Dorota Matras
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View article: Battery Imaging Library: Multi-length scale and multi-modal synchrotron and laboratory battery imaging data for all
Battery Imaging Library: Multi-length scale and multi-modal synchrotron and laboratory battery imaging data for all Open
Battery research increasingly relies on advanced imaging, yet open access to such data remains rare, scattered across various sources, and difficult to find. The Battery Imaging Library (BIL) is the first open, curated collection of multi-…
View article: A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres
A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres Open
View article: A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres
A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres Open
XRD-CT data presented in the manuscript: "A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres" by Clement Jacquot et al. The h5 files contained the integrated and reshaped diffraction datas as well as a native 2the…
View article: A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres
A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres Open
XRD-CT data presented in the manuscript: "A multi-scale study of 3D printed Co-Al2O3 catalyst monoliths versus spheres" by Clement Jacquot et al. The h5 files contained the integrated and reshaped diffraction datas as well as a native 2the…
View article: A flexible, scalable generative network for self-supervised tomographic image reconstruction
A flexible, scalable generative network for self-supervised tomographic image reconstruction Open
We present a lightweight and scalable artificial neural network architecture which is used to reconstruct a tomographic image from a given sinogram. A self-supervised learning approach is used where the network iteratively generates an ima…
View article: A scalable neural network architecture for self-supervised tomographic image reconstruction
A scalable neural network architecture for self-supervised tomographic image reconstruction Open
We present a lightweight and scalable artificial neural network architecture which is used to reconstruct a tomographic image from a given sinogram.
View article: A Multi-Scale Study of 3d Printed Co-Al2o3 Catalyst Monoliths Versus Spheres
A Multi-Scale Study of 3d Printed Co-Al2o3 Catalyst Monoliths Versus Spheres Open
View article: A flexible, scalable generative network for self-supervised tomographic image reconstruction
A flexible, scalable generative network for self-supervised tomographic image reconstruction Open
We present a lightweight and scalable artificial neural network architecture which is used to reconstruct a tomographic image from a given sinogram. A self-supervised learning approach is used which overcomes the problem related to having …
View article: Emerging chemical heterogeneities in a commercial 18650 NCA Li-ion battery during early cycling revealed by synchrotron X-ray diffraction tomography: Datasets
Emerging chemical heterogeneities in a commercial 18650 NCA Li-ion battery during early cycling revealed by synchrotron X-ray diffraction tomography: Datasets Open
Integrated interlaced XRD-CT dataset
View article: Emerging chemical heterogeneities in a commercial 18650 Li-ion battery during early cycling
Emerging chemical heterogeneities in a commercial 18650 Li-ion battery during early cycling Open
Synchrotron X-ray diffraction computed tomography (XRD-CT) was employed to study a commercial 18650 cylindrical LiNi0.8Co0.15Al0.5O2 (NCA) battery under operating conditions and during seven cycles. Multiple chemical heterogeneities relate…
View article: Emerging chemical heterogeneities in a commercial 18650 Li-ion battery during early cycling
Emerging chemical heterogeneities in a commercial 18650 Li-ion battery during early cycling Open
X-ray diffraction computed tomography (XRD-CT) was employed to study a commercial 18650 cylindrical LiNi0.8Co0.15Al0.05O2 (NCA) battery under operating conditions and during seven cycles. Multiple chemical heterogeneities related to the li…
View article: Cycling Rate‐Induced Spatially‐Resolved Heterogeneities in Commercial Cylindrical Li‐Ion Batteries
Cycling Rate‐Induced Spatially‐Resolved Heterogeneities in Commercial Cylindrical Li‐Ion Batteries Open
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…
View article: Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries: Datasets
Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries: Datasets Open
Sinogram XRD-CT data used in the manuscript entitled "Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries".
View article: Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries: Datasets
Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries: Datasets Open
Sinogram XRD-CT data used in the manuscript entitled "Cycling Rate-Induced Spatially-Resolved Heterogeneities in Commercial Cylindrical Li-Ion Batteries".
View article: A deep convolutional neural network for real-time full profile analysis of big powder diffraction data
A deep convolutional neural network for real-time full profile analysis of big powder diffraction data Open
We present Parameter Quantification Network (PQ-Net), a regression deep convolutional neural network providing quantitative analysis of powder X-ray diffraction patterns from multi-phase systems. The network is tested against simulated and…
View article: A deep convolutional neural network for real-time full profile analysis of big powder diffraction data: Datasets
A deep convolutional neural network for real-time full profile analysis of big powder diffraction data: Datasets Open
Training and test datasets used in the manuscript entitled "A deep convolutional neural network for real-time full profile analysis of big powder diffraction data".
