current Trends and Future Prospects
Anuj Karpatne
X. Jia
Vipin Kumar
103
12
0
24 Mar 2024
Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of
  Complex Physical Systems
Urban Sound Propagation: a Benchmark for 1-Step Generative Modeling of Complex Physical Systems
M. Spitznagel
J. Keuper
DiffM
57
0
0
16 Mar 2024
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part
  I: A Knowledge-Integrated Framework
Machine Learning in Proton Exchange Membrane Water Electrolysis -- Part I: A Knowledge-Integrated Framework
Xia Chen
A. Rex
Janis Woelke
Christoph Eckert
B. Bensmann
R. Hanke‐Rauschenbach
Philipp Geyer
102
0
0
24 Jan 2024
Hybrid Modeling Design Patterns
Hybrid Modeling Design Patterns
Maja Rudolph
Stefan Kurz
Barbara Rakitsch
AI4CE
92
9
0
29 Dec 2023
Wave Physics-informed Matrix Factorizations
Wave Physics-informed Matrix Factorizations
Harsha Vardhan Tetali
J. Harley
B. Haeffele
79
1
0
21 Dec 2023
VALUED -- Vision and Logical Understanding Evaluation Dataset
VALUED -- Vision and Logical Understanding Evaluation Dataset
Soumadeep Saha
Saptarshi Saha
Utpal Garain
60
0
0
21 Nov 2023
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
FREE: The Foundational Semantic Recognition for Modeling Environmental Ecosystems
Shiyuan Luo
Juntong Ni
Shengyu Chen
Runlong Yu
Yiqun Xie
Licheng Liu
Zhenong Jin
Huaxiu Yao
Xiaowei Jia
137
8
0
17 Nov 2023
Dream to Adapt: Meta Reinforcement Learning by Latent Context
  Imagination and MDP Imagination
Dream to Adapt: Meta Reinforcement Learning by Latent Context Imagination and MDP Imagination
Lu Wen
Songan Zhang
E. Tseng
Huei Peng
VLMOffRL
76
6
0
11 Nov 2023
Constrained Equation Learner Networks for Precision-Preserving
  Extrapolation of Robotic Skills
Constrained Equation Learner Networks for Precision-Preserving Extrapolation of Robotic Skills
Hector M. Perez-Villeda
J. Piater
Matteo Saveriano
45
0
0
04 Nov 2023
Transfer learning for improved generalizability in causal
  physics-informed neural networks for beam simulations
Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations
Taniya Kapoor
Hongrui Wang
Alfredo Núñez
R. Dollevoet
AI4CEPINN
57
17
0
01 Nov 2023
One-shot backpropagation for multi-step prediction in physics-based
  system identification -- EXTENDED VERSION
One-shot backpropagation for multi-step prediction in physics-based system identification -- EXTENDED VERSION
Cesare Donati
Martina Mammarella
Fabrizio Dabbene
C. Novara
C. Lagoa
48
3
0
31 Oct 2023
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey
  on Structural Mechanics Applications
Discussing the Spectrum of Physics-Enhanced Machine Learning; a Survey on Structural Mechanics Applications
M. Haywood-Alexander
Wei Liu
Kiran Bacsa
Zhilu Lai
Eleni Chatzi
AI4CE
78
12
0
31 Oct 2023
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
145
2
0
06 Sep 2023
In Situ Soil Property Estimation for Autonomous Earthmoving Using
  Physics-Infused Neural Networks
In Situ Soil Property Estimation for Autonomous Earthmoving Using Physics-Infused Neural Networks
W. J. Wagner
A. Soylemezoglu
Dustin Nottage
Katherine Driggs-Campbell
13
1
0
05 Sep 2023
Physics-guided training of GAN to improve accuracy in airfoil design
  synthesis
Physics-guided training of GAN to improve accuracy in airfoil design synthesis
Kazunari Wada
Katsuyuki Suzuki
Kazuo Yonekura
AI4CE
59
15
0
19 Aug 2023
Time Series Predictions in Unmonitored Sites: A Survey of Machine
  Learning Techniques in Water Resources
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
81
4
0
18 Aug 2023
Neural oscillators for generalization of physics-informed machine
  learning
Neural oscillators for generalization of physics-informed machine learning
Taniya Kapoor
Abhishek Chandra
D. Tartakovsky
Hongrui Wang
Alfredo Núñez
R. Dollevoet
AI4CE
86
12
0
17 Aug 2023
Predicting and explaining nonlinear material response using deep
  Physically Guided Neural Networks with Internal Variables
Predicting and explaining nonlinear material response using deep Physically Guided Neural Networks with Internal Variables
Javier Orera-Echeverria
J. Ayensa-Jiménez
Manuel Doblaré
51
1
0
07 Aug 2023
Teach Me How to Learn: A Perspective Review towards User-centered
  Neuro-symbolic Learning for Robotic Surgical Systems
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems
Amr Gomaa
Bilal Mahdy
Niko Kleer
Michael Feld
Frank Kirchner
Antonio Krüger
78
5
0
07 Jul 2023
A physics-constrained machine learning method for mapping gapless land
  surface temperature
A physics-constrained machine learning method for mapping gapless land surface temperature
Jun Ma
Huanfeng Shen
Menghui Jiang
Liupeng Lin
C. Meng
Chao Zeng
Huifang Li
Penghai Wu
AI4CE
38
1
0
03 Jul 2023
An analysis of Universal Differential Equations for data-driven
  discovery of Ordinary Differential Equations
An analysis of Universal Differential Equations for data-driven discovery of Ordinary Differential Equations
Mattia Silvestri
Federico Baldo
Eleonora Misino
M. Lombardi
AI4CE
40
1
0
17 Jun 2023
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks
  for Solving PDEs
PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs
Zhongkai Hao
J. Yao
Chang Su
Hang Su
Ziao Wang
...
