v1v2 (latest)

Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss

24 July 2018

Papers citing "Weakly-Supervised Deep Learning of Heat Transport via Physics Informed Loss"

24 / 24 papers shown

Title
UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs Xi Han Fei Hou Hong Qin AI4CE 70 2 0 09 Aug 2024
Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Hong Wang Zhongkai Hao Jie Wang Zijie Geng Zhen Wang Bin Li Fengli Wu 53 3 0 17 Jan 2024
Learning the solution operator of two-dimensional incompressible Navier-Stokes equations using physics-aware convolutional neural networks Viktor Grimm Alexander Heinlein A. Klawonn AI4CE 64 4 0 04 Aug 2023
Analyzing the Performance of Deep Encoder-Decoder Networks as Surrogates for a Diffusion Equation J. Q. Toledo-Marín J. Glazier Geoffrey C. Fox 85 4 0 07 Feb 2023
Sequential Estimation of Gaussian Process-based Deep State-Space Models Yuhao Liu Marzieh Ajirak Petar M. Djurić 103 14 0 29 Jan 2023
Harmonic (Quantum) Neural Networks Atiyo Ghosh Antonio A. Gentile M. Dagrada Chul Lee S. Kim Hyukgeun Cha Yunjun Choi Brad Kim J. Kye V. Elfving AI4CE 74 1 0 14 Dec 2022
Physics-informed MTA-UNet: Prediction of Thermal Stress and Thermal Deformation of Satellites Zeyu Cao Wenjuan Yao Wei Peng Xiaoya Zhang K. Bao AI4CE 88 12 0 01 Sep 2022
$Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN)$ Optical Diffraction Tomography based on 3D Physics-Inspired Neural Network (PINN) Ahmed B. Ayoub Amirhossein Saba Carlo Gigli D. Psaltis 21 2 0 10 Jun 2022
A physics and data co-driven surrogate modeling approach for temperature field prediction on irregular geometric domain K. Bao Wenjuan Yao Xiaoya Zhang Wei Peng Yu Li AI4CE 70 10 0 15 Mar 2022
Heat Conduction Plate Layout Optimization using Physics-driven Convolutional Neural Networks Hao Ma Yang-Tian Sun M. Chiarelli 35 2 0 21 Jan 2022
Stacked Generative Machine Learning Models for Fast Approximations of Steady-State Navier-Stokes Equations Shen Wang M. Nikfar Joshua C. Agar Yaling Liu PINN DiffM AI4CE 42 3 0 13 Dec 2021
Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC Felix Bünning B. Huber Adrian Schalbetter Ahmed Aboudonia Mathias Hudoba de Badyn Philipp Heer Roy S. Smith John Lygeros AI4CE 54 67 0 29 Oct 2021
Deep learning approaches to surrogates for solving the diffusion equation for mechanistic real-world simulations J. Q. Toledo-Marín Geoffrey C. Fox J. Sluka J. Glazier MedIm AI4CE 69 8 0 10 Feb 2021
Graph Convolutional Neural Networks for Body Force Prediction Francis Ogoke Kazem Meidani Amirreza Hashemi A. Farimani GNN AI4CE 43 62 0 03 Dec 2020
DiffusionNet: Accelerating the solution of Time-Dependent partial differential equations using deep learning M. Asem AI4CE 20 2 0 19 Nov 2020
Data-driven Identification of 2D Partial Differential Equations using extracted physical features Kazem Meidani A. Farimani 59 17 0 20 Oct 2020
Kohn-Sham equations as regularizer: building prior knowledge into machine-learned physics Li Li Stephan Hoyer Ryan Pederson Ruoxi Sun E. D. Cubuk Patrick F. Riley K. Burke AI4CE 94 124 0 17 Sep 2020
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks Hao Ma Xiangyu Y. Hu Yuxuan Zhang Nils Thuerey O. Haidn AI4CE 46 12 0 16 May 2020
Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems J. Willard X. Jia Shaoming Xu M. Steinbach Vipin Kumar AI4CE 158 414 0 10 Mar 2020
Solving the Reaction-Diffusion equation based on analytical methods and deep learning algorithm; the Case study of sulfate attack to concrete Amin Karimi Monsefi Rana Bakhtiyarzade 13 0 0 07 Dec 2019
Learning Neural PDE Solvers with Convergence Guarantees Jun-Ting Hsieh Shengjia Zhao Stephan Eismann L. Mirabella Stefano Ermon AI4CE 89 145 0 04 Jun 2019
Deep-learning PDEs with unlabeled data and hardwiring physics laws S. M. H. Hashemi D. Psaltis AI4CE 17 4 0 13 Apr 2019
Introducing a Generative Adversarial Network Model for Lagrangian Trajectory Simulation Jingwei Gan Pai Liu R. Chakrabarty GAN 18 0 0 13 Jan 2019
Variational Autoencoding the Lagrangian Trajectories of Particles in a Combustion System Pai Liu Jingwei Gan R. Chakrabarty GAN DRL 3DV 22 3 0 29 Nov 2018