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SUMMARY:IMX Talks - Accelerating Development of Materials with Artificial 
 Intelligence
DTSTART:20231117T090000
DTEND:20231117T100000
DTSTAMP:20260408T025931Z
UID:e1b4bcc2d175b1f3787c7e27e2a9e04f1120cc690c09fd63d555a948
CATEGORIES:Conferences - Seminars
DESCRIPTION:Dr. Marco Musto\, Citrine Informatics\nThe development of nove
 l materials and manufacturing processes can be time consuming and expensiv
 e due to the costs of experiments and the complexity of hierarchical proce
 ss-structure-property-performance (PSPP) relationships that are unique acr
 oss materials classes (e.g.\, polymers\, metals\, ceramics). Artificial in
 telligence (AI)-driven materials design is particularly useful on 1) optim
 ization exercises that are high-dimensional\, 2) problems where PSPP cause
 -and-effect are unknown\, and 3) projects with resource constraints. While
  a researcher using traditional methods typically estimate which inputs ar
 e the most important to vary and develop experiments accordingly\, AI can 
 systematically create machine learning models using all input combinations
  and then act as a copilot for the researcher\, suggesting a series of exp
 eriments to explore the design space in the most efficient manner. The tal
 k will introduce the field of Material Informatics and describe the state-
 of-the-art methodology developed by Citrine Informatics and used in the Ci
 trine Platform\, a cloud-based enterprise-level software that combines sma
 rt materials data infrastructure and AI. Citrine’s experience in materia
 ls development will be illustrated with case studies.\nBio: Dr. Marco Must
 o is a Senior Research Scientist at Citrine Informatics\, where he focuses
  on publicly funded Material Informatics and digitalisation projects.\nBe
 fore joining Citrine in 2022\, Marco held a variety of industrial R&D role
 s spanning analytical modelling\, numerical simulation and machine learnin
 g at Dunlop\, Ansys\, Osram\, Element Materials Technology among others.\n
 Dr. Musto earned his B.S in Aerospace Engineering from the University of P
 isa in 2006\, and his Ph.D. in Computational Mechanics at Brunel Universit
 y West London in 2013\,\nwhere he focused on the application of fractional
  calculus to fracture mechanics. His industrial research covered diverse t
 opics such as data-driven approaches to OLED devices' reliability estimati
 on\, optimization of adhesive interfaces and characterization of long-term
  degradation in polymeric materials.  \n 
LOCATION:MXF 1 https://plan.epfl.ch/?room==MXF%201
STATUS:CONFIRMED
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