Dial-a-Molecule
@DialaMolecule
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Official feed of @EPSRC Grand Challenge Network Dial-a-Molecule. Striving to deliver molecules more efficiently since 2010. Account admin by @UnsworthChem
Joined February 2017
RT @RichBourne1981: Delighted to announce our EPSRC £1.2M grant ( to develop responsive chemical manufacturing fram….
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RT @Reid_Research: *AVAILABLE PhD POSITION IN DIGITAL CHEMISTRY*. We are excited to offer the 1st of several new positions in our team as p….
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RT @ChristieSteve: Very pleased to have been involved with bringing this together. Many thanks to all the contributors for supporting this!….
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RT @Adam_S_Nelson: This is a tenure-track position. I’d be very happy to talk to potential applicants who want to integrate data science an….
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RT @ChristieSteve: Delighted to be involved in a small in this. It was central to the @DialaMolecule Summer School, and hopefully will be a….
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RT @RichBourne1981: Fantastic to see the Flow/DoE practical developed from Dial-A-Molecule funding finally published in the special educati….
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RT @andrewjsurman: KCL Chemistry just advertised 2 academic positions: a lecturer (open), and reader (computational). .
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Opportunity to collaborate with Croda with support from KTN. Any interest @dialamolecule @DirAssembly ?
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RT @A_Aspuru_Guzik: Super excited to share our @ACSCentSci paper on #AI for Computer Vision for Chemical applications. This is very relevan….
pubs.acs.org
This work presents a machine learning approach for the computer vision-based recognition of materials inside vessels in the chemistry lab and other settings. In addition, we release a data set...
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RT @ChemRxiv: Summit: Benchmarking Machine Learning Methods for Reaction Optimisation by Alexei Lapkin & co-workers. .
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RT @luigi_davia: High-Throughput Automation In R and D @SuperScienceGrl and are "editors" this online journal to relevant literature for HT….
peeriodicals.com
This journal aims to be a repository of peer-reviewed articles on the use of HTE for small molecules and related topics in R&D laboratories.
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RT @ChemistryWorld: The machine learning model screens stability and compatibility to predict the chemical reactivity of organic materials….
chemistryworld.com
Machine-learning model tested on electrochemical systems
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RT @LapkinLab: We have just opened two fully funded PhD positions on AI/Machine Learning for chemical applications. Closing August 20. Plea….
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RT @GloriusGroup: Find out how to make machines learn chemistry!💻🧑🔬. Our @ChemSocRev tutorial on ML in synthetic chemistry (with @marwinse….
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RT @aicooper: Available now! Postdoctoral Research Associate in Autonomous Mobile Robots for Materials Discovery - ..
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