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--- seminars:stat:oct242023 [2023/09/14 13:40] – created qyu
+++ seminars:stat:oct242023 [2023/09/18 12:51] (current) – qyu
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+<WRAP centeralign>##Data Science Seminar##\\ Hosted by the Department of Mathematics and Statistics</WRAP>
+  * Date: Tuesday, September 19, 2023
+  * Time: 12:00pm -- 1:00pm
+  * Room: Whitney Hall 100E
+  * Speaker: Zengyan Zhang  (Binghamton University)
+  * Title: Structure-preserving Reduced-order Models for Thermodynamically Consistent PDEs
+<WRAP center box 80%>
+<WRAP centeralign>**//Abstract//**</WRAP>
+\\
+As a powerful data-driven approach for dimensionality reduction,
+the proper orthogonal decomposition reduced-order model (POD-ROM) has been
+widely used as a computationally efficient surrogate model for complex
+large-scale systems. Given the computational complexity of the
+thermodynamically consistent models, the POR-ROM plays an important role in
+reducing the spatial-temporal complexity. However, the classical POD-ROM
+can destroy the thermodynamic structure in the reduced-order modeling
+approach for the systems. In this talk, we will introduce a numerical
+platform that can systematically derive ROMs for thermodynamically
+consistent PDEs while maintaining their inherent thermodynamic principles,
+and demonstrate its effectiveness in several numerical examples.
+ \\
+</WRAP>