Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 299 papers shown

Title
PAPM: A Physics-aware Proxy Model for Process Systems Pengwei Liu Zhongkai Hao Xingyu Ren Hangjie Yuan Jiayang Ren Dong Ni AI4CE PINN 45 0 0 07 Jul 2024
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs Hrishikesh Viswanath Yue Chang Julius Berner Julius Berner Peter Yichen Chen Aniket Bera AI4CE 63 2 0 04 Jul 2024
Generative prediction of flow fields around an obstacle using the diffusion model Jiajun Hu Zhen Lu Yue Yang AI4CE 37 2 0 30 Jun 2024
AI for Extreme Event Modeling and Understanding: Methodologies and Challenges Gustau Camps-Valls Miguel-Ángel Fernández-Torres Kai-Hendrik Cohrs Adrian Höhl A. Castelletti ... S. Salcedo-Sanz S. Sippel Spyros Kondylatos Tamara Happé T. Williams 37 0 0 28 Jun 2024
Advancing operational PM2.5 forecasting with dual deep neural networks (D-DNet) Shengjuan Cai Fangxin Fang V. Peuch Mihai Alexe I. M. Navon Yanghua Wang AI4Cl AI4CE 30 0 0 27 Jun 2024
ChatGPT as Research Scientist: Probing GPT's Capabilities as a Research Librarian, Research Ethicist, Data Generator and Data Predictor Steven A. Lehr Aylin Caliskan Suneragiri Liyanage M. Banaji 56 25 0 20 Jun 2024
Translation Equivariant Transformer Neural Processes Matthew Ashman Cristiana-Diana Diaconu Junhyuck Kim Lakee Sivaraya Stratis Markou James Requeima W. Bruinsma Richard E. Turner 46 4 0 18 Jun 2024
Neural Approximate Mirror Maps for Constrained Diffusion Models Berthy Feng Ricardo Baptista Katherine Bouman MedIm DiffM 48 3 0 18 Jun 2024
Unfolding Time: Generative Modeling for Turbulent Flows in 4D Abdullah Saydemir Marten Lienen Stephan Günnemann AI4CE DiffM 40 1 0 17 Jun 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous Yogesh Verma Amauri H Souza Vikas K. Garg AI4CE 46 4 0 05 Jun 2024
Neural Green's Operators for Parametric Partial Differential Equations Hugo Melchers Joost Prins Michael Abdelmalik 58 3 0 04 Jun 2024
Reference Neural Operators: Learning the Smooth Dependence of Solutions of PDEs on Geometric Deformations Ze Cheng Zhongkai Hao Xiaoqiang Wang Jianing Huang Youjia Wu Xudan Liu Yiru Zhao Songming Liu Hang Su AI4CE 40 2 0 27 May 2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao Francesco Brarda Ruipeng Li Yuanzhe Xi 44 0 0 27 May 2024
Graph Neural PDE Solvers with Conservation and Similarity-Equivariance Masanobu Horie Naoto Mitsume AI4CE 40 5 0 25 May 2024
Reducing Spatial Discretization Error on Coarse CFD Simulations Using an OpenFOAM-Embedded Deep Learning Framework Jesus Gonzalez-Sieiro David Pardo Vincenzo Nava V. M. Calo Markus Towara AI4CE 32 1 0 13 May 2024
Stabilizing Backpropagation Through Time to Learn Complex Physics Patrick Schnell Nils Thuerey 35 2 0 03 May 2024
A Hybrid Kernel-Free Boundary Integral Method with Operator Learning for Solving Parametric Partial Differential Equations In Complex Domains Shuo Ling Liwei Tan Wenjun Ying 23 0 0 23 Apr 2024
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs Yogesh Verma Markus Heinonen Vikas K. Garg AI4CE 33 26 0 15 Apr 2024
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations Xuan Zhang Jacob Helwig Yu-Ching Lin Yaochen Xie Cong Fu Stephan Wojtowytsch Shuiwang Ji AI4CE 37 6 0 28 Mar 2024
UPS: Efficiently Building Foundation Models for PDE Solving via Cross-Modal Adaptation Junhong Shen Tanya Marwah Ameet Talwalkar AI4CE 44 4 0 11 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework Artur P. Toshev Harish D. Ramachandran Jonas A. Erbesdobler Gianluca Galletti Johannes Brandstetter Nikolaus A. Adams 46 7 0 07 Mar 2024
SuperdropNet: a Stable and Accurate Machine Learning Proxy for Droplet-based Cloud Microphysics Shivani Sharma David Greenberg 19 2 0 28 Feb 2024
Inpainting Computational Fluid Dynamics with Deep Learning Dule Shu Wilson Zhen Zijie Li A. Farimani AI4CE 39 0 0 27 Feb 2024
Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning Wuyang Chen Jialin Song Pu Ren Shashank Subramanian Dmitriy Morozov Michael W. Mahoney AI4CE 52 9 0 24 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 48 8 0 19 Feb 2024
