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SUMMARY:Sandra Barman (RISE Research Institutes of Sweden)
DTSTART:20260204T121500Z
DTEND:20260204T130000Z
DTSTAMP:20260422T155204Z
UID:gbgstats/97
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/97/
 ">Correlating structure and material properties in soft materials</a>\nby 
 Sandra Barman (RISE Research Institutes of Sweden) as part of Gothenburg s
 tatistics seminar\n\nLecture held in MVL14.\n\nAbstract\nThis talk focuses
  on how statistics and machine learning can be used to correlate the nano-
  and microstructure of soft materials with their material properties. We w
 ork with different application areas where this is relevant\, including pa
 ckaging and barrier materials\, hygiene products\, pharmaceuticals\, and f
 ood.\n\nTo develop models that map the relationship between a material’s
  structure and its functional properties\, we combine:\n\n<ol>\n  <li>meth
 ods for material imaging to understand what the structure looks like\, ran
 ging from indirect methods such as X-ray scattering to direct imaging in 2
 D and 3D\, with or without a time component\,</li>\n  <li>models for repli
 cating and exploring 3D material structure using spatial statistics and ge
 nerative AI\,</li>\n  <li>numerical simulation of functional properties su
 ch as fluid and gas transport\, and</li>\n  <li>statistical and machine le
 arning models that connect structure to functional properties.</li>\n</ol>
 \n\nI will in this talk give an overview of some ongoing projects which ar
 e done in collaboration between RISE\, the Department of Mathematical Scie
 nces and Department of Physics at Chalmers\, Chalmers Industriteknik\, and
  industrial partners such as Tetra Pak\, AstraZeneca\, and Essity.\n
LOCATION:https://researchseminars.org/talk/gbgstats/97/
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