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CATEGORIES:CUGS - archive list 2023
SUMMARY:Advances in Soils/Water Modelling &amp\; AI - Prof
  (Associate) Xiaohui Chen\, University of Leeds 
DTSTART;TZID=Europe/London:20231122T180000
DTEND;TZID=Europe/London:20231122T190000
UID:TALK208561AThttp://talks.cam.ac.uk
URL:http://talks.cam.ac.uk/talk/index/208561
DESCRIPTION:The interactions between soil\, water\, chemicals\
 , and bacteria pose significant challenges to the 
 development of foundational theories\, which are c
 rucial for accurate\nphysics-based modelling. Thes
 e challenges have constrained innovation in modern
  geotechnical engineering. In this presentation\, 
 we will introduce the concept of Mixture-Coupling 
 theory as an alternative framework firmly rooted i
 n non-equilibrium thermodynamics\, complement to e
 xisting foundational theories in Geotechnical Engi
 neering. Furthermore\, in line with the advancemen
 ts in physical\ntheory\, we have directed our focu
 s towards machine learning to bridge the gap betwe
 en physics and deep learning. This talk will also 
 highlight our recent developments in physics-infor
 med machine learning techniques\, which aim to com
 bine the power of physics based understanding with
  the data-driven capabilities of machine learning 
 algorithms.
LOCATION:Room 4 Cripps Court (Magdalene College)\, 1-3 Ches
 terton Road\, Arbury\, Cambridge\, CB4 3AD
CONTACT:
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