Multiscale modelling of materials: Computing, data science and uncertainty quantification

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• Burigede Liu, University of Cambridge Engineering Department
• Monday 25 April 2022, 14:30-15:00
• Pfizer Lecture Theatre, Department of Chemistry, Lensfield Road, Cambridge, CB2 1EW.

If you have a question about this talk, please contact Dr Christoph Schran.

This talk will be in hybrid format. Virtual access via: https://zoom.us/j/92447982065?pwd=RkhaYkM5VTZPZ3pYSHptUXlRSkppQT09

The recent decades have seen various attempts at accelerating the process of developing materials targeted towards specific applications. The performance required for a particular application leads to the choice of a particular material system whose properties are optimized by manipulating its underlying microstructure through processing. The specific configuration of the structure is then designed by characterizing the material in detail, and using this characterization along with physical principles in system level simulations and optimization. These have been advanced by multiscale modelling of materials, high-throughput experimentations, materials data-bases, topology optimization and other ideas. Still, developing materials for extreme applications involving large deformation, high strain rates and high temperatures remains a challenge. This talk reviews a number of recent methods that advance the goal of designing materials targeted by specific applications.

This talk is part of the Lennard-Jones Centre series.

This talk is included in these lists:

• Hanchen DaDaDash
• Lennard-Jones Centre
• Pfizer Lecture Theatre, Department of Chemistry, Lensfield Road, Cambridge, CB2 1EW

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