SciML

Scientific machine learning group based in @SciComp_STFC - we use ML/AI to push the boundaries of science. Part of UK Research and Innovation

[SciML @ml_sci]

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

[SciML @ml_sci]

For those, who cannot access the job listing via shorturl, here is the full link https://t.co/DdXayRqlHl

[SciML @ml_sci]

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! https://t.co/YvWKxMSBuR @STFC_Matters @SciComp_STFC @HarwellCampus #datascientist #careers #MachineLearning

[SciComp_STFC @SciComp_STFC]

We have just published the SCD 2021/2022 #AnnualReview!🎉🖥️

Follow the link below to find out what we have been working on recently!👨‍💻🖱️

https://t.co/fmFJdYuqeG

[SciML @ml_sci]

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

[SciML @ml_sci]

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

[SciML @ml_sci]

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.💪 🤝🦾

[SciComp_STFC @SciComp_STFC]

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.

[SciML @ml_sci]

Interesting discussions about applying Machine Learning to Inelastic Neutron Scattering at #ICNS2022.

[SciML @ml_sci]

The opening plenary talk by Professor Pozzo at #ICNS2022 in Buenos Aires demonstrated importance of AI in #neutronscattering!

[SciML @ml_sci]

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.https://t.co/mrM2Z9OjZ4

[SciML @ml_sci]

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: https://t.co/ZDyZ5xncPl

[SciML @ml_sci]

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. https://t.co/rlfLuo4xe5

[SciML @ml_sci]

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: https://t.co/4ieXZIj2ov

[SciML @ml_sci]

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 https://t.co/4ieXZIj2ov

[Machine Learning: Science and Technology @MLSTjournal]

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

[SciML @ml_sci]

A really fascinating presentation - thanks Matt. And particularly thanks for making these great resources public 👏👏

[SciML @ml_sci]

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!

[Machine Learning: Science and Technology @MLSTjournal]

This is sure to be great! Read the fantastic related review by @NArtrith @TobiasMorawietz @GroupKaestner @AlexUrban42 et al in @MLSTjournal at https://t.co/x3KK9eeggZ #compchem #materials #machinelearning #energy

[SciML @ml_sci]

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: https://t.co/4ieXZIj2ov - some of Nong's great work here: https://t.co/l1kWzvKq8r