[QE-users] Materials Square Upcoming Webinar: Accelerated Materials and Molecular Discovery with Self-Driving Labs

[Gabriele Mogni]

 *MatSQ Upcoming Webinar | Thu. 23rd of May: 8-9 AM EDT*



We are thrilled to announce another fascinating episode in our Webinar
Series at Materials Square, to which you are all invited to participate!



*Please follow this link for free registration: *
*https://www.materialssquare.com/webinar*
<https://www.materialssquare.com/webinar>



Webinar Title: "Accelerated Materials and Molecular Discovery with
Self-Driving Labs"



Presenter: Prof. Milad Abolhasani ( Chemical & Biomolecular Engineering
Department, North Carolina State University )



The current human-dependent nature of experimental research in chemical and
materials sciences fails to identify technological solutions for healthcare
and sustainability challenges in a short timeframe. This limitation
necessitates the development and implementation of new strategies to
accelerate the pace of discovery. Recent advances in reaction
miniaturization, automated experimentation, and data science provide an
exciting opportunity to reshape the discovery and manufacturing of new
molecules and materials through human-machine teams. In this talk, I will
present the recent work in my lab on the development of Self-Driving Labs
(SDLs) as intelligent robotic assistants to human researchers to accelerate
discovery, development, and manufacturing of advanced functional materials
and molecules by 100×-1000× compared to the status quo. I will discuss how
modularization of different chemical synthesis and processing stages in
tandem with a constantly evolving machine learning modeling and
decision-making under uncertainty can enable a resource-efficient
navigation through high dimensional experimental design spaces (>1020
possible experimental conditions). Example applications of SDLs for the
autonomous synthesis of specialty chemicals will be presented to illustrate
the potential of autonomous robotic experimentation in reducing synthetic
route discovery timeframe from >10 years to a few months. Finally, I will
present the unique reconfigurability aspect of SDLs to close the scale gap
in chemical and materials research through facile switching from the
reaction exploration/exploitation to smart manufacturing mode.



The webinar will be held according to the following international schedules:

Thu, May 23, 2024, 05:00 ~ 06:00 | Los Angeles (PDT)

Thu, May 23, 2024, 08:00 ~ 09:00 | New York (EDT)

Thu, May 23, 2024, 14:00 ~ 15:00 | Paris (CEST)

Thu, May 23, 2024, 15:00 ~ 16:00 | Riyadh (KSA)

Thu, May 23, 2024, 17:30 ~ 18:30 | New Delhi (IST)

Thu, May 23, 2024, 21:00 ~ 22:00 | Seoul (KST)



As always, registration for Materials Square webinars is completely FREE. A
participation certificate will also be made available for download to all
members of the audience at the end of the event.



We look forward to welcoming you virtually! Many thanks for your interest
and your consideration,



The Virtual Lab Team
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