Details

The event will be combined with an online preview for the ‘Exploiting Machine Learning in Multiscale Modelling of Materials’ conference which was originally planned to take place this summer but which has been delayed to 29-31 March 2021 because of the Covid-19 pandemic.

The programme includes 3 science highlight talks focussing on the ‘high-performance alloys’ research theme, as well poster presentations from the first HetSys cohort and an overview of upcoming HetSys PhD projects. For industrial and academics partners, there will be also be an opportunity to discuss PhD projects for 2021. The tentative schedule is provided below.

Programme

09:45-10:00	Virtual coffee and Blackboard familiarisation
10:00-16:00	Student posters available online
10:00-10:30	Welcome and overview of HetSys PhD projects running in 2019 and 2020
10:30-11:15	Highlight Talk #1 – Anoop Krishnan (IIT Delhi), Rational Design of Glasses using Deep Learning
11:15-12:00	Poster Shout Out – 5 minutes per student
12:00-13:00	Lunch and poster discussion with current HetSys students
13:00-13:45	Highlight Talk #2 – Livia Bartok-Partay (Warwick), High-throughput computational thermodynamics
13:45-14:30	Highlight Talk #3 – Thomas Hammerschmidt (ICAMS, Ruhr University Bochum), Machine-learning material properties with domain knowledge of the interatomic bond
14:30-14:45	Tea Break
14:45-15:30	Choice of: Breakout discussions on HetSys PhD projects for 2021: Materials and Molecules by Design with Scientific Machine Learning - James Kermode Multiscale Modelling of Fluids and Solids and related Phase Transitions - Lukasz Figiel Bridging overlapping scales in modelling complex materials - Julie Staunton Poster session continued
15.30-15.45	Closing comments

Abstracts

For abstracts please click here.