We have just published the SCD 2021/2022 #AnnualReview!ππ₯οΈ
Follow the link below to find out what we have been working on recently!π¨βπ»π±οΈ
https://t.co/fmFJdYuqeG
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! πππ
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.πͺ π€π¦Ύ
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.
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
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 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
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
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
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