View article: A deep convolutional neural network for real-time full profile analysis of big powder diffraction data: Datasets
A deep convolutional neural network for real-time full profile analysis of big powder diffraction data: Datasets Open
Training and test datasets used in the manuscript entitled "A deep convolutional neural network for real-time full profile analysis of big powder diffraction data".
View article: Real-time tomographic diffraction imaging of catalytic membrane reactors for the oxidative coupling of methane
Real-time tomographic diffraction imaging of catalytic membrane reactors for the oxidative coupling of methane Open
View article: Multi-Scale Studies of 3D Printed Mn–Na–W/SiO2 Catalyst for Oxidative Coupling of Methane
Multi-Scale Studies of 3D Printed Mn–Na–W/SiO2 Catalyst for Oxidative Coupling of Methane Open
This work presents multi-scale approaches to investigate 3D printed structured Mn–Na–W/SiO2 catalysts used for the oxidative coupling of methane (OCM) reaction. The performance of the 3D printed catalysts has been compared to their convent…
View article: Multi-length scale 5D diffraction imaging of Ni–Pd/CeO<sub>2</sub>–ZrO<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> catalyst during partial oxidation of methane
Multi-length scale 5D diffraction imaging of Ni–Pd/CeO<sub>2</sub>–ZrO<sub>2</sub>/Al<sub>2</sub>O<sub>3</sub> catalyst during partial oxidation of methane Open
Operando 5D X-ray diffraction imaging reveals complex heterogeneities across multiple length scales in a catalytic reactor for the partial oxidation of methane reaction.
View article: DLSR: a solution to the parallax artefact in X-ray diffraction computed tomography data
DLSR: a solution to the parallax artefact in X-ray diffraction computed tomography data Open
A new tomographic reconstruction algorithm is presented, termed direct least-squares reconstruction (DLSR), which solves the well known parallax problem in X-ray-scattering-based experiments. The parallax artefact arises from relatively la…
View article: Identifying the Origins of Microstructural Defects Such as Cracking within Ni‐Rich NMC811 Cathode Particles for Lithium‐Ion Batteries
Identifying the Origins of Microstructural Defects Such as Cracking within Ni‐Rich NMC811 Cathode Particles for Lithium‐Ion Batteries Open
The next generation of automotive lithium‐ion batteries may employ NMC811 materials; however, defective particles are of significant interest due to their links to performance loss. Here, it is demonstrated that even before operation, on a…
View article: DLSR datasets
DLSR datasets Open
Simulated and experimental xrd-ct datasets used for the Topas implementation of the DLSR algorithm
View article: DLSR datasets
DLSR datasets Open
Simulated and experimental xrd-ct datasets used for the Topas implementation of the DLSR algorithm
View article: Multiscale investigation of adsorption properties of novel 3D printed UTSA-16 structures
Multiscale investigation of adsorption properties of novel 3D printed UTSA-16 structures Open
Structuring MOF materials is a fundamental step towards their commercialization. Herein we report intensive characterization of 3D-printed UTSA-16 monoliths, facilitated by the development of a new non-aqueous ink formulation, employing hy…
View article: Real-time multi-length scale chemical tomography of fixed bed reactors during the oxidative coupling of methane reaction
Real-time multi-length scale chemical tomography of fixed bed reactors during the oxidative coupling of methane reaction Open
View article: Effect of thermal treatment on the stability of Na–Mn–W/SiO<sub>2</sub> catalyst for the oxidative coupling of methane
Effect of thermal treatment on the stability of Na–Mn–W/SiO<sub>2</sub> catalyst for the oxidative coupling of methane Open
The effect of different calcination protocols on the performance of a Na–Mn–W/SiO2 catalyst is studied with laboratory and synchrotron X-ray based characterisation techniques.
View article: <i>In situ</i> X-ray diffraction computed tomography studies examining the thermal and chemical stabilities of working Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.8</sub>Fe<sub>0.2</sub>O<sub>3−δ</sub> membranes during oxidative coupling of methane
<i>In situ</i> X-ray diffraction computed tomography studies examining the thermal and chemical stabilities of working Ba<sub>0.5</sub>Sr<sub>0.5</sub>Co<sub>0.8</sub>Fe<sub>0.2</sub>O<sub>3−δ</sub> membranes during oxidative coupling of methane Open
In situ XRD-CT and post-reaction SEM/EDX were used to study the solid-state chemistry and structural changes of Ba0.5Sr0.5Co0.8Fe0.2O3−δ membrane reactors during the oxidative coupling…
View article: 3D printed Ni/Al2O3 based catalysts for CO2 methanation - a comparative and operando XRD-CT study
3D printed Ni/Al2O3 based catalysts for CO2 methanation - a comparative and operando XRD-CT study Open
View article: Sustainable iron-based oxygen carriers for hydrogen production – Real-time operando investigation
Sustainable iron-based oxygen carriers for hydrogen production – Real-time operando investigation Open