http://hdl.handle.net/11089/1107 2026-04-08T14:03:00Z http://hdl.handle.net/11089/57736 AFM, Optical Microscopy, and Raman Spectroscopy Data for Thickness-Dependent Characterization of MoO3/Mica and MoS3/Au 2D Structures, 2020/38/E/ST3/00293, SONATA BIS (dataset) Dunal, Rafał; Piskorski, Michał; Krukowski, Paweł; Krempiński, Patryk The data set contains source files that are in part the basis for analyzes presented in publication (https://doi.org/10.1021/acs.jpcc.5c04807) resulting from the implementation of project 2020/38/E/ST3/00293 (SONATA BIS). These data support studies on thickness-dependent properties of 2D materials and can be directly used in the context of resistive switching research, particularly for sample selection, structural characterization, and evaluation of defect-related inhomogeneities relevant to the possible formation and stability of conductive channels. This dataset related to the paper https://doi.org/10.1021/acs.jpcc.5c04807 contains experimental results for two types of 2D material systems: MoO₃/mica and MoS₂/Au, prepared in the form of flakes with varying thicknesses, ranging from monolayer to few-layer structures. The dataset is divided into two independent subsets corresponding to each material system. Each subset includes: optical microscopy images of the investigated structures, atomic force microscopy (AFM) topography maps with calibrated lateral dimensions and height profiles, enabling thickness determination and morphology analysis, hyperspectral Raman data cubes acquired over a broad spectral (energy) range, extracted Raman spectra corresponding to selected regions of the flakes with well-defined thickness (different numbers of monolayers). The dataset enables comprehensive analysis of structural, morphological, and phonon-related properties of 2D materials as a function of layer number. It provides a basis for reliable identification of layer thickness, assessment of sample homogeneity, and correlation between Raman response and structural characteristics. 2025-01-01T00:00:00Z http://hdl.handle.net/11089/56248 Dataset - NCN SONATA-18 project 2022/47/D/ST3/03216 "Moiré superlattices: towards a more general understanding of interlayer coupling in 2D materials" Le Ster, Maxime Le Ster, Maxime This dataset contains raw data, python scripts for analysis, simulations and figure making related to the NCN project "Moiré superlattices: towards a more general understanding of interlayer coupling in 2D materials" (2022/47/D/ST3/03216). 2025-01-01T00:00:00Z http://hdl.handle.net/11089/56247 Projekt NCN OPUS pt. "Precyzyjne pomiary neutronowych przekrojów czynnych przy urządzeniu n_TOF w CERN" (UMO-2021/41/B/ST2/00326)) Perkowski, Jarosław High precision neutron-induced cross-section measurements are of major importance for a wide variety of research fields in fundamental and applied nuclear physics. In the field of nuclear structure such measurements allow to study excited levels close to the neutron binding energy and to obtain information on nuclear properties such as level density, their widths, etc. One of the most interesting research area of nuclear astrophysics is stellar nucleosynthesis. High precision studies of the nuclear processes in stars and stellar environment allows to understand evolution of the chemical elements in the Universe. First aim of the presented project is to obtain reaction cross sections important for nuclear astrophysics: 26Al(n,p), 26Al(n,alpha) and 77,78Se(n,g). These data will allow to reduce uncertainty in determination of the abundance of elements in the mid-mass region. Regarding to field of nuclear technology, next aim of the project is to measure 239Pu(n,g) and 50,53Cr(n,g) cross sections. These data are essential for the design and operation of current and innovative nuclear systems such as ADS and Gen-IV reactors. Measurements are planned to be proceed at CERN, with using neutron spallation source. Authors of the project (the group from the University of Lodz) are members of the n_TOF Collaboration since 2004, very good organized and effectively working international team, which brings together peoples from many universities and research centers not only from Europe. The attached file contains data obtained on radiative neutron capture cross section for Se-78. The description of data structure are also includes in this file. Related article 10.1103/physrevc.110.065805 2024-01-01T00:00:00Z http://hdl.handle.net/11089/50858 Data related to the paper: Electrostimulation and Nanomanipulation of Two-Dimensional MoO3-x Layers Grown on Graphite, SONATA BIS, 2020/38/E/ST3/00293 (dataset) Nadolska, Aleksandra; Rogala, Maciej The data set contains source files that are the basis for analyzes presented in publications resulting from the implementation of project 2020/38/E/ST3/00293 (SONATA BIS). It contains analyzes of chemical, topographic and electrical changes related to the phenomenon of resistive switching in 2D materials. DataSet01: (related to the paper https://doi.org/10.3390/cryst13060905) XPS Mo 3d spectrum: XPS Mo 3d spectrum fitted with two components (Mo5+ and Mo6+ in a 5:95). Fig. 1: Semi-contact AFM and Kelvin probe force microscopy images of MoO3-x on HOPG: (1a) topography with mobile MoO3-x islands marked using ovals; (1b,c) topography with next locations of islands; (1d) contact potential difference corresponding to (1c). Arrows on (1b) represent the sliding direction of each island. Image (1c) shows the final location of the island marked with a yellow oval on image (1a). Fig. 2: Topography (2a,c) and lateral force (2b,d) image of MoO3-x on HOPG, performed in contact mode AFM: (2a,b) first image with original position of MoO3-x island; (2c,d) new position of the island after movement. The scanning voltages are 1 V (2a,b) and 0.6 V (2c,d). Fig. 3: Topography and lateral force microscopy images: (3a) topography and (3b) lateral force imageof MoO3-x monolayer before point I–V measurement; (3c) topography and (3d) lateral force image of MoO3-x monolayer after point I–V measurement. Images were acquired with 0.5 V bias applied to the sample. The white square in image (3b) shows the area shown in image (3c,d). 2023-01-01T00:00:00Z