Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 298 papers shown

Title
CodePDE: An Inference Framework for LLM-driven PDE Solver Generation Shanda Li Tanya Marwah Junhong Shen W. Sun Andrej Risteski Yiming Yang Ameet Talwalkar AI4CE 29 0 0 13 May 2025
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan Rui Zhang Qi Wang Y. Liu Hao Sun PINN 35 0 0 03 May 2025
Multi-level datasets training method in Physics-Informed Neural Networks Yao-Hsuan Tsai Hsiao-Tung Juan Pao-Hsiung Chiu Chao-An Lin AI4CE 34 0 0 30 Apr 2025
DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction Rudy Morel Jiequn Han Edouard Oyallon AI4CE 51 0 0 28 Apr 2025
LBM-GNN: Graph Neural Network Enhanced Lattice Boltzmann Method Yue Li 24 0 0 20 Apr 2025
Optimal Lattice Boltzmann Closures through Multi-Agent Reinforcement Learning Paul Fischer Sebastian Kaltenbach Sergey Litvinov Sauro Succi P. Koumoutsakos AI4CE 21 0 0 19 Apr 2025
Generative emulation of chaotic dynamics with coherent prior Juan Nathaniel Pierre Gentine AI4TS AI4CE 28 0 0 19 Apr 2025
PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows Huaguan Chen Yang Liu Hao Sun PINN AI4CE 46 0 0 08 Apr 2025
Hybrid machine learning data assimilation for marine biogeochemistry Ieuan Higgs Ross Bannister Jozef Skákala Alberto Carrassi Stefano Ciavatta AI4Cl AI4CE 19 0 0 07 Apr 2025
Implicit Neural Differential Model for Spatiotemporal Dynamics Deepak Akhare P. Du Tengfei Luo Jian-Xun Wang PINN AI4CE 46 0 0 03 Apr 2025
Towards scientific machine learning for granular material simulations -- challenges and opportunities Marc Fransen Andreas Fürst D. Tunuguntla Daniel N. Wilke Benedikt Alkin ... Takayuki Shuku WaiChing Sun T. Weinhart Dongwei Ye Hongyang Cheng AI4CE 29 0 0 01 Apr 2025
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos Chris Pedersen L. Zanna Joan Bruna 43 1 0 24 Mar 2025
Learning Distributions of Complex Fluid Simulations with Diffusion Graph Networks Mario Lino Tobias Pfaff Nils Thuerey DiffM AI4CE 39 3 0 19 Mar 2025
3D Occupancy Prediction with Low-Resolution Queries via Prototype-aware View Transformation Gyeongrok Oh Sungjune Kim Heeju Ko Hyung-Gun Chi J. Kim Dongwook Lee Daehyun Ji Sungjoon Choi Sujin Jang Sangpil Kim 36 0 0 19 Mar 2025
PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Spatiotemporal Prediction Han Wan Qi Wang Hao Sun Hao Sun AI4CE 46 0 0 13 Mar 2025
Learning second-order TVD flux limiters using differentiable solvers Chenyang Huang Amal S Sebastian Venkatasubramanian Viswanathan 53 0 0 11 Mar 2025
A Deep-Learning Iterative Stacked Approach for Prediction of Reactive Dissolution in Porous Media Marcos Cirne Hannah Menke A. Abdellatif Julien Maes Florian Doster A. Elsheikh AI4CE 52 0 0 11 Mar 2025
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models Xingzhuo Guo Yu Zhang Baixu Chen Haoran Xu J. Z. Wang Mingsheng Long DiffM AI4TS 29 1 0 02 Mar 2025
PRDP: Progressively Refined Differentiable Physics Kanishk Bhatia Felix Koehler Nils Thuerey AI4CE 59 0 0 26 Feb 2025
MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation Qi Wang Yuan Mi H. Wang Yi Zhang Ruizhi Chengze Hongsheng Liu J. Wen Hao Sun AI4CE 38 0 0 28 Jan 2025
Neural equilibria for long-term prediction of nonlinear conservation laws Jose Antonio Lara Benitez Junyi Guo Kareem Hegazy Ivan Dokmanić Michael W. Mahoney Maarten V. de Hoop 33 0 0 12 Jan 2025
Data-Efficient Inference of Neural Fluid Fields via SciML Foundation Model Yuqiu Liu Jingxuan Xu Mauricio Soroco Yunchao Wei Wuyang Chen AI4CE 72 2 0 18 Dec 2024
On the Boundary Feasibility for PDE Control with Neural Operators Hanjiang Hu Changliu Liu AI4CE 64 1 0 23 Nov 2024
ACE2: Accurately learning subseasonal to decadal atmospheric variability and forced responses Oliver Watt-Meyer Brian Henn Jeremy McGibbon Spencer K. Clark Anna Kwa W. Perkins E. Wu L. Harris Christopher S. Bretherton AI4Cl 88 11 0 18 Nov 2024
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows Benedikt Alkin Tobias Kronlachner Samuele Papa Stefan Pirker Thomas Lichtenegger Johannes Brandstetter PINN AI4CE 38 1 1 14 Nov 2024
Compositional simulation-based inference for time series Manuel Gloeckler S. Toyota Kenji Fukumizu Jakob H Macke 37 1 0 05 Nov 2024
