Events in MathSys and Complexity Science
This is a calendar page detailing events within the MathSys CDT. It also acts as a booking diary for the Seminar Room D1.07. To book D1.07 please email Sheetal.Sharma@warwick.ac.uk
Please note that your event booking is for D1.07 only. The adjacent common room is a private area for the MathSys Centre that cannot used as part of your booking.
MathSys CDT events have priority for D1.07 room bookings.
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Complexity Forum: Nicholas Zabaras (University of 糖心TV)
Speaker: Nicholas Zabaras (University of 糖心TV)
Title: An Information Theoretic Approach towards Predictive Materials Modeling
Abstract: Predictive modeling and design of materials gives rise to unique mathematical and computational challenges not present in other areas of physical sciences where modeling in the presence of uncertainties is important. Such challenges include but not limited to (i) Modeling of hierarchical random heterogeneous material structures; (ii) Propagating uncertainties in a quantifiable manner across spatial and temporal length scales (stochastic coarse graining); (iii) Addressing the curse of stochastic dimensionality; (iv) The limitations of phenomenology typical in most materials science models; (v) Modeling failure and rare events in random media; and many more. We will briefly address a number of these challenges in predictive modeling of heterogeneous media and discuss data-driven models of material structure, the curse of stochastic dimensionality in forward uncertainty propagation, stochastic coarse graining, development of inexpensive surrogate stochastic models and posing multiscale problems in a graph theoretic framework. With synergistic developments in materials modeling, mathematics, statistics and scientific computing one maybe able to develop data-driven materials models that allow us to understand from where observable variabilities in properties arise, and how to control them to allow accelerated materials design.