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SUMMARY:Multiscale modelling of materials: Computing\, data science and un
 certainty quantification - Burigede Liu\, University of Cambridge Engineer
 ing Department
DTSTART:20220425T133000Z
DTEND:20220425T140000Z
UID:TALK172562@talks.cam.ac.uk
CONTACT:Dr Christoph Schran
DESCRIPTION: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 choic
 e of a particular material system whose properties are optimized by manipu
 lating its\nunderlying microstructure through processing. The specific con
 figuration of the structure is then designed by characterizing the materia
 l in detail\, and using this characterization along with physical principl
 es in system level simulations and optimization. These have been advanced 
 by multiscale modelling of materials\, high-throughput experimentations\, 
 materials data-bases\, topology\noptimization and other ideas. Still\, dev
 eloping materials for extreme applications involving large\ndeformation\, 
 high strain rates and high temperatures remains a challenge. This talk rev
 iews a\nnumber of recent methods that advance the goal of designing materi
 als targeted by specific\napplications.
LOCATION:Pfizer Lecture Theatre\, Department of Chemistry\, Lensfield Road
 \, Cambridge\, CB2 1EW
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