Zeyu Xia
Yichi Zhang
Songming Liu
Lu Lu
Jun Zhu
PINN
109
35
0
15 Jun 2023
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack
  Propagation
HOSSnet: an Efficient Physics-Guided Neural Network for Simulating Crack Propagation
Shengyu Chen
Shihang Feng
Yao Huang
Z. Lei
Xiaowei Jia
Youzuo Lin
Estaben Rougier
AI4CE
111
0
0
14 Jun 2023
Explainable Predictive Maintenance
Explainable Predictive Maintenance
Sepideh Pashami
Sławomir Nowaczyk
Yuantao Fan
Jakub Jakubowski
Nuno Paiva
...
Bruno Veloso
M. Sayed-Mouchaweh
L. Rajaoarisoa
Grzegorz J. Nalepa
João Gama
80
9
0
08 Jun 2023
Discovering Novel Biological Traits From Images Using Phylogeny-Guided
  Neural Networks
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Mohannad Elhamod
Mridul Khurana
Harish Babu Manogaran
Josef C. Uyeda
M. Balk
...
Wei-Lun Chao
Chuck Stewart
Daniel Rubenstein
T. Berger-Wolf
Anuj Karpatne
58
7
0
05 Jun 2023
Convergence and error analysis of PINNs
Convergence and error analysis of PINNs
Nathan Doumèche
Gérard Biau
D. Boyer
PINNAI4CE
73
17
0
02 May 2023
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal
  Dynamics and Test-Time Refinement
Reconstructing Turbulent Flows Using Physics-Aware Spatio-Temporal Dynamics and Test-Time Refinement
Shengyu Chen
Tianshu Bao
P. Givi
Can Zheng
Xiaowei Jia
AI4CE
75
0
0
24 Apr 2023
Generating artificial digital image correlation data using
  physics-guided adversarial networks
Generating artificial digital image correlation data using physics-guided adversarial networks
D. Melching
Erik Schultheis
Eric Breitbarth
GANAI4CE
139
3
0
28 Mar 2023
Informed Machine Learning, Centrality, CNN, Relevant Document Detection,
  Repatriation of Indigenous Human Remains
Informed Machine Learning, Centrality, CNN, Relevant Document Detection, Repatriation of Indigenous Human Remains
M. A. Bashar
R. Nayak
G. Knapman
Paul Turnbull
C. Fforde
93
1
0
25 Mar 2023
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
MetaPhysiCa: OOD Robustness in Physics-informed Machine Learning
S Chandra Mouli
M. A. Alam
Bruno Ribeiro
OOD
67
4
0
06 Mar 2023
Physics-informed neural networks for solving forward and inverse
  problems in complex beam systems
Physics-informed neural networks for solving forward and inverse problems in complex beam systems
Taniya Kapoor
Hongrui Wang
A. Núñez
R. Dollevoet
AI4CEPINN
81
50
0
02 Mar 2023
A conceptual model for leaving the data-centric approach in machine
  learning
A conceptual model for leaving the data-centric approach in machine learning
S. Scher
Bernhard C. Geiger
Simone Kopeinik
A. Trugler
Dominik Kowald
123
0
0
07 Feb 2023
123
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