To get regular updates on all our news and events direct to your inbox
Sign up to our newsletter here
We invite applications for a Machine Learning and Tomography Scientist. The position is initially limited to 1 year. As the Machine Learning and Tomography Scientist, you will be responsible for developing algorithms and machine/deep learning models to handle, analyse and denoise X-ray CT, spectroscopy and diffraction/scattering data.
For more information and to apply visit – https://www.nature.com/naturecareers/job/machine-learning-and-tomography-scientist-finden-ltd-752936
Finden were pleased to be mentioned in the Faraday Institution 2020/21 Annual report on batteries. The report covers how the organisation is:
- Conducting ground-breaking research to improve battery performance
- Accelerating research to commercial outcomes
- Inspiring and training the next generation
- Informing policy and engaging the public.
More information in the Faraday Institution annual report on pages 59 and 66. You can read the full report at https://www.faraday.ac.uk/2020-21-annual-report/
The last publication of the CAROTS project: The CAROTS Startup Guide has been published. This guide has been written within the CAROTS project with contribution from our Director Dr Simon Jacques and CSO Prof Andrew Beale to help future founders of Scientific Service Companies (SSCs). It is a tailored guide that will help scientists on their way to starting up the next Scientific Service Company in Europe. In this guide they will learn about 1) different kinds of business models, 2) the market they will operate within, 3) how to take their service to market and sell it, 4) future ideas about intellectual property, and 5) how they will fund their startup in the early days.
You will find the guide for download at https://www.carots.eu/sites/sites_custom/site_carots/content/e114136/e151844/CAROTSStartupGuide.pdf
Finden, working with Infineum UK Ltd. and muVIS (Uni. Southampton), used micro-CT to quantify the beneficial effects of a fuel borne catalyst on the back pressure and filtration efficiency of a gasoline particulate filter tested under real world conditions.
Find the article at https://saemobilus.sae.org/content/04-15-02-0006/
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/
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 can be applied to better understand the structural origin of the improved electrochemical performance of the novel cathode materials being developed by the FutureCat project (https://futurecat.ac.uk/), led by Professor Serena Cussen.
This session focuses on the increasingly popular application of X-ray and neutron-based techniques to analyse, image and characterise batteries and their materials. These include both central-facility-based research and analysis that can be performed in university labs to improve the performance and safety of battery technology.
For more information visit https://faradayconference.org.uk/programme/ecr-themes/
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 pitch event, held at Imperial College London Innovation Hub on September 9-10, 2021. The finalists pitched their proposed solutions to a panel of AI experts from DEVCOM Army Research Laboratory (ARL), Air Force AI/ML Accelerator, Naval Information Warfare Center – Pacific (NIWC), DOD Joint AI Center (JAIC), UK Defense Science and Technology Lab (DSTL), and French Defence Innovation Agency (DIA).
Naomi said of the experience, “Being selected as a finalist and representing Finden was a great opportunity. Not only did we get the chance to pitch twice to a lot of useful contacts in the UK and US defence sector, we have also been granted access to an accelerator program that will help Finden to gain traction in this new field. Although we didn’t win any of the cash prizes, our technology pitch was very well received by many of the people I interacted with and it was great to see how the technologies Finden develops can be of interest to sectors beyond what they were originally developed for. I am looking forward to learning more through the xTech accelerator and disseminating useful information to the rest of the Finden team.”
Read more about the competition at https://www.army.mil/article/250419
Synchrotron high-energy X-ray diffraction computed tomography has been employed to investigate, for the first time, commercial cylindrical Li-ion batteries electrochemically cycled over the two cycling rates of C/2 and C/20. This technique yields maps of the crystalline components and chemical species as a cross-section of the cell with high spatiotemporal resolution (550 × 550 images with 20 × 20 × 3 µm3 voxel size in ca. 1 h). The recently developed Direct Least-Squares Reconstruction algorithm is used to overcome the well-known parallax problem and led to accurate lattice parameter maps for the device cathode. Chemical heterogeneities are revealed at both electrodes and are attributed to uneven Li and current distributions in the cells. It is shown that this technique has the potential to become an invaluable diagnostic tool for real-world commercial batteries and for their characterization under operating conditions, leading to unique insights into “real” battery degradation mechanisms as they occur.
Read the full paper at https://doi.org/10.1002/smtd.202100512
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 Operating Hydrogen Fuel Cells”, published at ACS Energy Letters here: https://pubs.acs.org/doi/10.
The proliferation of hydrogen fuel cell systems is hindered by a degradation of the platinum catalyst. Here, we provide a device-level assessment of the catalyst degradation phenomena and its coupling to nanoscale hydration gradients, using advanced operando X-ray scattering tomography tailored for device-scale imaging. Gradients formed inside the fuel cell produce a heterogeneous degradation of the catalyst nanostructure, which can be linked to the flow field design and water distribution in the cell. Striking differences in catalyst degradation are observed between operating fuel cell devices and the liquid cell routinely used for catalyst stability studies, highlighting the crucial impact of the complex operating environment on the catalyst degradation phenomena. This degradation knowledge gap accentuates the necessity of multimodal, in situ characterization of real devices when assessing the performance and durability of electrocatalysts and, more generally, electrochemically active phases used in energy conversion and storage technologies.
Read the full article at https://doi.org/10.1021/acsenergylett.1c00718
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 to join the network in helping customers access these modern techniques for material analysis.
Read more at – https://mixn.org