Division/Committee: [COLL] Division of Colloid & Surface Chemistry

This symposium will accept papers on the use of advanced physics and data-driven models to study colloidal materials and systems, including surfactants, polymers, dispersions, emulsions, nanoparticles and foams. The models include physics-based models (such as molecular dynamics, coarse-grained MD, SCFT, Multiscale and Multiphysics model), machine learning models, and hybrid models. Topics in this symposium would cover the development and application of the models to study/predict the properties and performance of individual molecules as well as and complex physical systems, as well as experimental high throughput research with large datasets. Topics on how to use advanced models to optimize the synthesis and design of colloidal materials are also welcome.

Decai Yu

Research Scientist, Dow Chemical

Appearances