ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2402.06275
  4. Cited By
Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics

9 February 2024
Artur P. Toshev
Jonas A. Erbesdobler
Nikolaus A. Adams
Johannes Brandstetter
    AI4CE
ArXivPDFHTML

Papers citing "Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics"

12 / 12 papers shown
Title
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
32
1
1
14 Nov 2024
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics
Rene Winchenbach
Nils Thuerey
AI4CE
18
5
0
25 Mar 2024
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
Artur P. Toshev
Harish D. Ramachandran
Jonas A. Erbesdobler
Gianluca Galletti
Johannes Brandstetter
Nikolaus A. Adams
38
2
0
07 Mar 2024
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Universal Physics Transformers: A Framework For Efficiently Scaling Neural Operators
Benedikt Alkin
Andreas Fürst
Simon Schmid
Lukas Gruber
Markus Holzleitner
Johannes Brandstetter
PINN
AI4CE
27
8
0
19 Feb 2024
Learning Interatomic Potentials at Multiple Scales
Learning Interatomic Potentials at Multiple Scales
Xiang Fu
Albert Musaelian
Anders Johansson
Tommi Jaakkola
Boris Kozinsky
27
2
0
20 Oct 2023
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
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
48
89
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
183
1,218
0
08 Jan 2021
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
The Open Catalyst 2020 (OC20) Dataset and Community Challenges
L. Chanussot
Abhishek Das
Siddharth Goyal
Thibaut Lavril
Muhammed Shuaibi
...
Brandon M. Wood
Junwoong Yoon
Devi Parikh
C. L. Zitnick
Zachary W. Ulissi
207
370
0
20 Oct 2020
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
197
2,254
0
18 Oct 2020
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
204
242
0
24 Mar 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
252
1,394
0
01 Dec 2016
1