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. 2301.00800
  4. Cited By
Preface: Characterisation of Physical Processes from Anomalous Diffusion
  Data

Preface: Characterisation of Physical Processes from Anomalous Diffusion Data

2 January 2023
Carlo Manzo
Gorka Muñoz-Gil
Giovanni Volpe
Miguel Ángel García-March
M. Lewenstein
Ralf Metzler
    AI4CE
ArXivPDFHTML

Papers citing "Preface: Characterisation of Physical Processes from Anomalous Diffusion Data"

4 / 4 papers shown
Title
Machine Learning Analysis of Anomalous Diffusion
Machine Learning Analysis of Anomalous Diffusion
Wenjie Cai
Yi Hu
X. Qu
Hui Zhao
Gongyi Wang
Jing Li
Zihan Huang
82
1
0
02 Dec 2024
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion
  Trajectories
Machine-Learning Solutions for the Analysis of Single-Particle Diffusion Trajectories
Henrik Seckler
J. Szwabiński
Ralf Metzler
19
25
0
18 Aug 2023
Unsupervised learning of anomalous diffusion data
Unsupervised learning of anomalous diffusion data
Gorka Muñoz-Gil
Guillem Guigo i Corominas
M. Lewenstein
DiffM
31
17
0
07 Aug 2021
Efficient recurrent neural network methods for anomalously diffusing
  single particle short and noisy trajectories
Efficient recurrent neural network methods for anomalously diffusing single particle short and noisy trajectories
Òscar Garibo i Orts
M. Garcia-March
J. A. Conejero
26
17
0
05 Aug 2021
1