Machine learning accelerated computational fluid dynamics

28 January 2021

Papers citing "Machine learning accelerated computational fluid dynamics"

50 / 298 papers shown

Title
Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process Deepak Akhare Zeping Chen R. Gulotty Tengfei Luo Jian-Xun Wang AI4CE 19 5 0 13 Nov 2023
Neural Network Methods for Radiation Detectors and Imaging S. Lin S. Ning H. Zhu T. Zhou C. L. Morris S. Clayton M. Cherukara R. T. Chen Z. Wang AI4CE 24 5 0 09 Nov 2023
Lie Point Symmetry and Physics Informed Networks Tara Akhound-Sadegh Laurence Perreault Levasseur Johannes Brandstetter Max Welling Siamak Ravanbakhsh PINN 29 9 0 07 Nov 2023
Gradient-free online learning of subgrid-scale dynamics with neural emulators Hugo Frezat Ronan Fablet G. Balarac Julien Le Sommer 19 4 0 30 Oct 2023
Enhancing Low-Order Discontinuous Galerkin Methods with Neural Ordinary Differential Equations for Compressible Navier--Stokes Equations Shinhoo Kang Emil M. Constantinescu AI4CE 17 0 0 29 Oct 2023
Physics-informed neural network for acoustic resonance analysis in a one-dimensional acoustic tube Kazuya Yokota Takahiko Kurahashi Masajiro Abe 11 5 0 18 Oct 2023
Uncovering wall-shear stress dynamics from neural-network enhanced fluid flow measurements Esther Lagemann Steven L. Brunton Christian Lagemann 19 4 0 17 Oct 2023
MgNO: Efficient Parameterization of Linear Operators via Multigrid Juncai He Xinliang Liu Jinchao Xu 29 19 0 16 Oct 2023
Improving Pseudo-Time Stepping Convergence for CFD Simulations With Neural Networks Anouk Zandbergen T. Noorden Alexander Heinlein 21 1 0 10 Oct 2023
Learning to Predict Structural Vibrations J. V. Delden Julius Schultz Christopher Blech Sabine C. Langer Timo Luddecke AI4CE 21 1 0 09 Oct 2023
Randomized Sparse Neural Galerkin Schemes for Solving Evolution Equations with Deep Networks Jules Berman Benjamin Peherstorfer 16 13 0 07 Oct 2023
Multiple Physics Pretraining for Physical Surrogate Models Michael McCabe Bruno Régaldo-Saint Blancard Liam Parker Ruben Ohana M. Cranmer ... Francois Lanusse Mariel Pettee Tiberiu Teşileanu Kyunghyun Cho Shirley Ho PINN AI4CE 23 51 0 04 Oct 2023
Machine Learning-Enabled Precision Position Control and Thermal Regulation in Advanced Thermal Actuators Seyed M. Mirvakili Ehsan Haghighat Douglas Sim AI4CE 23 0 0 04 Oct 2023
Physics-Preserving AI-Accelerated Simulations of Plasma Turbulence Thorsten Glüsenkamp Frank Jenko Nils Thuerey AI4CE 32 4 0 28 Sep 2023
High Throughput Training of Deep Surrogates from Large Ensemble Runs Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin AI4CE 17 5 0 28 Sep 2023
OceanBench: The Sea Surface Height Edition J. E. Johnson Q. Febvre Anastasia Gorbunova Sammy Metref M. Ballarotta Julien Le Sommer Ronan Fablet 33 2 0 27 Sep 2023
Neural Operators for Accelerating Scientific Simulations and Design Kamyar Azzizadenesheli Nikola B. Kovachki Zong-Yi Li Miguel Liu-Schiaffini Jean Kossaifi Anima Anandkumar AI4CE 29 121 0 27 Sep 2023
Deep learning probability flows and entropy production rates in active matter Nicholas M. Boffi Eric Vanden-Eijnden DiffM 17 16 0 22 Sep 2023
CFDBench: A Large-Scale Benchmark for Machine Learning Methods in Fluid Dynamics Yining Luo Yingfa Chen Zhen Zhang AI4CE 23 8 0 13 Sep 2023
Photonic Structures Optimization Using Highly Data-Efficient Deep Learning: Application To Nanofin And Annular Groove Phase Masks Nicolas Roy L. König O. Absil Charlotte Beauthier Alexandre Mayer M. Lobet 14 0 0 05 Sep 2023
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation Georg Kohl Li-Wei Chen Nils Thuerey AI4CE DiffM 34 22 0 04 Sep 2023
Efficient Surrogate Models for Materials Science Simulations: Machine Learning-based Prediction of Microstructure Properties Binh Duong Nguyen Pavlo Potapenko Aytekin Dermici Kishan Govind Sébastien Bompas Stefan Sandfeld AI4CE 11 8 0 01 Sep 2023
JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading Sascha Frey Kang Li Peer Nagy Silvia Sapora Chris Xiaoxuan Lu S. Zohren Jakob N. Foerster Anisoara Calinescu 30 14 0 25 Aug 2023
