Entries by Corinne Anyika

Finden at the Big Science Summit

Our Director Simon Jacques discussed how best to boost the economic impact of Europe’s research facilities along with delegates at the recent Big Science Summit in Malmö, Sweden, read the article on the event by Joe McEntee in Physics World at https://physicsworld.com/a/building-bridges-between-big-science-and-industry/

Faraday Conference – ECR Themes

16 November 2021 Session: Advanced X-ray and Neutron techniques Dr Stephen Price is an Industrial Research Fellow with the University of Sheffield, and will be presenting at the ECR day of the Faraday Institution Conference 2021. He will present an overview of the advanced X-ray and analytical techniques Finden has been developing, and how these […]

Finalists in xTech Global AI Challenge

We were delighted to be among the finalists of the xTech Global AI Challenge sponsored by the U.S. Army Combat Capabilities Development Command (DEVCOM), U.S. Air Force AFWERX, U.S. Navy Office of Naval Research-Global and the Assistant Secretary of the Army for Acquisition, Logistics and Technology. Our Research Scientist Dr Naomi Omori attended the finalist […]

Latest work on diffraction tomography of a commercially-available cylindrical NMC liion battery

We are excited to share with you our work on a commercially-available cylindrical NMC li-ion battery using XRD-CT. The paper, entitled “Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries, was published as open access in Small Methods: https://onlinelibrary.wiley.com/doi/10.1002/smtd.202100512. The work was led by our R&D Lead Scientist Dr Antony Vamvakeros and Dr Dorota Matras […]

Work on an industrially-sized PEM fuel cell published

Finden scientists Dr Antony Vamvakeros and Dr Simon Jacques have collaborated with collaborated with a big team from multiple institutions including ESRF, Université Grenoble Alpes and University of British Columbia to investigate an industrially-relevant PEM fuel cell using diffraction tomography. You can see the paper, entitled “Imaging Heterogeneous Electrocatalyst Stability and Decoupling Degradation Mechanisms in […]

Finden join new network of scientific service providers at MIXN

Finden have joined a network of mediator companies at MIXN. As mediators, Finden will be one of the companies helping industry access product insight by use of x-rays and neutrons. The network work with advanced synchrotron and neutron facilities across Europe, helping customers work within sectors as diverse as pharmaceuticals, energy, and engineering. We are pleased […]

Finden are pleased to be named as external service providers to the TEESMAT platform

Finden are pleased to be named as external service providers to the TEESMAT platform (https://www.teesmat.eu/about-us/), “a comprehensive response to the critical bottlenecks faced by EU stakeholders in the field of electrochemical energy storage materials. It leverages EU know-how & expertise from 11 countries and facilitates access to physical facilities, usable data, and industrially relevant services based […]

Finalists Emerging Technologies Competition 2021

We are thrilled to be nominated as Finalists in the Enabling Technologies category of the Emerging Technologies Competition: 2021. The Emerging Technologies Competition is the Royal Society of Chemistry’s annual initiative for early stage companies and academic entrepreneurs who want to commercialise their technologies to make a societal impact. The Final is coming up on the […]

Dr Stephen Price Faraday Institution Industrial Research Fellowship

We are delighted our Senior Scientist Dr Stephen Price has received a Faraday Institution Industrial Research Fellowship. He will be working with the FutureCat project to discover, develop and deploy the next generation of cathode materials to drive the transition towards electric vehicles. Dr Stephen Price will be working in collaboration with the University of […]

Work on regression CNN that performs full profile analysis of powder diffraction data published in new paper

PhD candidate Hongyang Dong and Finden research scientists have developed a regression CNN that performs full profile analysis of powder diffraction data yielding physicochemical information (scale factors, lattice parameters and crystallite size) from multiphase systems. This project was performed in collaboration with National Physical Laboratory, STFC Scientific Machine Learning Group and UCL Department of Chemistry. […]