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. 1503.01626
  4. Cited By
Inference of hidden structures in complex physical systems by
  multi-scale clustering
v1v2 (latest)

Inference of hidden structures in complex physical systems by multi-scale clustering

5 March 2015
Z. Nussinov
P. Ronhovde
Dandan Hu
S. Chakrabarty
M. Sahu
Bo Sun
Nicholas A. Mauro
K. Sahu
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Inference of hidden structures in complex physical systems by multi-scale clustering"

4 / 4 papers shown
Title
Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
Machine-Learned Phase Diagrams of Generalized Kitaev Honeycomb Magnets
N. Rao
Ke Liu
Marc Machaczek
L. Pollet
AI4CE
26
9
0
01 Feb 2021
Revealing the Phase Diagram of Kitaev Materials by Machine Learning:
  Cooperation and Competition between Spin Liquids
Revealing the Phase Diagram of Kitaev Materials by Machine Learning: Cooperation and Competition between Spin Liquids
Ke Liu
Nicolas Sadoune
N. Rao
J. Greitemann
L. Pollet
26
24
0
29 Apr 2020
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale
  Dynamics in Materials
Graph Dynamical Networks for Unsupervised Learning of Atomic Scale Dynamics in Materials
T. Xie
A. France-Lanord
Yanming Wang
Y. Shao-horn
Jeffrey C. Grossman
AI4CE
56
111
0
18 Feb 2019
The Stochastic Replica Approach to Machine Learning: Stability and
  Parameter Optimization
The Stochastic Replica Approach to Machine Learning: Stability and Parameter Optimization
Patrick Chao
T. Mazaheri
Bo Sun
N. B. Weingartner
Z. Nussinov
43
5
0
18 Aug 2017
1