Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow

27 February 2018

Papers citing "Latent-space Physics: Towards Learning the Temporal Evolution of Fluid Flow"

50 / 63 papers shown

Title
FluidNexus: 3D Fluid Reconstruction and Prediction from a Single Video Yue Gao Hong-Xing Yu Bo Zhu Jiajun Wu VGen 71 1 0 06 Mar 2025
Mamba Neural Operator: Who Wins? Transformers vs. State-Space Models for PDEs Chun-Wun Cheng Jiahao Huang Yi Zhang Guang Yang Carola-Bibiane Schonlieb Angelica I Aviles-Rivero Mamba AI4CE 93 3 0 03 Oct 2024
End-to-End Mesh Optimization of a Hybrid Deep Learning Black-Box PDE Solver Shaocong Ma James Diffenderfer B. Kailkhura Yi Zhou AI4CE 50 0 0 17 Apr 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations Zijie Li Saurabh Patil Francis Ogoke Dule Shu Wilson Zhen Michael Schneier John R. Buchanan A. Farimani AI4CE 45 5 0 27 Feb 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators Benedikt Alkin Andreas Fürst Simon Schmid Lukas Gruber Markus Holzleitner Johannes Brandstetter PINN AI4CE 53 8 0 19 Feb 2024
Inferring Hybrid Neural Fluid Fields from Videos Hong-Xing Yu Yang Zheng Yuan Gao Yitong Deng Bo Zhu Jiajun Wu 3DH 29 15 0 11 Dec 2023
Differentiable Visual Computing for Inverse Problems and Machine Learning Andrew Spielberg Fangcheng Zhong Konstantinos Rematas Krishna Murthy Jatavallabhula Cengiz Öztireli Tzu-Mao Li Derek Nowrouzezahrai 51 7 0 21 Nov 2023
Hierarchical deep learning-based adaptive time-stepping scheme for multiscale simulations Asif Hamid Danish Rafiq S. A. Nahvi M. A. Bazaz AI4CE 47 1 0 10 Nov 2023
SURF: A Generalization Benchmark for GNNs Predicting Fluid Dynamics Stefan Künzli Florian Grötschla Joël Mathys Roger Wattenhofer AI4CE 28 0 0 30 Oct 2023
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Julius Berner Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 26 7 0 24 Oct 2023
Embedding stochastic differential equations into neural networks via dual processes Naoki Sughishita Jun Ohkubo 17 1 0 08 Jun 2023
Stability of implicit neural networks for long-term forecasting in dynamical systems Léon Migus J. Salomon Patrick Gallinari AI4TS AI4CE 28 1 0 26 May 2023
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts Pantelis R. Vlachas Petros Koumoutsakos AI4TS AI4CE 23 7 0 22 Feb 2023
An Implicit GNN Solver for Poisson-like problems Matthieu Nastorg M. Bucci T. Faney J. Gratien Guillaume Charpiat Marc Schoenauer AI4CE 36 2 0 06 Feb 2023
Learning Vortex Dynamics for Fluid Inference and Prediction Yitong Deng Hong-Xing Yu Jiajun Wu Bo Zhu MDE 37 19 0 27 Jan 2023
CIMS: Correction-Interpolation Method for Smoke Simulation Yun-Hwa Lee Dohae Lee Young-Jin Oh In-Kwon Lee 22 0 0 28 Dec 2022
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction Dule Shu Zijie Li A. Farimani DiffM AI4CE 35 126 0 26 Nov 2022
DS-GPS : A Deep Statistical Graph Poisson Solver (for faster CFD simulations) Matthieu Nastorg Marc Schoenauer Guillaume Charpiat T. Faney J. Gratien M. Bucci 22 2 0 21 Nov 2022
Parameter-varying neural ordinary differential equations with partition-of-unity networks Kookjin Lee N. Trask 30 2 0 01 Oct 2022
IDLat: An Importance-Driven Latent Generation Method for Scientific Data Jingyi Shen Haoyu Li Jiayi Xu Ayan Biswas Han-Wei Shen MedIm DiffM 35 6 0 05 Aug 2022
Transformer for Partial Differential Equations' Operator Learning Zijie Li Kazem Meidani A. Farimani 47 145 0 26 May 2022
Towards Fast Simulation of Environmental Fluid Mechanics with Multi-Scale Graph Neural Networks Mario Lino Stathi Fotiadis Anil A. Bharath C. Cantwell AI4CE 14 12 0 05 May 2022
