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LOCATION:HG E 1.1
DTSTART;TZID=Europe/Stockholm:20240603T143000
DTEND;TZID=Europe/Stockholm:20240603T150000
UID:submissions.pasc-conference.org_PASC24_sess157_msa250@linklings.com
SUMMARY:Accelerated Materials and Molecular Discovery with Self-Driving Fl
 uidic Labs
DESCRIPTION:Minisymposium\n\nMilad Abolhasani (North Carolina State Univer
 sity)\n\nAccelerating the discovery of new molecules and materials, as wel
 l as green and sustainable ways to synthesize and manufacture them, will p
 rofoundly impact the worldwide challenges in energy, sustainability, and h
 ealthcare. The current human-dependent paradigm of experimental research i
 n chemical and materials sciences fails to identify technological solution
 s quickly. Recent advances in reaction miniaturization, automated experime
 ntation, and data science provide an exciting opportunity to reshape the d
 iscovery and development of new molecules and materials related to energy 
 transition and sustainability. In this talk, I will present a 'self-drivin
 g fluidic lab (SDFL)' for autonomous discovery and development of emerging
  advanced functional materials and molecules through integrating flow chem
 istry, online characterization, and machine learning (ML). I will discuss 
 how modularization of different chemical synthesis and processing stages i
 n tandem with constantly evolving ML modeling and decision-making under un
 certainty can enable resource-efficient navigation through high dimensiona
 l experimental design spaces (>1020 possible experimental conditions). Exa
 mple applications of the SDFL for the autonomous synthesis of quantum dots
  and specialty chemicals will be presented to illustrate the potential of 
 autonomous robotic experimentation in reducing synthetic route discovery t
 imeframe from >10 years to a few months.\n\nDomain: Chemistry and Material
 s, Climate, Weather, and Earth Sciences, Engineering, Life Sciences, Physi
 cs, Computational Methods and Applied Mathematics\n\nSession Chairs: Ewa D
 eelman (University of Southern California) and Michela Taufer (University 
 of Tennessee)
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