Multi-Level GNN Preconditioner for Solving Large Scale Problems Matthieu Nastorg J. Gratien T. Faney M. Bucci Guillaume Charpiat Marc Schoenauer AI4CE 19 1 0 13 Feb 2024
Rolling Diffusion Models David Ruhe Jonathan Heek Tim Salimans Emiel Hoogeboom DiffM 35 32 0 12 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics Artur P. Toshev Jonas A. Erbesdobler Nikolaus A. Adams Johannes Brandstetter AI4CE 46 4 0 09 Feb 2024
Real-World Fluid Directed Rigid Body Control via Deep Reinforcement Learning Mohak Bhardwaj Thomas Lampe Michael Neunert Francesco Romano A. Abdolmaleki Arunkumar Byravan Markus Wulfmeier Martin Riedmiller J. Buchli AI4CE 25 1 0 08 Feb 2024
JAX-Fluids 2.0: Towards HPC for Differentiable CFD of Compressible Two-phase Flows Deniz A. Bezgin Aaron B. Buhendwa Nikolaus A. Adams 15 9 0 07 Feb 2024
DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems Yair Schiff Zhong Yi Wan Jeffrey B. Parker Stephan Hoyer Volodymyr Kuleshov Fei Sha Leonardo Zepeda-Núñez 36 12 0 06 Feb 2024
Efficient Numerical Wave Propagation Enhanced By An End-to-End Deep Learning Model Luis Kaiser Richard Tsai Christian Klingenberg 22 1 0 04 Feb 2024
LatticeGraphNet: A two-scale graph neural operator for simulating lattice structures Ayush Jain Ehsan Haghighat Sai Nelaturi AI4CE 26 4 0 01 Feb 2024
Towards a GPU-Parallelization of the neXtSIM-DG Dynamical Core Robert Jendersie C. Lessig Thomas Richter 31 0 0 01 Feb 2024
PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks Sizhuang He Bowen Li Yuhan Chen P. Perdikaris AI4CE PINN 26 29 0 01 Feb 2024
A PNP ion channel deep learning solver with local neural network and finite element input data Hwi Lee Zhen Chao Harris Cobb Yingjie Liu Dexuan Xie 14 0 0 31 Jan 2024
PDE Generalization of In-Context Operator Networks: A Study on 1D Scalar Nonlinear Conservation Laws Liu Yang Stanley J. Osher AI4CE 48 18 0 14 Jan 2024
DiffHybrid-UQ: Uncertainty Quantification for Differentiable Hybrid Neural Modeling Deepak Akhare Tengfei Luo Jian-Xun Wang 27 6 0 30 Dec 2023
Operator learning for hyperbolic partial differential equations Christopher Wang Alex Townsend 39 2 0 29 Dec 2023
Fluid Simulation on Neural Flow Maps Yitong Deng Hong-Xing Yu Diyang Zhang Jiajun Wu Bo Zhu AI4CE 27 21 0 22 Dec 2023
Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh Transformer Youn-Yeol Yu Jeongwhan Choi Woojin Cho Kookjin Lee Nayong Kim ... Ilho Kim Seok-Woo Lee Joon Young Yang S. Yoon Noseong Park AI4CE 20 7 0 19 Dec 2023
On the locality of local neural operator in learning fluid dynamics Ximeng Ye Hongyu Li Jingjie Huang Guoliang Qin AI4CE 39 8 0 15 Dec 2023
Learning 3D Particle-based Simulators from RGB-D Videos William F. Whitney Tatiana López-Guevara Tobias Pfaff Yulia Rubanova Thomas Kipf Kimberly L. Stachenfeld Kelsey R. Allen VGen 30 11 0 08 Dec 2023
Neural Spectral Methods: Self-supervised learning in the spectral domain Yiheng Du N. Chalapathi Aditi Krishnapriyan 22 6 0 08 Dec 2023
Extreme Event Prediction with Multi-agent Reinforcement Learning-based Parametrization of Atmospheric and Oceanic Turbulence R. Mojgani Daniel Waelchli Yifei Guan Petros Koumoutsakos P. Hassanzadeh AI4Cl AI4CE 25 5 0 01 Dec 2023
Deep Equilibrium Based Neural Operators for Steady-State PDEs Tanya Marwah Ashwini Pokle J. Zico Kolter Zachary Chase Lipton Jianfeng Lu Andrej Risteski 31 8 0 30 Nov 2023
XLB: A differentiable massively parallel lattice Boltzmann library in Python Mohammadmehdi Ataei H. Salehipour AI4CE 30 13 0 27 Nov 2023
Finite Volume Features, Global Geometry Representations, and Residual Training for Deep Learning-based CFD Simulation Loh Sher En Jessica Naheed Anjum Arafat Wei Xian Lim Wai Lee Chan A. W. Kong AI4CE 22 2 0 24 Nov 2023
Neural-Integrated Meshfree (NIM) Method: A differentiable programming-based hybrid solver for computational mechanics Honghui Du QiZhi He AI4CE 60 5 0 21 Nov 2023
Detecting subtle macroscopic changes in a finite temperature classical scalar field with machine learning Jiming Yang Yutong Zheng Jiahong Zhou Huiyu Li Jun Yin AI4CE 13 0 0 21 Nov 2023