SciML @ml_sci
Scientific machine learning group based in @SciComp_STFC - we use ML/AI to push the boundaries of science. Part of UK Research and Innovation https://t.co/36cvvaZXvk Joined February 2019-
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Don't miss an invited talk by our Senior Data Scientist Kungdai Leng at JCNS Workshop 2022 @fzj_jsc for Neutron Science tomorrow, 13 October 2022! Learn what #ML can do for Small-Angle Scattering! #AIforScience @STFC_Matters @SciComp_STFC @RutherfordApLab @isisneutronmuon
For those, who cannot access the job listing via shorturl, here is the full link careersportal.co.uk/UKRI-careers/j…
Join our team! We have new openings for Data Scientist and Senior Data Scientist roles in our friendly and professional team @RutherfordApLab. Check it out! shorturl.at/cmosv @STFC_Matters @SciComp_STFC @HarwellCampus #datascientist #careers #MachineLearning
We have just published the SCD 2021/2022 #AnnualReview!🎉🖥️ Follow the link below to find out what we have been working on recently!👨💻🖱️ shorturl.at/pVY34
SciML presence at Alan Turing Meet today: Susmita Basak gave a talk about ML for science @STFC. It is very important to demonstrate what #MachineLearning can do for scientific research! @turinginst @SciComp_STFC
Happy Birthday, @yudapearl! 🎉🎉🎉 Named after this computational mathematician is our PEARL system which is available for scientists and researchers who form the 'AI for Science' community within the Alan Turing Institute and STFC. @STFC_Matters @SciComp_STFC @RutherfordApLab
Toby Perring @#ICNS2022 "Use ML as another tool in your armory BUT understand its limitations". This is why scientists and data scientists should always work together.💪 🤝🦾
If you're at #ICNS2022 don't miss the Plenary IV talk today by Toby Perring @isisneutronmuon! Toby and his colleagues have been working with our @ml_sci group to apply machine learning to experiments.
Interesting discussions about applying Machine Learning to Inelastic Neutron Scattering at #ICNS2022.
The opening plenary talk by Professor Pozzo at #ICNS2022 in Buenos Aires demonstrated importance of AI in #neutronscattering!
A new research paper led by SciML data scientists has been published in the J Appl Cryst.This is a methodological paper tackling the problem of form- and model-free multi-parameter inversion of a polydisperse system from small-angle scattering experiments.doi.org/10.1107/S16005…
Want to use your #MachineLearning skills to discover new exoplantes and have a chance to win up to $2000 AND get invited to a @NeuralPS workshop?? Check out the @ArielTelescope @ESA Ariel data challenge: ariel-datachallenge.space
SciML will have a strong presence at the @isisneutronmuon NMSUM conference this week. Check out talks from @SodeAndy and Deniza tomorrow if you want to know about our latest work using #MachineLearning to help accelerate #Neutron Science. scd.stfc.ac.uk/Pages/SciML-an…
A reminder that this Thursday at 13:00 BST we have @dr_k_choudhary joining us for the SciML @SciComp_STFC webinar to talk about the latest ML for materials science advances with JARVIS tools. More details and how to join: scd.stfc.ac.uk/Pages/SciML-Se…
A reminder that we have more great scientific ML webinars coming up. Interested in the FAIR ecosystem for science?- join @LinePouchard tomrrow - or the latest in JARVIS tools for ML materials design? - join @dr_k_choudhary next Thursday 13:00 BST scd.stfc.ac.uk/Pages/SciML-Se…
See what's trending in @MLSTjournal right now featuring great work by @VolpeResearch @teodorolaino @reymondgroup @pschwllr @acvaucher @PhilMaffettone @MichaelSFuhrer @JannisBorn @drugilsberg #compchem #machinelearning #datascience #quantum #materials #AI #synchrotron #openscience
A really fascinating presentation - thanks Matt. And particularly thanks for making these great resources public 👏👏
Delighted to be delivering our @SciComp_STFC SciML training in Machine Learning for Science to the @DiRAC_HPC today and for the next four days!
This is sure to be great! Read the fantastic related review by @NArtrith @TobiasMorawietz @GroupKaestner @AlexUrban42 et al in @MLSTjournal at bit.ly/30XM9DY #compchem #materials #machinelearning #energy
This week's SciML @SciComp_STFC seminar (Thurs 13:00 UK) we are excited to welcome @NArtrith talking about Modelling of Complex Energy Materials with Machine Learning - more details on joining: scd.stfc.ac.uk/Pages/SciML-Se… - some of Nong's great work here: iopscience.iop.org/article/10.108…
This week's SciML @SciComp_STFC seminar (Thurs 13:00 UK) we are excited to welcome @NArtrith talking about Modelling of Complex Energy Materials with Machine Learning - more details on joining: scd.stfc.ac.uk/Pages/SciML-Se… - some of Nong's great work here: iopscience.iop.org/article/10.108…
David Scanlon @scanlond81
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adam @adamsapnik
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Andrew S. Rosen @Andrew_S_Rosen
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9K Followers 10K Following A multidisciplinary, #openaccess journal devoted to the application and development of #machinelearning for the sciences. Published by @IOPPublishing.
Sergei Kalinin @Sergei_Imaging
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Anatole von Lilienfel... @ProfvLilienfeld
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Jan Jensen (janhjense... @janhjensen
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Roger Eccleston @RSEccleston
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Keith Butler @keeeto2000
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Diamond Light Source @DiamondLightSou
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ISIS Neutron and Muon... @isisneutronmuon
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Ben Blaiszik @BenBlaiszik
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Dr Anna Regoutz @bluebananna
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Yann LeCun @ylecun
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Volker Deringer @vl_deringer
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Laura Ratcliff @DrLauraRatcliff
599 Followers 629 Following Lecturer @BristolChem. I develop and apply large scale DFT software for simulating materials. I also bake, sew, and watch too much tennis.
Andy Sode Anker @SodeAndy
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Jarvist Moore Frost @JarvistFrost
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Assoc. Prof. Dr. M. U... @udmrzn
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