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SUMMARY:"Machine learning in chemistry and beyond" (ChE-650) seminar "Towa
 rds fully digital R&D in chemistry and process engineering" by Alexei Lapk
 in (University of Cambridge)
DTSTART:20211109T151500
DTEND:20211109T161500
DTSTAMP:20260510T164834Z
UID:f9be050e4db8e2302d3ff1c52d07fd6a7665500951dddd10c6bd469a
CATEGORIES:Conferences - Seminars
DESCRIPTION:Alexei Lapkin\nTowards fully digital R&D in chemistry and proc
 ess engineering\nDigitalisation of research is not only a convenience and 
 a possibility to better utilise resources and democratise education & rese
 arch\, but it also opens doors to scientists asking completely different q
 uestions\, to attempt things that we could never think of before. Digitali
 sation of manufacturing offers a similar paradigm shift\, as we can begin 
 to envisage a much more equitable\, responsible and sustainable society. I
 n this talk I’ll share our high level vision\, but then focus on several
  specific technologies that are being developed within the programme of wo
 rk with pharma and speciality chemicals industrial partners. This will foc
 us on process chemistry - how to develop clean and scalable processes with
  the aid of AI and robotics\, and also on larger systems optimisation usin
 g networks and reinforcement learning.\n\nAlexei Lapkin studied chemistry 
 at Novosibirsk State University (Russia) and obtained a PhD degree at the 
 University of Bath for his work on multifunctional catalytic reactors (und
 er supervision of late Professor W.J. Thomas). He joined Cambridge in 2013
  as a Professor of Sustainable Reaction Engineering.
LOCATION:https://epfl.zoom.us/j/64473017589?pwd=Vmpnd1pleGhEb1hFb3kxUlNIUW
 JyQT09
STATUS:CONFIRMED
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