The seminal works of Doi and Edwards on the theory of polymer dynamics have inspired a rapid development of predictive soft matter science over the past 50 years. This field, based on statistical physics, addresses complex problems involving multi-medium, multi-scale and multi-physics phenomena, which are commonly encountered in industrial and biological systems. At the dawn of a new industrial revolution, the advent of Artificial Intelligence (AI) has brought about a paradigm shift in the scientific discovery process. AI methods have already had successes in creating constitutive models from laboratory data, and show promise to transform the field further in the coming decades. This session will highlight the rapidly evolving fields of AI rheology, as well as theoretical and computational rheology, to inform the novel design of smart molecules and formulations, optimize and control industrial processes, and ultimately help address the grand challenges of sustainable development in the world.
Sir Sam Edwards FRS was one of the great scientific minds of the 20th century. His fundamental contributions to the field of soft matter spanned from polymers, through gels, colloids, granular materials, and glasses, to optimization problems. This session will be dedicated to commemorating the centenary of his birth.
Chairs:
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Michael Cates (University of Cambridge, UK) |
Yuichi Masubuchi (Nagoya University, Japan) |