Predicting Real-time Scientific Experiments Using Transformer models and Reinforcement Learning J. M. Parrilla-Gutierrez AI4CE 24 0 0 25 Apr 2022
DL4SciVis: A State-of-the-Art Survey on Deep Learning for Scientific Visualization Chaoli Wang J. Han 41 36 0 13 Apr 2022
An AI-based Domain-Decomposition Non-Intrusive Reduced-Order Model for Extended Domains applied to Multiphase Flow in Pipes Claire E. Heaney Zef Wolffs Jón Atli Tómasson L. Kahouadji P. Salinas A. Nicolle Omar K. Matar Ionel M. Navon N. Srinil Christopher C. Pain AI4CE 29 21 0 13 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 18 10 0 11 Feb 2022
Tutorial on amortized optimization Brandon Amos OffRL 78 43 0 01 Feb 2022
Latent Space Simulation for Carbon Capture Design Optimization Brian Bartoldson Rui Wang Yu-Hang Fu David Widemann Sam Nguyen J. Bao Zhijie Xu Brenda Ng 30 3 0 22 Dec 2021
Learning quantum dynamics with latent neural ODEs M. Choi Daniel Flam-Shepherd T. Kyaw A. Aspuru‐Guzik BDL AI4CE 34 5 0 20 Oct 2021
Model reduction for the material point method via an implicit neural representation of the deformation map Julius Berner Maurizio M. Chiaramonte E. Grinspun Kevin Carlberg 29 15 0 25 Sep 2021
Performance and accuracy assessments of an incompressible fluid solver coupled with a deep Convolutional Neural Network Ekhi Ajuria Illarramendi M. Bauerheim B. Cuenot 33 19 0 20 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 46 65 0 02 Jul 2021
Physics perception in sloshing scenes with guaranteed thermodynamic consistency B. Moya Alberto Badías D. González Francisco Chinesta Elías Cueto 35 14 0 24 Jun 2021
Symplectic Learning for Hamiltonian Neural Networks M. David Florian Méhats 24 36 0 22 Jun 2021
Learning to Optimize: A Primer and A Benchmark Tianlong Chen Xiaohan Chen Wuyang Chen Howard Heaton Jialin Liu Zhangyang Wang W. Yin 54 225 0 23 Mar 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 24 1 0 19 Mar 2021
Multi-objective discovery of PDE systems using evolutionary approach M. Maslyaev A. Hvatov 23 5 0 11 Mar 2021
Data-driven Identification of 2D Partial Differential Equations using extracted physical features Kazem Meidani A. Farimani 21 17 0 20 Oct 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 22 84 0 15 Sep 2020
Bridging the Gap: Machine Learning to Resolve Improperly Modeled Dynamics Maan Qraitem D. Kularatne Eric Forgoston M. A. Hsieh AI4CE 31 10 0 23 Aug 2020
An autoencoder-based reduced-order model for eigenvalue problems with application to neutron diffusion Toby R. F. Phillips Claire E. Heaney Paul N. Smith Christopher C. Pain 34 57 0 15 Aug 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 31 225 0 08 Jul 2020
Reconstruction of turbulent data with deep generative models for semantic inpainting from TURB-Rot database M. Buzzicotti F. Bonaccorso P. C. D. Leoni Luca Biferale AI4CE 28 51 0 16 Jun 2020
Multi-fidelity Generative Deep Learning Turbulent Flows N. Geneva N. Zabaras AI4CE 21 44 0 08 Jun 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 36 37 0 02 May 2020
Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow S. Wiewel Byungsoo Kim Vinicius Azevedo B. Solenthaler Nils Thuerey AI4CE 24 34 0 12 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 53 1,054 0 21 Feb 2020
Dynamic Upsampling of Smoke through Dictionary-based Learning Kai-Yi Bai Wei Li M. Desbrun Xiaopei Liu AI4CE 26 27 0 21 Oct 2019
Realtime Simulation of Thin-Shell Deformable Materials using CNN-Based Mesh Embedding Qingyang Tan Zherong Pan Lin Gao Tianyi Zhou AI4CE 19 22 0 26 Sep 2019
Statistical and machine learning ensemble modelling to forecast sea surface temperature Stefan Wolff Fearghal O'Donncha Bei Chen AI4Cl 19 73 0 18 Sep 2019