The Sustainable Reaction Engineering Lab at the University of Cambridge led by Professor Alexei Lapkin (@AlexeiLapkin). Student run twitter.

Joined July 2019
So excited for this talk from our own student @AniketC97!
🧤 Are you working with difficult-to-pipette, viscous fluids? We will be presenting Mass Balance Integration and Developing a Proxy High-Throughput Viscometer on Thursday, September 21st! Join us for this two-part presentation on 1️⃣ how to integrate a mass balance with the Opentrons liquid handling robot for automated gravimetric experiments, and 2️⃣ how to utilise this set-up as a proxy high-throughput viscometer. Sign up for this 60-minute webinar to learn: ⚗ How to retrofit the Opentrons for automated gravimetric experiments 🔬 Using the Opentrons as a proxy high-throughput viscometer Register today ⬇ insights.opentrons.com/webin…
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Congratulations to @DanielSWigh on winning the CatSci poster competition!
Replying to @CatSciLtd
@CatSciLtd & @LabLinks are thrilled to announce the winners of our Virtual Poster Competition... The winner of The CatSci Award: Daniel Wigh, @ChemCambridge @Cambridge_Uni The winner of The LabLinks Award: Jodie Hann, @BathChem @UniofBath Congratulations Daniel & Jodie!!!🎉
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Check out this perspective on our multi-task Bayesian optimization paper!
Self-Optimizing Flow Reactors Get a Boost by Multitasking NEW First Reactions by @JasonDW1012 and Oliver Kappe @KappeLab discussing work by @LapkinLab, Connor Taylor, & co-workers. Read it here: go.acs.org/5bR
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Alexei Lapkin @LapkinLab is kicking off the scientific program of #FCE23 with a talk on algorithms, automation and flow chemistry
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New work from our student @marcos_felt!
Congratulations to our one and only @marcos_felt for a new @ChemRxiv preprint, describing  a machine learning framework for PCP-SAFT parameter prediction. Excellent work at @LapkinLab in collaboration with colleagues from @RWTH & @BASF 🎉👏 chemrxiv.org/engage/chemrxiv…
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Congratulations to Shambawi on her new paper!
Many congratulations to our 2019 cohort student Shambhawi from @LapkinLab for her latest paper published in the @Chem_Eng_J.👏🏻🎉 A framework for creating simple/transferable partial reaction networks for micro-kinetics. #catalysis #microkinetics sciencedirect.com/science/ar…
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We've heard from many people that they'd like to use historical data to speed up reaction optimization. Out now in @ACSCentSci, we demonstrate a first step in this direction using multitask Bayesian optimization (MTBO)! pubs.acs.org/doi/10.1021/acs…
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This was a collaboration between Astex Pharma postdoc Connor Taylor and several members of our group @marcos_felt @DanielSWigh!
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Accelerated Chemical Reaction Optimization Using Multi-Task Learning #machinelearning #compchem cutt.ly/q7HehA0
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Trying to track down that extra impurity messing up your reactions? Check out our new paper on predicting reaction impurities in @ChemMethods! chemistry-europe.onlinelibra… #chemtwitter
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Congrats to Adarsh, Zhen and Simon for this great work!
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Congratulations to our former PhD student Jana for this new paper with the Kaminki group @mng_ceb @group_laser!
🧪🔬 We have developed ERnet, a new analysis software to detect subtle phenotypes in the endoplasmic reticulum (ER), a crucial cellular organelle. ERNet, just out in @Naturemethods, will empower drug & genetic screening processes. #Cambridge @group_laser @mng_ceb
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Lapkin Lab retweeted
During the first day of the iDMT's workshop we've had many discussions around the future of chemistry, developing satnavs for molecular discovery, how to make ChatGPT work for chemistry and more. Bring on day two!
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Reaction Impurity Prediction using a Data Mining Approach (@AlexeiLapkin et al. at @LapkinLab) #OpenAccess onlinelibrary.wiley.com/doi/…
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