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<span style="font-family: Tahoma, Geneva, sans-serif; font-size: 14pt; color: rgb(0, 0, 0);"><b><i>"Accelerated Discovery of Constitutive Models for Soft Matter using Spectral Methods"</i></b></span>
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<b>Sachin Shanbhag</b></div>
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Dept. of Scientific Computing,</div>
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Florida State University</div>
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Please feel free to forward/share this invitation with other groups/disciplines that might be interested in this talk/topic.
<b>All are welcome to attend. </b></div>
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<b>NOTE: In-person attendance is requested in our 499 Dirac Science Library (DSL) Seminar Room.</b> Zoom access is intended for external (non-departmental) participants only. </div>
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<b>https://fsu.zoom.us/j/94273595552 </b></div>
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Meeting # <b>942 7359 5552 </b></div>
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🎦 Colloquium recordings will be made available here, <a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fcolloquium&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C3c0fb97323cc45fc0fa508dd10b8ce0e%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638685108089057140%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=Sk5K3soP4FJhW8meUH8LuhmYGGdx%2FaaCO6cJHVjTqbY%3D&reserved=0" originalsrc="https://www.sc.fsu.edu/colloquium" shash="AwI+2FVCw+5UIiQ4cHKkAl5+mDmY++y1pToxqkcjPa+hmPCb7Oq9mxSrc6Obu3C/ZsnBME4KJYO+Xo30gf868UikVQ7r+0Qrpswuem6Lt8dUEIqL3VbI+TEg4hwn2/RLYgfcoUOcpMaVJyG8gKnsIBzER0OOQrRrPNyhQIMAK+c=">
https://www.sc.fsu.edu/colloquium</a> </div>
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<b>Wednesday, Dec 4th, 2024, Schedule: </b></div>
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* 3:00 to 3:30 PM Eastern Time (US and Canada) </div>
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☕ Nespresso & Teatime - 417 DSL Commons </div>
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<b>* 3:30 to 4:30 PM Eastern Time (US and Canada) </b></div>
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<b>🕟 Colloquium - 499 DSL Seminar Room </b></div>
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<b>Abstract: </b></div>
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Constitutive models (CMs) mathematically describe the mechanical response of soft materials like polymers, colloids, gels, etc., to deformation. These CMs can be incorporated into computational fluid dynamics software to predict flows in complex geometries,
thereby accelerating the design and scale-up of new processes and products. In this talk, a data-driven algorithm to discover parsimonious CMs from oscillatory shear rheology is proposed and applied to synthetic data generated from popular nonlinear CMs for
polymers. The algorithm relies on three key elements: (i) a spectral method called FLASH which efficiently computes the oscillatory shear response of arbitrary CMs, (ii) representation of unknown nonlinear terms using tensor basis functions which incorporates
physical constraints of symmetry and frame-invariance by design, and (iii) sparse polynomial regression which encodes our preference for simple interpretable models. Implications for experiment design, algorithmic improvement, and non-uniqueness of inferred
CMs are discussed.</div>
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Additional colloquium details can be found here, </div>
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<a href="https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sc.fsu.edu%2Fnews-and-events%2Fcolloquium%2F1827-colloquium-with-sachin-shanbhag-2024-12-04&data=05%7C02%7Csc-seminar-announce%40lists.fsu.edu%7C3c0fb97323cc45fc0fa508dd10b8ce0e%7Ca36450ebdb0642a78d1b026719f701e3%7C0%7C0%7C638685108089057140%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=8PlakKMgl9lObZ4bxMf%2Bxb5lkn5iFNCALF1KiW%2BQuPs%3D&reserved=0" originalsrc="https://www.sc.fsu.edu/news-and-events/colloquium/1827-colloquium-with-sachin-shanbhag-2024-12-04" shash="d7V2/UHdvMzvapi4/dF5X+PHAG2hZS36/9cvZKRoBbrDrv7ZycKHzymwDwdmPkT+EnKxgs/OcFGlHs6ugOyjeKXvKqOWHrepm3B10lqE9RkER/jW881Wd1qLQ3OAmyIcfK+bkhaK8MyYZq5pX+fCmKYKZQuTNv9eurjhlhXSQ84=">https://www.sc.fsu.edu/news-and-events/colloquium/1827-colloquium-with-sachin-shanbhag-2024-12-04</a></div>
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