HyperLoRA for PDEs Ritam Majumdar Vishal Sudam Jadhav A. Deodhar Shirish S. Karande L. Vig Venkataramana Runkana PINN AI4CE 8 1 0 18 Aug 2023
An Expert's Guide to Training Physics-informed Neural Networks Sifan Wang Shyam Sankaran Hanwen Wang P. Perdikaris PINN 28 96 0 16 Aug 2023
PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers Phillip Lippe Bastiaan S. Veeling P. Perdikaris Richard E. Turner Johannes Brandstetter DiffM AI4CE 33 76 0 10 Aug 2023
Fine-Tune Language Models as Multi-Modal Differential Equation Solvers Liu Yang Siting Liu Stanley J. Osher 19 0 0 09 Aug 2023
BubbleML: A Multi-Physics Dataset and Benchmarks for Machine Learning Sheikh Md Shakeel Hassan Arthur Feeney A. Dhruv Jih-Woon Kim Youngjoon Suh Jaiyoung Ryu Y. Won Aparna Chandramowlishwaran AI4CE 8 10 0 27 Jul 2023
Learning to simulate partially known spatio-temporal dynamics with trainable difference operators Xiang Huang Zhuoyuan Li Hongsheng Liu Zidong Wang Hongye Zhou Bin Dong Bei Hua AI4TS AI4CE 27 1 0 26 Jul 2023
Accurate deep learning sub-grid scale models for large eddy simulations Rikhi Bose Anisha Roy 15 10 0 19 Jul 2023
Multi-stage Neural Networks: Function Approximator of Machine Precision Yongjian Wang Ching-Yao Lai 32 36 0 18 Jul 2023
Learning Space-Time Continuous Neural PDEs from Partially Observed States V. Iakovlev Markus Heinonen Harri Lähdesmäki 6 1 0 09 Jul 2023
Differentiable Turbulence: Closure as a partial differential equation constrained optimization Varun Shankar Dibyajyoti Chakraborty V. Viswanathan R. Maulik AI4CE 15 1 0 07 Jul 2023
A probabilistic, data-driven closure model for RANS simulations with aleatoric, model uncertainty A. Agrawal P. Koutsourelakis AI4CE 11 15 0 05 Jul 2023
Training Deep Surrogate Models with Large Scale Online Learning Lucas Meyer M. Schouler R. Caulk Alejandro Ribés Bruno Raffin 3DGS AI4CE 14 4 0 28 Jun 2023
Separable Physics-Informed Neural Networks Junwoo Cho Seungtae Nam Hyunmo Yang S. Yun Youngjoon Hong Eunbyung Park PINN AI4CE 12 41 0 28 Jun 2023
Meta-Learning for Airflow Simulations with Graph Neural Networks Wenzhuo Liu Mouadh Yagoubi Marc Schoenauer AI4CE 19 0 0 18 Jun 2023
Towards Stability of Autoregressive Neural Operators Michael McCabe P. Harrington Shashank Subramanian Jed Brown AI4CE 36 17 0 18 Jun 2023
Score-based Data Assimilation François Rozet Gilles Louppe 35 32 0 18 Jun 2023
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows Shinjan Ghosh Amit Chakraborty Georgia Olympia Brikis Biswadip Dey PINN AI4CE 14 5 0 09 Jun 2023
Group Equivariant Fourier Neural Operators for Partial Differential Equations Jacob Helwig Xuan Zhang Cong Fu Jerry Kurtin Stephan Wojtowytsch Shuiwang Ji AI4CE 47 28 0 09 Jun 2023
Learning Closed-form Equations for Subgrid-scale Closures from High-fidelity Data: Promises and Challenges Karan Jakhar Yifei Guan R. Mojgani A. Chattopadhyay P. Hassanzadeh AI4Cl AI4CE 22 14 0 08 Jun 2023
Uncovering solutions from data corrupted by systematic errors: A physics-constrained convolutional neural network approach Daniel Kelshaw Luca Magri PINN 11 2 0 07 Jun 2023
Origin-Destination Network Generation via Gravity-Guided GAN Can Rong Huandong Wang Yong Li 14 5 0 06 Jun 2023
DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting Salva Rühling Cachay Bo Zhao Hailey James Rose Yu DiffM AI4TS 26 55 0 03 Jun 2023
Neural Ideal Large Eddy Simulation: Modeling Turbulence with Neural Stochastic Differential Equations Anudhyan Boral Z. Y. Wan Leonardo Zepeda-Núnez James Lottes Qing Wang Yi-fan Chen John R. Anderson Fei Sha AI4CE PINN 16 11 0 01 Jun 2023
Fast Dynamic 1D Simulation of Divertor Plasmas with Neural PDE Surrogates Y. Poels G. Derks E. Westerhof Koen Minartz Sven Wiesen Vlado Menkovski 3DGS AI4CE 16 15 0 30 May 2023
From Zero to Turbulence: Generative Modeling for 3D Flow Simulation Marten Lienen David Ludke Jan Hansen-Palmus Stephan Günnemann DiffM AI4CE 16 23 0 29 May 2023
Scalable Transformer for PDE Surrogate Modeling Zijie Li Dule Shu A. Farimani 24 63 0 27 May 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models Z. Y. Wan Ricardo Baptista Yi-fan Chen John R. Anderson Anudhyan Boral Fei Sha Leonardo Zepeda-Núnez DiffM 37 23 0 24 May 2023