Spatially Resolved Band Gap and Dielectric Function in Two-Dimensional Materials from Electron Energy Loss Spectroscopy.

Autor: Brokkelkamp A; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Ter Hoeve J; Nikhef Theory Group, Science Park 105, 1098 XG Amsterdam, The Netherlands.; Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands., Postmes I; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., van Heijst SE; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Maduro L; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Davydov AV; Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States., Krylyuk S; Materials Science and Engineering Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States., Rojo J; Nikhef Theory Group, Science Park 105, 1098 XG Amsterdam, The Netherlands.; Physics and Astronomy, Vrije Universiteit Amsterdam, 1081 HV Amsterdam, The Netherlands., Conesa-Boj S; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands.

Publikováno v: The journal of physical chemistry. A [J Phys Chem A] 2022 Feb 24; Vol. 126 (7), pp. 1255-1262. Date of Electronic Publication: 2022 Feb 15.

Charting the low-loss region in electron energy loss spectroscopy with machine learning.

Autor: Roest LI; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands; Nikhef Theory Group, Science Park 105, 1098 XG Amsterdam, The Netherlands., van Heijst SE; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Maduro L; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Rojo J; Nikhef Theory Group, Science Park 105, 1098 XG Amsterdam, The Netherlands; Department of Physics and Astronomy, VU, 1081 HV Amsterdam, The Netherlands., Conesa-Boj S; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands. Electronic address: s.conesaboj@tudelft.nl.

Publikováno v: Ultramicroscopy [Ultramicroscopy] 2021 Mar; Vol. 222, pp. 113202. Date of Electronic Publication: 2021 Jan 09.

Robust Sample Preparation of Large-Area In- and Out-of-Plane Cross Sections of Layered Materials with Ultramicrotomy.

Autor: Cichocka MO; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Bolhuis M; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., van Heijst SE; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands., Conesa-Boj S; Kavli Institute of Nanoscience, Delft University of Technology, 2628CJ Delft, The Netherlands.

Publikováno v: ACS applied materials & interfaces [ACS Appl Mater Interfaces] 2020 Apr 01; Vol. 12 (13), pp. 15867-15874. Date of Electronic Publication: 2020 Mar 17.

Deep learning for automated materials characterisation in core-loss electron energy loss spectroscopy.

Autor: Annys, Arno¹ (AUTHOR), Jannis, Daen^1,2 (AUTHOR), Verbeeck, Johan^1,2 (AUTHOR) jo.verbeeck@uantwerpen.be

Publikováno v: Scientific Reports. 8/22/2023, Vol. 13 Issue 1, p1-10. 10p.

Alignment-invariant signal reality reconstruction in hyperspectral imaging using a deep convolutional neural network architecture.

Autor: Mousavi M., S. Shayan¹ (AUTHOR) mousas10@mcmaster.ca, Pofelski, Alexandre² (AUTHOR), Teimoori, Hassan³ (AUTHOR), Botton, Gianluigi A.^1,4 (AUTHOR) gbotton@mcmaster.ca

Publikováno v: Scientific Reports. 10/19/2022, Vol. 12 Issue 1, p1-12. 12p.