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Live Tapings of Material Formation: Unravelling formation mechanisms in materials chemistry through Multimodal X-ray total scattering studies

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan

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Publications

Formation and growth mechanism for niobium oxide nanoparticles: atomistic insight from in situ X-ray total scattering

Author(s): Olivia Aalling-Frederiksen, Mikkel Juelsholt, Andy S. Anker, Kirsten M. Ø. Jensen
Published in: Nanoscale, Issue 13/17, 2021, Page(s) 8087-8097, ISSN 2040-3364
Publisher: Royal Society of Chemistry
DOI: 10.1039/d0nr08299f

DeepStruc: Towards structure solution from pair distribution function data using deep generative models

Author(s): Emil T. S. Kjær; Andy S. Anker; Marcus N. Weng; Simon J. L. Billinge; Raghavendra Selvan; Kirsten M. Ø. Jensen
Published in: Digital Discovery, Issue 2, 2022, Page(s) 69-80, ISSN 2635-098X
Publisher: Royal Society of Chemistry
DOI: 10.1039/d2dd00086e

Atomic structural changes in the formation of transition metal tungstates: The role of polyoxometalate structures in material crystallization

Author(s): Susanne Linn Skjærvø; Andy S. Anker; Magnus C. Wied; Emil T. S. Kjær; Mikkel Juelsholt; Troels Lindahl Christiansen; Kirsten M. Ø. Jensen
Published in: Chemical Science, Issue 18, 2023, ISSN 2041-6520
Publisher: Royal Society of Chemistry
DOI: 10.1039/d3sc00426k

There's no place like real-space: elucidating size-dependent atomic structure of nanomaterials using pair distribution function analysis

Author(s): Troels Lindahl Christiansen, Susan R. Cooper, Kirsten M. Ø. Jensen
Published in: Nanoscale Advances, Issue 2/6, 2020, Page(s) 2234-2254, ISSN 2516-0230
Publisher: Royal Society of Chemistry
DOI: 10.1039/d0na00120a

A simple setup miniaturisation with multiple benefits for Green Chemistry in nanoparticle synthesis

Author(s): Jette Mathiesen; Susan Cooper; Andy Anker; Tiffany Kinnibrugh; Kirsten Jensen; Jonathan Quinson
Published in: ACS Omega, Issue 7, 2022, Page(s) 4714-4721, ISSN 2470-1343
Publisher: American Chemical Society
DOI: 10.1021/acsomega.2c00030

Structural Changes during the Growth of Atomically Precise Metal Oxido Nanoclusters from Combined Pair Distribution Function and Small‐Angle X‐ray Scattering Analysis

Author(s): Andy S. Anker, Troels Lindahl Christiansen, Marcus Weber, Martin Schmiele, Erik Brok, Emil T. S. Kjær, Pavol Juhás, Rico Thomas, Michael Mehring, Kirsten M. Ø. Jensen
Published in: Angewandte Chemie, Issue 133/37, 2021, Page(s) 20570-20579, ISSN 0044-8249
Publisher: John Wiley & Sons Ltd.
DOI: 10.1002/ange.202103641

A cloud platform for atomic pair distribution function analysis: PDFitc

Author(s): Long Yang, Elizabeth A. Culbertson, Nancy K. Thomas, Hung T. Vuong, Emil T. S. Kjær, Kirsten M. Ø. Jensen, Matthew G. Tucker, Simon J. L. Billinge
Published in: Acta Crystallographica Section A Foundations and Advances, Issue 77/1, 2021, Page(s) 2-6, ISSN 2053-2733
Publisher: John Wiley and Sons Inc.
DOI: 10.1107/s2053273320013066

Influence of the Precursor Structure on the Formation of Tungsten Oxide Polymorphs

Author(s): Mikkel Juelsholt, Olivia Aalling-Frederiksen, Troels Lindahl Christiansen, Emil T. S. Kjær, Niels Lefeld, Andrea Kirsch, Kirsten M. Ø. Jensen
Published in: Inorganic Chemistry, 2023, ISSN 0020-1669
Publisher: American Chemical Society
DOI: 10.1021/acs.inorgchem.3c01659

In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient

Author(s): Emil T. S. Kjær, Olivia Aalling-Frederiksen, Dr. Long Yang, Nancy K. Thomas, Dr. Mikkel Juelsholt, Prof. Simon J. L. Billinge, Dr. Kirsten M. Ø. Jensen
Published in: Chemistry Methods, Issue 2, 2022, Page(s) e202200034, ISSN 2628-9725
Publisher: Wiley
DOI: 10.1002/cmtd.202200034

Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning

Author(s): Andy S. Anker; Emil T. S. Kjær; Mikkel Juelsholt; Troels Lindahl Christiansen; Susanne Linn Skjærvø; Mads Ry Vogel Jørgensen; Innokenty Kantor; Daniel Risskov Sørensen; Simon J. L. Billinge; Raghavendra Selvan; Kirsten M. Ø. Jensen
Published in: npj Computational materials, Issue 8, 2022, Page(s) 213, ISSN 2057-3960
Publisher: Nature Publishing Group
DOI: 10.1038/s41524-022-00896-3

Characterisation of intergrowth in metal oxide materials using structure-mining: the case of γ-MnO2

Author(s): Nicolas P. L. Magnard, Andy S. Anker, Olivia Aalling-Frederiksen, Andrea Kirsch and Kirsten M. Ø. Jensen
Published in: Dalton Transactions, Issue 51, 2022, Page(s) 17150, ISSN 1477-9234
Publisher: Royal Society of Chemistry
DOI: 10.1039/d2dt02153f

Structure analysis of supported disordered molybdenum oxides using pair distribution function analysis and automated cluster modelling

Author(s): Troels Lindahl Christiansen, Emil T. S. Kjær, Anton Kovyakh, Morten L. Röderen, Martin Høj, Tom Vosch, Kirsten M. Ø. Jensen
Published in: Journal of Applied Crystallography, Issue 53/1, 2020, Page(s) 148-158, ISSN 1600-5767
Publisher: International Union of Crystallography
DOI: 10.1107/S1600576719016832

Characterising the Atomic Structure of Mono-Metallic Nanoparticles from X-Ray Scattering Data Using Conditional Generative Models

Author(s): Andy S. Anker, Emil T. S. Kjær, Erik B. Dam, Simon J. L. Billinge, Kirsten M. Ø. Jensen, Raghavendra Selvan
Published in: 16th International Workshop on Mining and Learning with Graphs, 2020
Publisher: 16th International Workshop on Mining and Learning with Graphs
DOI: 10.26434/chemrxiv.12662222.v1

Sub-second pair distribution function using a broad bandwidth monochromator

Author(s): Nicolas P. L. Magnard; Daniel R. Sørensen; Innokenty Kantor; Kirsten M. Ø. Jensen; Mads R. V. Jørgensen
Published in: Journal of Applied Crystallography, 2023, ISSN 1600-5767
Publisher: International Union of Crystallography /Wiley
DOI: 10.1107/s1600576723004016

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