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SUMMARY:Microstructurally informed material modelling workflows for fusion
  engineering applications -  Dr. Pratheek Shanthraj\, UKAEA
DTSTART:20260220T140000Z
DTEND:20260220T150000Z
UID:TALK243181@talks.cam.ac.uk
CONTACT:46601
DESCRIPTION:The development of practical engineering models that accuratel
 y reflect microstructurally informed phenomena is a critical challenge in 
 materials engineering\, particularly for high-performance applications lik
 e nuclear fusion. Conventional approaches typically rely on disjointed wor
 kflows requiring multiple specialized models and significant manual data t
 ransfer. This process is resource-intensive\, demanding constant intervent
 ion from multidisciplinary experts at each stage of development.\nThis sem
 inar presents progress towards automated workflow management that addresse
 s these inefficiencies. The proposed pipeline integrates probabilistic cal
 ibration of physics-based constitutive models\, large scale generation of 
 training datasets and utilizes the resulting datasets to train reduced ord
 er models. The result is a streamlined\, end-to-end development pipeline c
 apable of taking statistical distributions of microstructural features and
  desired macroscopic responses as inputs to generate robust engineering mo
 dels with minimal user intervention.\nTo demonstrate the efficacy of this 
 approach\, a case study on the generation of a microstructurally informed 
 deformation model for pure copper will be presented. The talk will highlig
 ht how this automated framework accelerates model development\, reduces hu
 man error\, and provides a scalable pathway for designing advanced materia
 ls for fusion environments.
LOCATION:Oatley 1 Meeting Room\, Department of Engineering
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