This week's SciML SciComp_STFC seminar (Thurs 13:00 UK) we are excited to welcome Nong Artrith 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 is sure to be great! Read the fantastic related review by Nong Artrith Tobias Morawietz Johannes Kästner Alexander Urban et al in Machine Learning: Science and Technology at bit.ly/30XM9DY #compchem #materials #machinelearning #energy

Delighted to be delivering our SciComp_STFC SciML training in Machine Learning for Science to the DiRAC today and for the next four days!

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

See what's trending in Machine Learning: Science and Technology right now featuring great work by Giovanni Volpe Teodoro Laino Reymond Group Philippe Schwaller (he/him) Alain Vaucher @PhilMaffettone inactive account Jannis Born Matteo Manica #compchem #machinelearning #datascience #quantum #materials #AI #synchrotron #openscience

A reminder that we have more great scientific ML webinars coming up. Interested in the FAIR ecosystem for science?- join Line Pouchard tomrrow - or the latest in JARVIS tools for ML materials design? - join Dr. Kamal Choudhary next Thursday 13:00 BST scd.stfc.ac.uk/Pages/SciML-Se…

A reminder that this Thursday at 13:00 BST we have Dr. Kamal 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…

SciML will have a strong presence at the ISIS Neutron and Muon Source NMSUM conference this week. Check out talks from Andy Sode Anker 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…

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 Ariel Space Mission European Space Agency Ariel data challenge: ariel-datachallenge.space

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…

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

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

If you're at #ICNS2022 don't miss the Plenary IV talk today by Toby Perring ISIS Neutron and Muon Source! Toby and his colleagues have been working with our SciML group to apply machine learning to experiments.

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.💪 🤝🦾

Happy Birthday, Judea Pearl! 🎉🎉🎉 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. Science and Technology Facilities Council SciComp_STFC Rutherford Appleton Laboratory

SciML presence at Alan Turing Meet today: Susmita Basak gave a talk about ML for science Jonathan Ebsworth. It is very important to demonstrate what #MachineLearning can do for scientific research! The Alan Turing Institute 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!👨‍💻🖱️ shorturl.at/pVY34

Don't miss an invited talk by our Senior Data Scientist Kungdai Leng at JCNS Workshop 2022 FZ Jülich-JSC for Neutron Science tomorrow, 13 October 2022! Learn what #ML can do for Small-Angle Scattering! #AIforScience Science and Technology Facilities Council SciComp_STFC Rutherford Appleton Laboratory ISIS Neutron and Muon Source