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SUMMARY:Advances in Soils/Water Modelling &amp\; AI - Prof (Associate) Xia
 ohui Chen\, University of Leeds 
DTSTART:20231122T180000Z
DTEND:20231122T190000Z
UID:TALK239404@talks.cam.ac.uk
CONTACT:131362
DESCRIPTION:The interactions between soil\, water\, chemicals\, and bacter
 ia pose significant challenges to the development of foundational theories
 \, which are crucial for accurate\nphysics-based modelling. These challeng
 es have constrained innovation in modern geotechnical engineering. In this
  presentation\, we will introduce the concept of Mixture-Coupling theory a
 s an alternative framework firmly rooted in non-equilibrium thermodynamics
 \, complement to existing foundational theories in Geotechnical Engineerin
 g. Furthermore\, in line with the advancements in physical\ntheory\, we ha
 ve directed our focus towards machine learning to bridge the gap between p
 hysics and deep learning. This talk will also highlight our recent develop
 ments in physics-informed machine learning techniques\, which aim to combi
 ne the power of physics based understanding with the data-driven capabilit
 ies of machine learning algorithms.
LOCATION:Room 4 Cripps Court (Magdalene College)
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