Projected Neural Differential Equations for Learning Constrained Dynamics Alistair J R White Anna Buttner Maximilian Gelbrecht Valentin Duruisseaux Niki Kilbertus Frank Hellmann Niklas Boers 39 0 0 31 Oct 2024
P $^2$ C $^2$ Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics Qi Wang Pu Ren Hao Zhou Xin-Yang Liu Z. Deng ... Zidong Wang Jian-Xun Wang Ji-Rong_Wen Hao Sun Yang Liu 56 5 0 29 Oct 2024
Using Parametric PINNs for Predicting Internal and External Turbulent Flows Shinjan Ghosh Amit Chakraborty Georgia Olympia Brikis Biswadip Dey 17 1 0 24 Oct 2024
On conditional diffusion models for PDE simulations Aliaksandra Shysheya Cristiana-Diana Diaconu Federico Bergamin P. Perdikaris José Miguel Hernández-Lobato Richard E. Turner Emile Mathieu DiffM 23 5 0 21 Oct 2024
SEA: State-Exchange Attention for High-Fidelity Physics Based Transformers Parsa Esmati Amirhossein Dadashzadeh Vahid Goodarzi Nicolas Larrosa Nicolo Grilli 27 0 0 20 Oct 2024
Improved deep learning of chaotic dynamical systems with multistep penalty losses Dibyajyoti Chakraborty Seung Whan Chung Ashesh Chattopadhyay R. Maulik AI4CE 24 1 0 08 Oct 2024
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 85 2 0 03 Oct 2024
Scalable and Consistent Graph Neural Networks for Distributed Mesh-based Data-driven Modeling Shivam Barwey Riccardo Balin Bethany Lusch Saumil Patel Ramesh Balakrishnan Pinaki Pal R. Maulik V. Vishwanath GNN AI4CE 26 1 0 02 Oct 2024
Stability analysis of chaotic systems in latent spaces Elise Özalp Luca Magri 23 3 0 01 Oct 2024
Fourier neural operators for spatiotemporal dynamics in two-dimensional turbulence M. Atif Pulkit Dubey Pratik P. Aghor Vanessa Lopez-Marrero Tao Zhang ... Fan Yang Foluso Ladeinde Yangang Liu Meifeng Lin Lingda Li AI4CE 26 2 0 23 Sep 2024
Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer Andres Cremades S. Hoyas Ricardo Vinuesa FAtt 19 9 0 18 Sep 2024
Rational-WENO: A lightweight, physically-consistent three-point weighted essentially non-oscillatory scheme S. Shahane Sheide Chammas Deniz A. Bezgin Aaron B. Buhendwa Steffen J. Schmidt ... Spencer H. Bryngelson Yi-Fan Chen Qing Wang Fei Sha Leonardo Zepeda-Núnez 25 1 0 13 Sep 2024
Mesh-based Super-Resolution of Fluid Flows with Multiscale Graph Neural Networks Shivam Barwey Pinaki Pal Saumil Patel Riccardo Balin Bethany Lusch V. Vishwanath R. Maulik R. Balakrishnan AI4CE 99 0 0 12 Sep 2024
Up-sampling-only and Adaptive Mesh-based GNN for Simulating Physical Systems Fu Lin Jiasheng Shi Shijie Luo Qinpei Zhao Weixiong Rao Lei Chen AI4CE 27 0 0 07 Sep 2024
Advancing Machine Learning in Industry 4.0: Benchmark Framework for Rare-event Prediction in Chemical Processes Vikram Sudarshan Warren D. Seider 40 1 0 31 Aug 2024
Accelerating the discovery of steady-states of planetary interior dynamics with machine learning Siddhant Agarwal Nicola Tosi Christian Huttig David S. Greenberg A. Bekar AI4CE 20 1 0 30 Aug 2024
Spectrally Informed Learning of Fluid Flows Benjamin D. Shaffer Jeremy R. Vorenberg M. A. Hsieh AI4CE 14 0 0 26 Aug 2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations Sheel Nidhan Haoliang Jiang Lalit Ghule C. Umphrey Rishikesh Ranade Jay Pathak AI4CE 34 0 0 26 Aug 2024
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics Robin Schmöcker Alexander Henkes Julian Roth Thomas Wick AI4CE 30 1 0 12 Aug 2024
HPAC-ML: A Programming Model for Embedding ML Surrogates in Scientific Applications Zane Fink K. Parasyris Praneet Rathi Giorgis Georgakoudis Harshitha Menon P. Bremer SyDa 20 0 0 25 Jul 2024
Separable Operator Networks Xinling Yu S. Hooten Z. Liu Yequan Zhao M. Fiorentino T. Van Vaerenbergh Zheng-Wei Zhang 41 4 0 15 Jul 2024
Physics-embedded Fourier Neural Network for Partial Differential Equations Qingsong Xu Nils Thuerey Yilei Shi Jonathan Bamber Chaojun Ouyang Xiao Xiang Zhu AI4CE 29 0 0 15 Jul 2024
Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations N. McGreivy Ammar Hakim AI4CE 29 42 0 09 Jul 2024
PAPM: A Physics-aware Proxy Model for Process Systems Pengwei Liu Zhongkai Hao Xingyu Ren Hangjie Yuan Jiayang Ren Dong Ni AI4CE PINN 40 0 0 07 Jul 2024