COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Microsoft Research Cambridge, public talks > Approaches to Multiscale Modelling of Complex Systems
Approaches to Multiscale Modelling of Complex SystemsAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins. This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending Mathematical modelling requires the researcher to decide upon an appropriate system description regarding the number of states and processes as well as their spatial and temporal resolution. Complex systems are especially reluctant to such formalization as they typically display behaviour over several length and time scales. For those systems, detailed spatially resolved models are often able to accurately capture the interactions of system constituents. Yet, the microscopic models often give only few insights into dynamics on the actual level of interest, either because the latter is computationally out of reach, or because simulation results present themselves in undesired complexity. On the other hand, more abstract phenomenological models that operate directly on the level of interest are computationally inexpensive and amend themselves to clear analysis, but come to the price of introducing ad-hoc assumptions. Therefore, it is desirable to combine both approaches in ways that minimize computational efford while still minimizing the introduction of phenomenological assumptions. This talk presents approaches to multiscale modelling with examples from physical chemistry, systems biology, and ecology, where spatially resolved microscale models—such as particle based simulations of single molecules in a supramolecular aggregate, or gap models of individual trees in a forest—are compared to phenomenological models that operate on average states or distributions. Besides mere comparison of model results, the talk presents methodologies to integrate microscale and macroscale simulations into true multiscale simulation frameworks. This is achieved by model renormalization and dimensional reduction techniques. It is shown how such model comparison and integration, in combination with data analysis, can greatly improve our understanding of complex systems. This talk is part of the Microsoft Research Cambridge, public talks series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsOpen Cambridge talks Religion and the Idea of a Research University Denise SchofieldOther talksConstructing the virtual fundamental cycle Cycles of Revolution in Ukraine Vest up! Working with St John's Medical Response Team Intrinsically Motivating Teachers;STIR's use of Data Driven Insight to Iterate, Pivot and (where necessary) Fail Fast Modeling and understanding of Quaternary climate cycles The role of transcription factors in cancer Cyclic Peptides: Building Blocks for Supramolecular Designs Towards a whole brain model of perceptual learning To be confirmed Single Cell Seminars (November) Glucagon like peptide-1 receptor - a possible role for beta cell physiology in susceptibility to autoimmune diabetes Identification of Active Species and Mechanistic Pathways in the Enantioselective Catalysis with 3d Transition Metal Pincer Complexes |