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SUMMARY:Rheoinformatics: A Data-driven Platform for Unifying Experimental\
 , Theoretical\, and Computational Rheology - Safa Jamali (Northeastern Uni
 versity)
DTSTART:20250910T125000Z
DTEND:20250910T133000Z
UID:TALK233290@talks.cam.ac.uk
DESCRIPTION:The ability to concisely describe the dynamical behavior of so
 ft materials through closed form constitutive relations holds the key to a
 ccelerated and informed design of materials and processes. The conventiona
 l approach is to construct constitutive relations through simplifying assu
 mptions and approximating the time- and rate-dependent stress response of 
 a complex fluid to an imposed deformation. Once the constitutive model is 
 available\, it&rsquo\;s usually solved numerically for other flow geometri
 es and kinematics. While traditional frameworks have been foundational to 
 our current understanding of soft materials\, they often face a two-fold e
 xistential limitation: (i) constructed on ideal and generalized assumption
 s\, precise recovery of material-specific details is usually serendipitous
 \, if possible\, and (ii) inherent biases that are involved by making thos
 e assumptions commonly come at the cost of new physical insight. I will pr
 esent a wide spectrum of data-driven frameworks that can help both develop
  and solve the new generation of constitutive models for soft materials. T
 hese are generally methods that involve combination of statistical inferen
 ce formalisms\, with the addition of physical intuition. These physical in
 tuitions can come in form of low fidelity data or model predictions\; but 
 the overall result is the same: combination of data-driven predictions and
  physical intuition clearly opens new horizons for constitutive model dete
 ction\, discovery\, and simulation.&nbsp\;
LOCATION:External
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