Finden’s latest work working with VITO, National Institute of Chemistry Slovenija and UCL Chemistry has been published in a new paper by Clément Jacquot “A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres” in Chemical Engineering Journal Advances (open access). This study demonstrates the characteristics of two model packing configurations: 3D printed (3DP) […]
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 – […]
You can see the latest work from our former PhD student Dr Dorota Matras and our scientists on 5D chemical imaging in a new paper published at the Journal of Materials Chemistry A of the Royal Society of Chemistry (RSC): “Multi-length Scale 5D Diffraction Imaging of Ni-Pd/CeO2-ZrO2/Al2O3 Catalyst during Partial Oxidation of Methane“. The work […]
A team of scientists from Finden Ltd (Dr Stephen Price, Dr Simon Jacques and Prof Andrew Beale) in collaboration with Infineum UK Ltd (Dr Nathan Hollingsworth, Dr Matthew Irving) have used IMAT to help understand where and how coking occurs on engine components. This understanding will help develop more durable, fuel efficient lubricants. Read the […]
Synchrotron X-ray diffraction computed tomography (XRD-CT) is a marriage between powder diffraction and computed tomography using a “pencil” beam approach. The spatially-resolved signals obtained with XRD-CT can reveal information that would otherwise be lost in bulk measurements, which opens up new possibilities in functional material characterization. In this webinar, our research scientist Dr. Antony Vamvakeros […]
You can see our latest work on X-ray tomographic diffraction imaging of operating dense ceramic hollow-fibre catalytic membrane reactors (CMRs) – “Real-time tomographic diffraction imaging of catalytic membrane reactors for the oxidative coupling of methane” in Catalysis Today. The paper is a result of a collaboration between scientists at UCL Chemistry, Finden, ESRF, VITO and ISIS Neutron […]
Our latest work using multi-length scale chemical tomography to study fixed bed reactors during the oxidative coupling of methane reaction has just been published at the Journal of Catalysis. “Real-time multi-length scale chemical tomography of fixed bed reactors during the oxidative coupling of methane reaction” is a result of a collaboration between scientists at UCL, […]
Finden scientists’ new work on the design and application of a new cell for proton-exchange membrane fuel cells has been published in a new paper, “X-ray transparent proton-exchange membrane fuel cell design for in situ wide and small angle scattering tomography” in the Journal of Power Sources. The cell design and experimental work was performed […]
Our new work on a state-of-the-art SOFC has been published in a paper “Design of next-generation ceramic fuel cells and real-time characterization with synchrotron X-ray diffraction computed tomography“ in Nature Communications. Solid oxide fuel cells offer a clean and efficient means of producing electricity through a variety of fuels. However, miniaturization of cell dimensions for […]
The nDTomo software is now publicly available for download. Developed by our research scientist Dr. Antony Vamvakeros and primarily designed for processing XRD-CT data, it can be used for other tomographic techniques as well. The software suite contains GUIs for the acquisition, pre-processing and analysis of X-ray chemical tomography data. Download it at https://github.com/antonyvam/ndtomo