Modeling Supramolecular Assemblies Responsive to Surface Interaction and Rolling

Abstract

Nature builds self-assembled materials that selectively interact with surfaces and respond to the interaction (stimulus) in dynamic way. For example, the receptor mediated binding of cells to ligand-coated surfaces and their migration that follow ligand gradients are fundamental in many physiological processes. Imparting similar dynamic/reactive chemotactic properties to artificial materials (polymeric assemblies, particles, micelles, etc.) is interesting for many applications. But the principles to control the effect of the stimulus on the assembly are difficult to catch experimentally. In this project, we will develop models to learn in silico how to rationally design polymeric assemblies that interact and autonomously diffuse on specific surfaces responding to the dynamic stimulus in controlled way.

Document Details

Document Type
DoD Grant Award
Publication Date
Oct 22, 2018
Source ID
W911NF1810355

Entities

People

  • Giovanni M. Pavan

Organizations

  • Army Contracting Command
  • United States Army
  • University of Applied Sciences and Arts of Southern Switzerland

Tags

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Nanocomposite Materials Science