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. 2005.04286
  4. Cited By
RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric
  High-Order Tensors

RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors

28 April 2020
Liyao (Mars) Gao
Yifan Du
Hongshan Li
Guang Lin
ArXivPDFHTML

Papers citing "RotEqNet: Rotation-Equivariant Network for Fluid Systems with Symmetric High-Order Tensors"

1 / 1 papers shown
Title
Rotationally Equivariant Super-Resolution of Velocity Fields in
  Two-Dimensional Fluids Using Convolutional Neural Networks
Rotationally Equivariant Super-Resolution of Velocity Fields in Two-Dimensional Fluids Using Convolutional Neural Networks
Y. Yasuda
R. Onishi
17
5
0
22 Feb 2022
1