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UID:34451-1695038400-1695218400@www.psdi.ac.uk
SUMMARY:Machine Learning for Atomistic Modelling Autumn School 2023
DESCRIPTION:All places for the school have now been finalised\, for those attending please ensure your payment is made by 1st September. \n			\n				\n				\n				\n				\n				\nDate of Event: 18th 12:00 – 20th September 14:00\nLocation: Daresbury Laboratory\, in person event\nFee: £100 (covers 2 nights accommodation and catering)\nPre-requisites: Students will be expected to bring their own laptop\, to have a decent level of coding experience (see pre-requisites below) and provide a letter of support from their supervisor\n\n			\n				\n				\n				\n				\n				Description\nThis machine learning for materials training course is being run by the Physical Sciences Data Infrastructure (PSDI) initiative in collaboration with PSDS\, AI4SD\, STFC-SCD and CCP5.This training is targeted towards PhD students\, in particular those in the Materials and Molecular Simulations field. The aim of this training is to introduce attendees to the latest methods of machine learning applied to atomistic simulation of materials. \nThis training will encompass a number of talks and practical sessions\, focusing on the basics of machine learning\, machine learning interatomic potentials and graph neural networks. There will also be the opportunity for attendees to present a poster on their work. \n			\n				\n				\n				\n				\n				Learning outcomes\n\nAwareness of the state-of-the-art methods for machine learning for atomic and molecular simulations\nHands on experience of using machine learning for atomic and molecular simulations\n\nOutline Agenda – Draft\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 1 – 18th\n\n12:00 – 13:00: Registration & Lunch\n13:00 – 13:30: Introduction\n13:30 – 15:00: Lecture Session: Basic introduction to ML topics – Reinhard Maurer\n15:00 – 15:30: Coffee Break\n15:30 – 17:15: Practical session: Basic ML worked example – Reinhard Maurer\n17:30 – 18:30: Research Seminar – Aron Walsh\n19:00: BBQ\n\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 2 – 19th\n\n09:00 – 10:30: Lectures (1h30) Machine Learning Interatomic Potentials – Ioan Magdau\n10:30 – 11:00: Coffee\n11:00 – 12:30: Practical Session MLIP (1h30) – Ioan Magdau + Alin-Marin Elena\n12:30 – 14:00: Lunch\n14:00 – 15:30: Practical Session MLIP (1h30) – Ioan Magdau + Alin-Marin Elena\n15:30 – 16:00: Coffee\n16:00 – 18:00: Lectures: GNN talks – Keith Butler + Alex Ganose\nPoster session evening + buffet / pizza\n\n			\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Day 3 – 20th\n\n09:00 – 10:30: Practical Session: Building and training GNN – Keith Butler & Alex Ganose\n10:30 – 11:00: Coffee\n11:00 – 12:30: Practical Session: Using pre trained networks – Keith Butler & Alex Ganose\n12:30 – 14:00: Lunch & Departure\n\n			\n			\n				\n				\n				\n				\n			\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				\n				Pre-requisites\nStudents attending this course must already have a foundational level of Python experience and hands on experience of using Python in their research. You will be expected to provide your own laptop for the training course\, although software installation will not be required. A letter of support will be required from your supervisor alongside your application. This letter of support is to show the backing of your supervisor to attend the training and must be completed on headed paper\, but does not need to be detailed. A template of the minimum required content is available in this word document.  \nTimelines\nThe application deadline is 30th June 2023 (including letter of support from your supervisor). Applications are now closed. You will be informed of the outcome of your application on 1st August\, you will have to accept your place within 1 week and payment is required by 1st September. These timelines have been amended due to the exceptionally high number of applications we received.  \nFood and 2 nights accommodation is included in the £100 fee paid for this event\, travel to Daresbury is not included and will need to be covered by the attendee. Please note: places on this course are limited and in the event of oversubscription to the training course we will favour a diverse group of attendees.   \n			\n				\n				\n				\n				\n				All places for the school have now been finalised\, for those attending please ensure your payment is made by 1st September. \n			\n				\n				\n				\n				\n				Organising Committee \n\nAlin-Marin Elena\, Scientific Computing Department STFC \nKeith Butler\, Queen Mary University London \nReinhard Maurer\, University of Warwick \nKim Jelfs\, Imperial College London \nAlex Ganose\, Imperial College London\nSimon Coles\, University of Southampton \nSamantha Kanza\, University of Southampton \nNicola Knight\, University of Southampton 
URL:https://www.psdi.ac.uk/event/machine-learning-autumn-school-2023/
LOCATION:Daresbury Laboratory\, Keckwick Lane\, Daresbury\, WA4 4AD\, United Kingdom
CATEGORIES:Training
ATTACH;FMTTYPE=image/png:https://www.psdi.ac.uk/wp-content/uploads/2023/04/MLAutumnSchool-flyer.png
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