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. 2404.04825
  4. Cited By
Gradient-based Design of Computational Granular Crystals

Gradient-based Design of Computational Granular Crystals

7 April 2024
Atoosa Parsa
C. O’Hern
Rebecca Kramer‐Bottiglio
Josh Bongard
ArXivPDFHTML

Papers citing "Gradient-based Design of Computational Granular Crystals"

2 / 2 papers shown
Title
Deep physical neural networks enabled by a backpropagation algorithm for
  arbitrary physical systems
Deep physical neural networks enabled by a backpropagation algorithm for arbitrary physical systems
Logan G. Wright
Tatsuhiro Onodera
Martin M. Stein
Tianyu Wang
Darren T. Schachter
Zoey Hu
Peter L. McMahon
PINN
AI4CE
30
457
0
27 Apr 2021
Physical reservoir computing -- An introductory perspective
Physical reservoir computing -- An introductory perspective
Kohei Nakajima
41
305
0
03 May 2020
1