Abolhasani Lab
@AbolhasaniLab
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Official Twitter Account of the Abolhasani Research Group @NCState | Self-Driving Fluidic Labs for Accelerated Materials and Molecular Discovery
Raleigh, NC
Joined August 2016
๐ ๐ค Today, we unveiled Fast-Cat: A Self-Driving Lab for Accelerated Catalyst Development in @NatChemEng!.Fast-Cat is turbocharging catalyst development with its autonomous, high-pressure/high-temperature reaction capabilities! .@EastmanChemCo @NCState @NCStateNews @NCStateEngr
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Applied to quantum dots, this method changes how autonomous labs generate and use data, unlocking turbo mode for the discovery of advanced functional materials that address urgent energy and sustainability challenges.
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By continuously mapping transient conditions to steady-state outcomes, our approach delivers (at least) 10ร-100ร more data with less time and fewer chemicals compared to the status quo.
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Excited to share our latest work published in @NatChemEng!..We put self-driving labs on fast-forward with a powerful ๐๐๐ญ๐ ๐๐ง๐ญ๐๐ง๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง strategy! ..@NCStateNews @NCStateEngr
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This strategy aligns resource efficiency with discovery speed and empowers AI agents with richer, more reliable data streams.
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Rather than retrofitting conventional reactors and instruments into autonomous workflows, we advocate for a bottom-up SDL design that treats every unit operation not just as a chemical transformation step, but also as a data-generating process module.
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Because PI enables '๐๐๐ญ๐ ๐๐ง๐ญ๐๐ง๐ฌ๐ข๐๐ข๐๐๐ญ๐ข๐จ๐ง', that is the key to unlocking the full decision-making power of AI agents in SDLs.
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In this article, we argue that engineering principles, especially Process Intensification (PI), must serve as the foundation for SDL design. Why?.
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As self-driving laboratories (SDLs) continue to gain momentum in chemistry and materials research, itโs critical to ask: Are we just automating yesterdayโs tools, or are we rethinking experimentation from the ground up?.
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Excited to share our latest article published in ๐๐๐ญ๐ฎ๐ซ๐ ๐๐ก๐๐ฆ๐ข๐๐๐ฅ ๐๐ง๐ ๐ข๐ง๐๐๐ซ๐ข๐ง๐ :. โ๐๐ฏ๐จ๐ช๐ฏ๐ฆ๐ฆ๐ณ๐ช๐ฏ๐จ ๐๐ณ๐ช๐ฏ๐ค๐ช๐ฑ๐ญ๐ฆ๐ด ๐ง๐ฐ๐ณ ๐๐ฆ๐ญ๐ง-๐๐ณ๐ช๐ท๐ช๐ฏ๐จ ๐๐ข๐ฃ๐ฐ๐ณ๐ข๐ต๐ฐ๐ณ๐ช๐ฆ๐ดโ. @NatChemEng @NCStateEngr
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RT @Sci_Fig: Our recent Advanced Materials cover @AdvPortfolio.for @AbolhasaniLab ,@Milad_RoboChem on Photo-Induced Bandgap Engineering ofโฆ.
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RT @Milad_RoboChem: Honored to receive the 2025 ACS Sustainable Chemistry & Engineering Lectureship Award!. @NCStaโฆ.
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RT @ACIN_Conference: ๐ดExplore colloidal nanocrystals synthesis from size, shape control to surface coordination at the American Conferenceโฆ.
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RT @Milad_RoboChem: Had a fantastic time at IMRET17 in Graz! Huge thanks to @KappeLab for the invitation to deliver a plenary talk. Such aโฆ.
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RT @PhotoReAct1: Presenting the next speakers for the PhotoReAct Final Conference!! Join us in Amsterdam from Dec 2-4 where Charlotte Wilesโฆ.
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RT @CastellanoGroup: We had a blast hosting @ExplorisSchool for two days of showing cool chemistry to excited students! Huge thanks to @susโฆ.
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RT @Milad_RoboChem: Excited to officially begin my role as @NCState_ISI's Director of Accelerated Technologies. @NCState @NCStateEngr . httโฆ.
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RT @NatureSynthesis: Now online:. Review article by Richard B. Canty & Milad Abolhasani @Abolhasanilab @NCStateEngr . Reproducibility in auโฆ.
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Check out our latest paper in @NatureSynthesis discussing the automation language aspect of reproducibility in automated and autonomous labs: . @NCStateNews @NCStateEngr
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RT @NatChemEng: Another throwback! . In our March issue, Milad Abolhasani & co-workers report on a self-driving catalysis laboratory forโฆ.
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