#21. Multiscale Modeling of Glasses and Structurally Disordered Materials

Organizers

  • Michael Falk, Johns Hopkins University, USA, mfalk@jhu.edu
  • Katherine Flores, Washington University St. Louis, USA
  • Craig Maloney, Northeastern University, USA
  • Anne Tanguy, Institut National des Sciences Appliquées Lyon, France
  • Francesco Zamponi, Ecole Normale Supérieure, France

Description

Our increased ability to experimentally and computationally interrogate idealized yet complex instances of disordered matter such as glasses, high-entropy alloys, poly-disperse colloidal aggregates, amorphous polymers, and granular packings has provided opportunities to model their response to mechanical loading with increasing fidelity. Oftentimes surprisingly robust structural features and predictable responses can be discerned to arise in systems that otherwise seem to be entirely random. Intermittent phenomena that arise in these materials are increasingly quantitatively understood through statistical methods. Concepts related to energy landscapes, polymer entanglement and non-equilibrium thermodynamics are being incorporated into physical theories and constitutive models. New algorithms for optimizing and exploring disordered systems also continue to emerge, providing tools for characterizing these complex materials. Furthermore, machine learning methodologies are being applied both to the modeling process and to the experimental investigation of the connection between structure and property. This session will discuss innovations across this broad range of activity seeking to model the response of amorphous solids to mechanical stress over a range of length and time scales.

Confirmed Keynote Speakers

• Emanuela Del Gado (Georgetown University, USA)
• Pengfei Guan (Beijing Computational Science Research Center, China)
• M. Lisa Manning (Syracuse University, USA)
• Damien Vandembroucq (ESPCI, France)