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0585608 - FZÚ DATA Scientific data      2024
Correa, Cinthia Antunes - Chevalier, Joris More - Hruška, Petr - Poupon, Morgane - Novotný, Michal - Minárik, P. - Hubík, Pavel - Lukáč, F. - Fekete, Ladislav - Prokop, Dejan - Hanuš, J. - Valenta, J. - Fitl, Přemysl - Lančok, Ján

Graphs and figures related to the microstructure properties of black aluminum antireflective films.

Description: The files are related to the manuscript „Microstructure and physical properties of Black-Aluminum antireflective films“ and are organized in the sequence of appearance in the manuscript. The nomenclature of the files follows the sequence:
Figure, number of the figure appearing in the manuscript (from 1 – 7), type of data (XRD, AFM, TEM, EDX, PALS, Reflectance, Carrier concentration, Electrical mobility, or resistivity), thin film sample related to (R-Al or B-Al), film thickness (60, 180, 250, 320, or 410 nm).
TEM image files are raw, as collected, while the ones in the manuscript were cropped to show the differences between the films.

Keywords : powder x-ray diffraction * atomic force microscopy * transmission electron microscopy * energy dispersive x-ray analysis * positron annihilation spectroscopy * reflectivity, resistivity * hall measurements
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
DOI: https://doi.org/10.57680/asep.0585608
Handle: https://hdl.handle.net/11104/0353281
Depositor: admin
Date of release: 2.5.2024
 

0581983 - ÚFM 2025 RIV GB eng J - Journal Article
Govind, K. - Oliveros, D. - Dlouhý, Antonín - Legros, M. - Sandfeld, S.
Deep learning of crystalline defects from TEM images: a solution for the problem of 'never enough training data'.
MACHINE LEARNING-SCIENCE AND TECHNOLOGY. Roč. 5, č. 1 (2024), č. článku 015006. E-ISSN 2632-2153
Institutional support: RVO:68081723
Keywords : situ * insights * deep learning * synthetic training data * segmentation * data mining * transmission electron microscopy * dislocation * crystal defect
OECD category: Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Method of publishing: Open access
https://iopscience.iop.org/article/10.1088/2632-2153/ad1a4e
Permanent Link: https://hdl.handle.net/11104/0350122

0578995 - FZÚ 2024 RIV NL eng J - Journal Article
Rymzhanov, R.A. - Medvedev, Nikita - Volkov, A.E. - O'Connell, J. H. - Skuratov, V.A.
Overlap of swift heavy ion tracks in Al₂O₃.
Nuclear Instruments & Methods in Physics Research Section B. Roč. 435, Nov. (2018), s. 121-125. ISSN 0168-583X. E-ISSN 1872-9584
R&D Projects: GA MŠMT LG15013
EU Projects: European Commission(XE) 654148 - LASERLAB-EUROPE
Institutional support: RVO:68378271
Keywords : swift heavy ion track * Monte Carlo simulations * molecular dynamics * aluminum oxide * transmission electron microscopy
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 1.210, year: 2018
Method of publishing: Limited access
https://doi.org/10.1016/j.nimb.2017.11.014
Permanent Link: https://hdl.handle.net/11104/0347903

0576450 - ÚFM 2024 RIV CH eng J - Journal Article
Mayer, M. - Svoboda, Jiří - Mendez-Martin, F. - Fellner, S. - Gammer, C. - Razumovskiy, V. I. - Resch, L. - Sprengel, W. - Stark, A. - Zeisl, S. - Ressel, G.
From microscopic to atomistic scale: Temperature effect on yttria distribution in mechanically alloyed FeCrMnNiCo powder particles.
Journal of Alloys and Compounds. Roč. 968, DEC (2023), č. článku 171850. ISSN 0925-8388. E-ISSN 1873-4669
Institutional support: RVO:68081723
Keywords : High-entropy alloys * Oxide dispersion strengthening * Mechanical alloying * Transmission electron microscopy * Atom probe tomography * Positron annihilation spectroscopy * First-principle calculations
OECD category: Thermodynamics
Impact factor: 6.2, year: 2022
Method of publishing: Open access
https://www.sciencedirect.com/science/article/pii/S0925838823031535?via%3Dihub
Permanent Link: https://hdl.handle.net/11104/0346020

0574352 - FZÚ 2024 RIV GB eng J - Journal Article
Chen, Yuchen - Klinger, Miloslav - Duchoň, Jan - Šittner, Petr
Modulated martensite in NiTi shape memory alloy exposed to high stress at high temperatures.
Acta Materialia. Roč. 258, Oct (2023), č. článku 119250. ISSN 1359-6454. E-ISSN 1873-2453
R&D Projects: GA MŠMT(CZ) EF16_019/0000760; GA ČR(CZ) GA20-14114S; GA ČR(CZ) GA22-20181S
Grant - others:OP VVV - SOLID21(XE) CZ.02.1.01/0.0/0.0/16_019/0000760
Research Infrastructure: CzechNanoLab II - 90251
Institutional support: RVO:68378271
Keywords : NiTi * martensitic transformation * shape memory alloys * crystal structure of martensite * transmission electron microscopy
OECD category: Condensed matter physics (including formerly solid state physics, supercond.)
Impact factor: 9.4, year: 2022
Method of publishing: Limited access
https://doi.org/10.1016/j.actamat.2023.119250
Permanent Link: https://hdl.handle.net/11104/0344690