Phase transitions, percolation, fracture of materials, and deep learning

Volume: 102, Issue: 1
Published: Jul 14, 2020
Abstract
Percolation and fracture propagation in disordered solids represent two important problems in science and engineering that are characterized by phase transitions: loss of macroscopic connectivity at the percolation threshold p_{c} and formation of a macroscopic fracture network at the incipient fracture point (IFP). Percolation also represents the fracture problem in the limit of very strong disorder. An important unsolved problem is accurate...
Paper Details
Title
Phase transitions, percolation, fracture of materials, and deep learning
Published Date
Jul 14, 2020
Volume
102
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.