18 July 2025

SCI Early career materials 2025: Industrial Revolution 4.0: AI in Materials Science

Organised by:

SCI’s materials early career committee

SCI, London, UK

Register your interest
Synopsis
The ECR Materials annual conference returns this year, continuing our committee theme of  AI and ML for materials synthesis and analysis. Join us to take part in discussions, talks and networking opportunities between researchers and business in and associated with the field of artificial intelligence and machine learning for materials discovery, design and development.

There will be a particular focus on providing early career researchers with a platform on which to showcase their research, and we will be joined by prominent and well-established scientists to provide an overview of the scientific field at large. We are looking for abstracts in the following areas:

AI/ML for materials discovery
AI/ML for materials development and optimisation
AI/ML for materials analysis and characterisation
 

Attendees
This event is aimed at researchers in materials chemistry and specifically in the fields and sub-fields of battery materials in its various forms.

It will look to bring researchers from all career stages together but maintaining an opportunity for ECRs to showcase work and develop contacts and network. It is also aimed at industry partners looking for new avenues of research into battery applications.

Programme

Friday 18 July 2025

09.30
Registration and refreshments
10.00
Keynote 1: AI/ML for Materials discovery – finding new materials
11.00
ECR talk 1 (Open call) (Materials discovery)
11.20
Refreshment break
11.40
Industry approaches to Materials discovery
12.10
ECR talk 2 (Open call) (Materials discovery/Materials property/Function assaying)
12.30
Industry approaches to Materials analysis
13.00
Lunch
14.00
ECR talk 3 (Open call) (Materials analysis/Characterisation)
14.20
IP Considerations for AI/ML in Chemistry
14.40
Industry approaches to Materials characterisation
15.10
Refreshment break
15.30
Keynote 2: From Conceptualisation to characterisation
17.00
Networking reception and posters

Call for oral and poster abstracts
Contributions are invited from early-stage researchers and PhD students working in the materials science field, focused on battery materials, to submit an abstract for an oral or poster presentation.  

AI/ML for materials discovery
AI/ML for materials development and optimisation
AI/ML for materials analysis and characterisation

The poster session will be held in the garden room at Belgrave square during the lunch break and after the talks. 

An abstract of maximum 250 words indicating title, authors, institution and preference for presentation option (oral presentation or virtual poster) should be sent to conferences@soci.org by Wednesday 30 April 2025 with the subject line “SCI AI/ML Mat - abstract submission”. Presentation slots are inevitably limited and will be allocated to achieve a balanced programme – researchers will be invited to contribute a poster if their submission is not chosen for oral presentation. Prizes will be awarded for the best presentation and poster. An abstract template can be downloaded.
Sponsorship information
For further information and prices, please email conferences@soci.org.


Accessibility Grants

SCI accessibility grants are available to support SCI members with disabilities, long term health conditions, those who require a carer, and members who are nursing parents to attend SCI events. Download an application form to apply for a grant.


Venue and Contact

SCI

14/15 Belgrave Square
London
SW1X 8PS

Conference Team

Tel: +44 (0)20 7598 1561

Email: conferences@soci.org


Booking Process/Deadlines

Booking terms and conditions


CPD Info

SCI Members attending this meeting are able to claim CPD points.

Accredited cpd Centre - The CPD Standards Office - CPD Provider 41057 - www.cpdstandards.com


Organising committee
Shereen Aboarkaba, Synthomer
Hatem Amli, MSS Products 
Mark Isaacs, University College London / HarwellXPS
Leanne Jones, University of Oxford 
Ben Moss, Imperial College London
Chris Parlett, University of Manchester / Diamond Light Source
Angus Pederson, Imperial College London
Cameron Price, University of Manchester
Jack Swallow, University of Oxford
James Wickson, Croda