F. Multiscale modeling of biological and soft-matter systems

Keynote speakers:

Robin Cortes Huerto Max Planck Institute for Polymer Research, Germany
Matej Praprotnik National Institute of Chemistry, Slovenia
Andreas Zöttl Technical University Vienna, Austria
Rosana Collepardo Guevara University of Cambridge, UK

Numerical modeling plays a central role in understanding biological and soft-matter systems. Not only are numerical models critically important for explaining experimental data, they are a key tool for developing new theoretical ideas. Due to the array of length and time scales typical of such systems, finding the right level at which to coarse-grain a model while still retaining the important physics presents a fundamental challenge. Nevertheless, the combination of sophisticated coarse-grained approaches and advanced numerical techniques makes modern computational modelling more capable than ever of driving scientific inquiry.

This symposium will survey recent developments in the use of advanced modelling approaches to better understand highly complex problems in soft matter and biological physics. Emphasis will be placed both on the novel coarse-grained modelling approaches and on advanced computational and numerical techniques, including but not limited to those that incorporate machine learning. We hope to promote practical discussions on the utility and implementation of these techniques, as well as on efforts to integrate experimental, theoretical, and numerical ideas.

Symposium organizers:

Carl Goodrich Institute of Science and Technology, Austria
Chantal Valeriani Universidad Complutense de Madrid, Spain
Srikanth Sastry Jawaharlal Nehru Centre for Advanced Scientific Research, India