TYC 7th Energy Materials workshop: from data to discovery of new energy materials

Venue: Imperial College London, White City Campus (in-person)

Materials are pivotal to solving the grand challenges that face humanity in the 2020s and beyond, for example the transition to renewable energy and a more sustainable economy. Often a new material with radically new or improved properties will unlock a new application or make an existing application suddenly economically or technologically viable.

A major challenge, however, is the enormous size of the chemical composition space of materials, which quickly explodes with the number of elements for solid-state materials or the size of molecules for molecular materials. This makes it extremely hard to explore the chemical space of materials properly with experiment and theory alike, meaning that only a small fraction of all potentially realizable materials have been studied. The recent dramatic advances in robotic synthesis and characterisation platforms address this issue from an experimental perspective, while on the theory front machine learning and material informatics methods have been developed to accelerate screening. Both theoretical and experimental advances are now being integrated in terms of self-driving labs and automated discovery.

In this workshop we will bring together the theoretical and experimental community to discuss how we can accelerate material discovery for energy applications, e.g. new semiconductors for solar cells or light emitting diodes or new materials that intercalate ions for batteries, and importantly how we can do so by integrating robotic experiment and computational prediction and by making optimal use of the data generated. In contrast to other meetings which often discuss either theoretical or experimental advances in this field, our focus on how theory and experiment can be integrated in an optimal way makes this meeting unique, as well as our focus on materials that will be practically relevant for energy generation, conversion and storage rather than materials in the abstract.

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Register for the workshop here:

Submit your Contributed Talk / Poster abstracts here:

Abstract submission deadline for contributed talks / poster EXTENDED TO MONDAY 22 April 2024
Registration deadline (£150 pounds): 1 June 2024

We may be able to provide some financial assistance for delegates who experience financial strain by registering for this workshop.  Please send an email to the organising committee at tyc-administrator@ucl.ac.uk justifying your reason for applying for support to attend the meeting.

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Programme

Wednesday afternoon (July 24): Automation and acceleration 

2.00pm: Matthew Rosseinsky (Liverpool): TBA
2.30pm: Kedar Hippalgaonkar (NTU): Property-directed generative design and experimental validation of inorganic crystals
3.00pm: Coffee break
3.30pm: Becky Greenaway (Imperial): High-Throughput Approaches for the Discovery of Organic Materials
4.00pm: Robert Palgrave (UCL): Challenges in high-throughput inorganic material prediction and autonomous synthesis
4.30pm:  2 x Contributed
5.00pm:  Discussion 
5.30pm: Poster session

Thursday morning (July 25): From atoms to devices 

9.30am: Pascal Friederich (KIT): Machine Learning for Simulation, Understanding, and Design of Molecules and Materials
10.00am: 2 x Contributed
10.30am: Coffee break
11.00am: Alexander Bagger (DTA): Data-driven symbiosis between computations & experiments for electrochemical reactions
11.30am: Emiliano Cortes (Munich):  Energizing materials with sunlight
12:00pm: Discussion
12.30pm: Lunch 

Thursday afternoon: Data for large-scale facilities and benchmarks 

2.00pm: Jeremy Frey (STFC): The Physical Sciences Data Infrastructure (PSDI)
2.30pm: Tom Penfold (Newcastle): Deep Neural Networks for X-ray Spectroscopy: Hero or Zero?
3.00pm: 2 x Contributed 
3.30pm: Coffee
4.00pm: Alex Ganose (Imperial): TBA
4.30pm: Jaqui Cole (Cambridge): TBA
5.00pm: Discussion

Friday morning (July 27): From force fields to generative models

9.30am: Seungwu Han (Seoul): Application of pretrained machine learning force fields to energy materials
10.00am: 2 x Contributed
10.30am: Coffee
11:00am: Tian Xie (Microsoft): MatterGen: a generative model for inorganic materials design
11.30am: Volker Deringer (Oxford): Machine-learning-driven advances in modelling battery materials on the atomic scale
12.00pm: Discussion
12.30pm: End of Conference

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Generously sponsored by the Ada Lovelace Centre, APL Machine Learning, CCP9, CECAM, the Henry Royce Institute, Psi-k, and STFC

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Suggested hotel: Dorsett Hotel, Shepherds Bush

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Contact:
Johannes Lischner
j.lischner@imperial.ac.uk

Organisers:
Keith Butler – University College London
Clotilde Cucinotta – Imperial College London
Johannes Lischner – Imperial College London
Alin Marin Elena – Science & Technology Facilities Council (STFC)
Alex Shluger – University College London
Karen Stoneham – University College London
Aron Walsh – Imperial College London
Martijn Zwijnenburg – University College London

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By registering for this conference, you agree to our code of conduct for the event.

Code of Conduct

We value the participation of every member of the materials and molecular modelling community and want to ensure that everyone has an enjoyable and fulfilling experience, both professionally and personally. Accordingly, all participants of the 7th Energy Materials Workshop are expected to always show respect and courtesy to others.  The TYC and its partners strive to maintain inclusivity in all of our activities.  All participants (staff and students) are entitled to a harassment-free experience, regardless of gender identity and expression, sexual orientation, disability, physical appearance, body size, race, age, and/or religion. Harassment in any form is not acceptable for any of us.  We respectfully ask all attendees of the 7th Energy Workshop to kindly conform to the following Code of Conduct:

• Treat all individuals with courtesy and respect.
• Be kind to others and do not insult or put down other members.
• Behave professionally. Remember that harassment and sexist, racist, or exclusionary jokes are not appropriate.
• Harassment includes, but is not limited to, offensive verbal comments related to gender, sexual orientation, disability, physical appearance, body size, race, religion, sexual images in public spaces, deliberate intimidation, stalking, following, harassing photography or recording, sustained disruption of discussions, and unwelcome sexual attention.
• Participants asked to stop any harassing behaviour are expected to comply immediately.
• Contribute to communications with a constructive, positive approach.
• Be mindful of talking over others during presentations and discussion and be willing to hear out the ideas of others.
• All communication should be appropriate for a professional audience, and be considerate of people from different cultural backgrounds. Sexual language and imagery are not appropriate at any time.
• Challenge behaviour, action and words that do not support the promotion of equality and diversity.
• Arrive at the conference events punctually where possible.
• Show consideration for the welfare of your friends and peers and, if appropriate, provide advice on seeking help.
• Seek help for yourself when you need it.

Your data

Thank you for your interest in attending this workshop. Any information collected from you will be used to help us to organise the event, and to contact you with details relevant to the event only.