Výsledky vyhledávání - "Jakob Schiøtz"

Structure and energetics of liquid water-hydroxyl layers on Pt(111)

Autor: August E. G. Mikkelsen, Henrik H. Kristoffersen, Jakob Schiøtz, Tejs Vegge, Heine A. Hansen, Karsten W. Jacobsen

Publikováno v: Mikkelsen, A E G, Kristoffersen, H H, Schiøtz, J, Vegge, T, Hansen, H A & Jacobsen, K W 2022, ' Structure and energetics of liquid water–hydroxyl layers on Pt(111) ', Physical Chemistry Chemical Physics, vol. 24, no. 17, pp. 9885-9890 . https://doi.org/10.1039/D2CP00190J

The interactions between liquid water and hydroxyl species on Pt(111) surfaces have been intensely investigated due to their importance to fuel cell electrocatalysis. Here we present a molecular dynamics study of their structure and energetics using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d109d59aea72283437032938276459f7
https://pubmed.ncbi.nlm.nih.gov/35416202

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Large-scale Automated Analysis of High-Resolution Transmission Electron Microscopy Data Assisted by Deep Learning Neural Networks

Autor: Matthew Helmi Leth Larsen, Cuauhtémoc Nuñez Valencia, William Bang Lomholdt, Daniel Kelly, Pei Liu, Jakob Birkedal Wagner, Ole Winther, Thomas Willum Hansen, Jakob Schiøtz

Publikováno v: Leth Larsen, M H, Nuñez Valencia, C, Lomholdt, W B, Kelly, D, Liu, P, Wagner, J B, Winther, O, Hansen, T W & Schiøtz, J 2022, ' Large-scale Automated Analysis of High-Resolution Transmission Electron Microscopy Data Assisted by Deep Learning Neural Networks ', Microscopy and Microanalysis, vol. 28, no. S1, pp. 2984-2986 . https://doi.org/10.1017/S1431927622011187

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c2a14aca0d0b9bc9f20399c2bb997a5
https://orbit.dtu.dk/en/publications/45fe9f6b-a7cc-4d7d-9965-260254dd946f

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Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learning

Autor: Matthew Helmi Leth Larsen, Frederik Dahl, Lars P. Hansen, Bastian Barton, Christian Kisielowski, Stig Helveg, Ole Winther, Thomas W. Hansen, Jakob Schiøtz

Publikováno v: Leth Larsen, M H, Dahl, F, Hansen, L P, Barton, B, Kisielowski, C, Helveg, S, Winther, O, Hansen, T W & Schiøtz, J 2023, ' Reconstructing the exit wave of 2D materials in high-resolution transmission electron microscopy using machine learning ', Ultramicroscopy, vol. 243, 113641 . https://doi.org/10.1016/j.ultramic.2022.113641

Reconstruction of the exit wave function is an important route to interpreting high-resolution transmission electron microscopy (HRTEM) images. Here we demonstrate that convolutional neural networks can be used to reconstruct the exit wave from a sho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae4fe641f29a6203a18ef4c831427ffc
https://pubmed.ncbi.nlm.nih.gov/36401890

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