Skip to main content
King Abdullah University of Science and Technology
Scientific Computing and Machine Learning
SCML
Scientific Computing and Machine Learning
Main navigation
  • Home
  • People
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
    • All Profiles
  • Events
    • All Events
    • Events Calendar
  • News
  • KAUST Innovation Hub in Shenzhen
  • Opportunities

random process

Emergence of transportation networks as a self-regulated process

Jan Haskovec, Senior Research Scientist, Applied Mathematics and Computational Sciences
Aug 30, 15:30 - 17:00

B1 L3 R3119

random process transportation networks

In this talk, we shall explain how transportation networks emerge as a self-regulating process, with a particular focus on applications in biology (leaf venation in plants, neuronal networks in animals). We start by introducing a purely diffusive model with tensor-valued diffusivity, derived as a gradient flow of a broad class of entropy dissipations. The introduction of a prescribed electric potential leads to the Fokker-Planck equation. We show that with quadratic entropy density modeling Joule heating, the model is convex with respect to the diffusivity tensor.

Scientific Computing and Machine Learning (SCML)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2024 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice