报告题目: Modelling stochastic materials structures
报告人：Prof. William W. Sampson，英国The University of Manchester
报告内容： For intrinsically heterogeneous materials, modelling the dependence of properties on structure and identifying opportunities for modify these through informed manufacturing requires consideration of probabilistic theory. In the first instance, we consider random processes of finite length fibres to model structures of paper, nonwoven veils for use in composites and silver nanowire networks with potential application in transparent conducting displays. We proceed to consider stochastic assemblies of infinite length fibres and the optimisation of electrospun polymer fibre scaffolds for tissue engineering. In closing, we demonstrate the application of probabilistic theoretical approaches to describe clustering of colloidal particles during self-assembly processes.