Transolver: A Fast Transformer Solver for PDEs on General Geometries

4 February 2024

Papers citing "Transolver: A Fast Transformer Solver for PDEs on General Geometries"

32 / 32 papers shown

Title
PeSANet: Physics-encoded Spectral Attention Network for Simulating PDE-Governed Complex Systems Han Wan Rui Zhang Qi Wang Y. Liu Hao Sun PINN 33 0 0 03 May 2025
A Physics-preserved Transfer Learning Method for Differential Equations Hao-Ran Yang Chuan-Xian Ren 63 0 0 02 May 2025
Attention to Detail: Fine-Scale Feature Preservation-Oriented Geometric Pre-training for AI-Driven Surrogate Modeling Yu-Hsuan Chen Jing Bi Cyril Ngo Ngoc Victor Oancea Jonathan Cagan L. Kara AI4CE 24 0 0 27 Apr 2025
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations Giovanni Catalani Michaël Bauerheim Frédéric Tost Xavier Bertrand Joseph Morlier AI4CE 47 0 0 24 Apr 2025
SUPRA: Subspace Parameterized Attention for Neural Operator on General Domains Zherui Yang Zhengyang Xue Ligang Liu 17 0 0 22 Apr 2025
Generative Latent Neural PDE Solver using Flow Matching Zijie Li Anthony Y. Zhou Amir Barati Farimani DiffM AI4CE 65 0 0 28 Mar 2025
TripNet: Learning Large-scale High-fidelity 3D Car Aerodynamics with Triplane Networks Qian Chen Mohamed Elrefaie Angela Dai Faez Ahmed 3DPC AI4CE 58 1 0 19 Mar 2025
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation Zeyi Xu Jinfan Liu Kuangxu Chen Ye Chen Zhangli Hu Bingbing Ni 52 0 0 13 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
COAST: Intelligent Time-Adaptive Neural Operators Z. Wu Shiyang Zhang Sizhuang He Sifan Wang M. Zhu Anran Jiao Lu Lu David van Dijk 90 1 0 12 Feb 2025
An explainable operator approximation framework under the guideline of Green's function Jianghang Gu Ling Wen Yuntian Chen Shiyi Chen 64 0 0 21 Dec 2024
Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries Zhihao Li H. Song Di Xiao Zhilu Lai Wei Wang AI4CE 83 2 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
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 48 5 0 29 Oct 2024
Model Comparisons: XNet Outperforms KAN Xin Li Zhihong Xia Xiaotao Zheng 32 0 0 02 Oct 2024
Text2PDE: Latent Diffusion Models for Accessible Physics Simulation Anthony Y. Zhou Zijie Li Michael Schneier John R Buchanan Jr Amir Barati Farimani AI4CE DiffM 52 5 0 02 Oct 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 26 4 0 28 Sep 2024
DiffFluid: Plain Diffusion Models are Effective Predictors of Flow Dynamics Dongyu Luo Jianyu Wu Jing Wang Hairun Xie Xiangyu Yue Shixiang Tang DiffM AI4CE 23 0 0 20 Sep 2024
Generalization capabilities of MeshGraphNets to unseen geometries for fluid dynamics Robin Schmöcker Alexander Henkes Julian Roth Thomas Wick AI4CE 19 1 0 12 Aug 2024
Physics-Informed Geometry-Aware Neural Operator Weiheng Zhong Hadi Meidani AI4CE 30 4 0 02 Aug 2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields David M. Knigge David R. Wessels Riccardo Valperga Samuele Papa J. Sonke E. Gavves Erik J. Bekkers AI4CE 28 4 0 10 Jun 2024
AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields Louis Serrano Thomas X. Wang E. L. Naour Jean-Noël Vittaut Patrick Gallinari 19 5 0 04 Jun 2024
Unisolver: PDE-Conditional Transformers Are Universal PDE Solvers Zhou Hang Yuezhou Ma Haixu Wu Haowen Wang Mingsheng Long AI4CE 34 8 0 27 May 2024
DrivAerNet: A Parametric Car Dataset for Data-Driven Aerodynamic Design and Prediction Mohamed Elrefaie Angela Dai Faez Ahmed DiffM AI4CE 46 9 0 12 Mar 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 35 8 0 19 Feb 2024
Solving High-Dimensional PDEs with Latent Spectral Models Haixu Wu Tengge Hu Huakun Luo Jianmin Wang Mingsheng Long AI4CE 57 36 0 30 Jan 2023
Fourier Neural Operator with Learned Deformations for PDEs on General Geometries Zong-Yi Li Daniel Zhengyu Huang Burigede Liu Anima Anandkumar AI4CE 108 243 0 11 Jul 2022
Patches Are All You Need? Asher Trockman J. Zico Kolter ViT 214 395 0 24 Jan 2022
Multiwavelet-based Operator Learning for Differential Equations Gaurav Gupta Xiongye Xiao P. Bogdan 124 198 0 28 Sep 2021
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,254 0 18 Oct 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 13,886 0 02 Dec 2016
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 231 3,202 0 24 Nov 2016