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BEGIN:VEVENT
DTSTAMP:20260526T080440Z
DTSTART;VALUE=DATE-TIME:20260511T130000
DTEND;VALUE=DATE-TIME:20260511T140000
SUMMARY:WCPM: Samuel Cooper\, Imperial
TZID:Europe/London
UID:20260511-8ac672c49da8d90f019daa126b06011b@warwick.ac.uk
CREATED:20260422T124603Z
DESCRIPTION:Networking Lunch: Outside L5\, from 12:30pm - 1pm. Title: Sma
 ll Features\, Big Impact: Designing at the Microscale with Generative AI
  Abstract: The microscale features of porous battery electrodes strongly
  influence how fast they charge and how long they last. These features a
 re governed by manufacturing parameters such as temperature and pressure
 \, yet the relationship between processing and the resulting microstruct
 ure remains extremely difficult to predict using physics-based simulatio
 ns. In this talk\, I will demonstrate how generative AI tools\, develope
 d by my team at Imperial College London\, have unlocked powerful new cap
 abilities for microstructural characterisation and design\, such as the 
 generation of 3D data from a single 2D image. I will also share our work
  on a new workflow for the characterisation and simulation of graded ele
 ctrodes\, which are common in commercial cells. Finally\, I will present
  my teams most recent work on vision and language foundation models\, in
  particular exploring who they conceptualise scientific concepts and how
  they can be used in agentic workflows. Bio: Dr Sam Cooper leads the TLD
 R group at Imperial College London who focus on the application of AI to
  materials science. Recently publications have focused on the use of gen
 erative AI to create 3D microstructural data from a 2D image [1]\, condi
 tionalized models to map processing parameters to the microstructure of 
 battery electrodes [2]\, and the representation of scientific concepts i
 nside LLMs [3]. Dr Cooper was recently awarded a £2M EPSRC Open Plus Fel
 low in AI for Materials Science with Deep Reproducibility. In 2024 he sp
 un-out a company\, www.polaron.ai\, to bring IP developed at Imperial to
  manufacturers around the world. Polaron were the winners of the inaugur
 al Manchester prize and recently raised an $8M seed round. In 2017\, Dr 
 Cooper created the online course “Mathematics for Machine Learning” on C
 oursera which has since been taken by over 700\,000 learners. [1] https:
 //www.nature.com/articles/s42256-021-00322-1 [2] https://www.cell.com/ma
 tter/fulltext/S2590-2385(24)00446-6 [3] https://pubs.rsc.org/en/content/
 articlelanding/2025/dd/d5dd00374a
LOCATION:L5\, Science Concourse
CATEGORIES:WCPM
LAST-MODIFIED:20260422T124603Z
ORGANIZER;CN=Jin Kang:
END:VEVENT
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