6th UK Solar Fuels Symposium – 19-20 March 2018
Visit us at the 6th UK Solar Fuels Symposium on 19-20th March 2018 at the University of York.
Blue Scientific is the official distributor of electrochemistry instruments from Solartron Analytical and Princeton Applied Research in the UK, Ireland and Nordic region. If you have any questions or if you’d like a quote, please get in touch:
Solar Fuels Symposium
The Solar Fuels Symposium us an event for the UK solar fuels community, with invited speakers on the first day and a post-graduate symposium on the second day for PhD students and early career researchers to present their work. The aim of the event is to create an environment for members of the Solar Fuels Network to meet up and discuss the latest advances in solar-driven fuels research.
This year the event is chaired by Professor Robin Perutz and hosted by the University of York.
- Main meeting: Monday 19th March 2018
- Post-graduate symposium: Tuesday 20th March 2018 (morning)
Keynote presentation: Prof Mike Wasielewski, Northwestern University, RSC Physical Organic Chemistry prize winner
Invited speakers: Julea Butt (University of East Anglia), Sylvie Chardon-Noblat (Université Grenoble Alpes), Richard Douthwaite (University of York) and Junwang Tang (University College London).
The date of this event has now passed.
Postdocs, PhD students and principal investigators are invited to submit abstracts for talks and posters. There will be prizes for best poster and talk.
Abstract deadline: 7th February 2018
Visit Our Stand
Come and see us at the Blue Scientific stand, to find out about technology available for solar cells research:
Electrochemical testing system specifically optimised for studying solar cells.
- Multiple techniques, including IMPS, IMVS, I-V, charge extraction and PV decay, with automated data analysis
- Wide bandwidth impedance and capacitance measurements
- IPCE option available
Fully integrated photo-electrochemical measurement system for characterising Perovskite solar cells, DSSCs and more.
- Automatic data analysis
- Wide range of frequency and time domain measurement techniques
- IPCE module