In the summer of 2021, AI3SD teamed up with the Directed Assembly Network to run a virtual summer school on Machine Learning 4 Materials & Chemicals which encompass our overlapping Network interests of AI, Machine Learning, Artificial Photosynthesis, Biomimetic Materials, Crystal Design & Engineering, Materials, Molecules, Photochemistry, Photocatalysis and Supramolecular Chemistry.
The summer school events were run every tuesday afternoon between the 6th July-24th August. The sessions were run privately for the summer school participants, however where the speakers gave permission for their talks to be made public we have added them to our AI3SD YouTube Channel. Please note the table below contains links to videos all of all of the speakers who gave permission for their talks to be shared, it is not an exhaustive list of the summer school speakers.
The full YouTube playlist for this Seminar Series can be found here: ML4MC Seminar Series Playlist
Date | Title | Speaker | Video Link | DOI | |
06/07/2021 | Directed Assembly of Materials – A 50 year retrospective Professor Chick Wilson (University of Bath) | Video Link | DOI Link | ||
13/07/2021 | Accelerated discovery for carbon capture solvents at IBM Research Dr Flaviu Cipcigan (IBM) | Not Available | Not Available | ||
20/07/2021 | DNA: coding blocks for biocompatible assembly & disassembly Dr Niek Buurma (Cardiff University) | Video Link | DOI Link | ||
20/07/2021 | Applying Machine Learning to Structured Time-course sensor data for Improved Chemical Outcomes and Reproducibility Dr David Pattison (Deep Matter) | Video Link | DOI Link | ||
20/07/2021 | Assembling peptide and protein structures Dr Anna Peacock (University of Birmingham) | Video Link | DOI Link | ||
27/07/2021 | How to detect unexpected features and physical processes in single-molecule data Professor Tim Albrecht (University of Birmingham) | Video Link | DOI Link | ||
27/07/2021 | Machine Learning with Causality in Chemistry Dr Bao Nguyen (University of Leeds) | Video Link | DOI Link | ||
27/07/2021 | Light and Directed Assembly Professor Julia Weinstein (University of Sheffield) | Not Available | Not Available | ||
10/08/2021 | Calibrated deep representations and entropy based active learning for materials property prediction Dr Keith Butler (STFC) | Video Link | DOI Link | ||
10/08/2021 | The Vast World of Very Small Holes: Metal-Organic Frameworks and Microporous Materials Dr Timothy Easun (Cardiff University) | Not Available | Not Available | ||
10/08/2021 | Quantifying crystal similarity to predict material properties Dr James Cumby (University of Edinburgh) | Video Link | DOI Link | ||
17/08/2021 | Simulation of chemical dynamics and spectroscopy with deep learning representations of electronic structure Dr Reinhard Maurer (University of Warwick) | Video Link | DOI Link | ||
17/08/2021 | Using machine learning for discovery in supramolecular materials Dr Kim Jelfs (Imperial College London) | Not Available | Not Available | ||
17/08/2021 | Understanding the solid form: Structural Systematics Crystal Sponges Professor Simon Coles (University of Southampton) | Video Link | DOI Link |