Scientific Machine Learning

29 Jul 2022

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​As such, the mission of the group is to explore how Machine Learning and other AI technologies can help scientists analyse the vast amounts of experimental data now being routinely generated by the large experimental facilities at the Rutherford Appleton Laboratory (RAL), STFC’s Harwell campus. With the rapid development in detector technologies and the emergence of new experimental techniques such as cryoEM, there are now major challenges for scientists to manage and process large datasets. We develop and apply various state-of-the-art AI technologies to accelerate scientific discovery. In addition to experimental data analysis, the group also focuses on AI-automated smart facilities and fundamental research on machine learning.​ SciML also provides a ​national AI computing service for the Alan Turing Institute and STFC researchers working on AI for Science, along with various training courses on scientific machine learning.

SciML routinely works with various facilities at RAL, such as Diamond Light Source, Central Laser Facility , ISIS Neutron and Muon Source, Technology Department, and NERC's Centre for Environmental Data Analysis and their JASMIN service. SciML is a partner with the Alan Turing Institute in their ‘Data Science for Science’ theme, also a Turing Hub at Harwell. Our activities at RAL complement the predominantly industry-focused work of the AI and Data Science Groups at the Hartree Centre. We also have a number of strong links with various national labs in the US. 

​​ Projects Our research in three directions: Experimental Data Analysis, Smart Facilities, and Core ML. ​​​​​

​ Course & Seminars Our one-week course on Machine Learning for Science and the SciML Seminars. ​

​ Resources Computing resources managed and used by us. ​​​​​

​​​​ People Meet our data scientists and students (real, not generated!). ​​​​​​

​​​GET IN TOUCH​		We always keep an open mindset towards scientific exchange and collaborations, constantly hosting visiting students and researchers and providing training courses on AI/ML for Science. For more information, please contact us via scdsciml@stfc.ac.uk.
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