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

Deliverables

Data Management Plan

Complete and upload a Data Management Plan for the project in month 6.

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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
DOI: 10.1039/d0nr08299f

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
DOI: 10.1039/d0na00120a

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
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
DOI: 10.1107/s2053273320013066

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
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
DOI: 10.26434/chemrxiv.12662222.v1