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Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators

19 February 2024
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
    PINN
    AI4CE
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Papers citing "Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators"

17 / 17 papers shown
Title
Vision-LSTM: xLSTM as Generic Vision Backbone
Vision-LSTM: xLSTM as Generic Vision Backbone
Benedikt Alkin
M. Beck
Korbinian Poppel
Sepp Hochreiter
Johannes Brandstetter
VLM
58
43
0
24 Feb 2025
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
NeuralDEM -- Real-time Simulation of Industrial Particulate Flows
Benedikt Alkin
Tobias Kronlachner
Samuele Papa
Stefan Pirker
Thomas Lichtenegger
Johannes Brandstetter
PINN
AI4CE
50
1
1
14 Nov 2024
DamFormer: Generalizing Morphologies in Dam Break Simulations Using
  Transformer Model
DamFormer: Generalizing Morphologies in Dam Break Simulations Using Transformer Model
Zhaoyang Mul
Aoming Liang
Mingming Ge
Dashuai Chen
Dixia Fan
Minyi Xu
AI4CE
26
0
0
17 Oct 2024
Micrometer: Micromechanics Transformer for Predicting Mechanical
  Responses of Heterogeneous Materials
Micrometer: Micromechanics Transformer for Predicting Mechanical Responses of Heterogeneous Materials
Sifan Wang
Tong-Rui Liu
Shyam Sankaran
P. Perdikaris
AI4CE
42
3
0
23 Sep 2024
Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
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
32
5
0
27 Feb 2024
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur P. Toshev
Jonas A. Erbesdobler
Nikolaus A. Adams
Johannes Brandstetter
AI4CE
40
4
0
09 Feb 2024
HAMLET: Graph Transformer Neural Operator for Partial Differential
  Equations
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin
Jiahao Huang
Zhongying Deng
Guang Yang
Carola-Bibiane Schönlieb
Angelica E. Avilés-Rivero
38
6
0
05 Feb 2024
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Transolver: A Fast Transformer Solver for PDEs on General Geometries
Haixu Wu
Huakun Luo
Haowen Wang
Jianmin Wang
Mingsheng Long
AI4CE
40
40
0
04 Feb 2024
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Towards Multi-spatiotemporal-scale Generalized PDE Modeling
Jayesh K. Gupta
Johannes Brandstetter
AI4CE
53
117
0
30 Sep 2022
Clifford Neural Layers for PDE Modeling
Clifford Neural Layers for PDE Modeling
Johannes Brandstetter
Rianne van den Berg
Max Welling
Jayesh K. Gupta
AI4CE
60
80
0
08 Sep 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Enhancing Computational Fluid Dynamics with Machine Learning
Enhancing Computational Fluid Dynamics with Machine Learning
Ricardo Vinuesa
Steven L. Brunton
AI4CE
106
355
0
05 Oct 2021
Physics-based Deep Learning
Physics-based Deep Learning
Nils Thuerey
Philipp Holl
P. Holl
Patrick Schnell
Felix Trost
Kiwon Um
P. Schnell
F. Trost
PINN
AI4CE
53
92
0
11 Sep 2021
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate
  Interatomic Potentials
E(3)-Equivariant Graph Neural Networks for Data-Efficient and Accurate Interatomic Potentials
Simon L. Batzner
Albert Musaelian
Lixin Sun
Mario Geiger
J. Mailoa
M. Kornbluth
N. Molinari
Tess E. Smidt
Boris Kozinsky
200
1,232
0
08 Jan 2021
Fourier Neural Operator for Parametric Partial Differential Equations
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
2,282
0
18 Oct 2020
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CE
OCL
PINN
GNN
278
1,400
0
01 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
291
75,800
0
18 May 2015
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