Automated Author ProfileKharlan, Julia
Adam Mickiewicz University, Poznań0000-0002-2186-1382
Kharlan, Julia
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 3.5 (sum of 6 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
General descriptionThe data set designed for the reconstruction of the graphs identified in the manuscript as Fig. 2, Fig. 4 and Fig. 6 has been compiled. The data were respectively described as calculations relating to the method of obtaining the data (Brandt's method then plane wave method - PWM) and simulations (finite element method - FEM). Fig. 2In the case of Fig. 2(a-f), the data marked with a black solid line have been included. The data set includes information on the (x,y) components of the magnetic field induction generated by the superconductor (expressed in millitesla) in the x-direction (expressed in metres). Fig. 4The data set for each subsection of Fig. 4 comprises the results of the simulations and calculations. The resulting data from the simulations are classified according to their respective modes. For each mod, the wave vector (expressed as part of the first Brillouin zone) and frequency (GHz) are determined. The data sets resulting from the semi-analytical calculations comprise the common axis (1st column) of the wave vector (expressed as part of the Brillouin zone) followed by columns containing frequency for each mode (GHz). Fig. 6The data pertaining to the subsections of Fig. 6(a) and (b) are stored in a separate set of files. The data set for Fig. 6a comprises frequencies that indicate the boundaries of bands in relation to the external magnetic field (B_{0}). Each column has been assigned a number. The numbering is from the lowest frequencies to the highest for k_{x}=0. Each line is comprised of two columns, the first of which describes the magnetic field induction (expressed in millitesla) and the second of which describes the frequency (expressed in GHz). Subsection (b) contains the dependence of the band boundaries (frequencies) on the separation between superconductors (d). The lines are also numbered from lowest frequency to highest for k_{x}=0. Each line is described by two columns, named by a number. The first column is the separation (expressed in nanometres), and the second is the frequency (expressed in GHz).
Authors
- Kharlan, Yuliia ;
- Szulc, Krzysztof ;
- Kłos, Jarosław ;
- Centała, Grzegorz
General descriptionThe data set designed for the reconstruction of the graphs identified in the manuscript as Fig. 2, Fig. 4 and Fig. 6 has been compiled. The data were respectively described as calculations relating to the method of obtaining the data (Brandt's method then plane wave method - PWM) and simulations (finite element method - FEM). Fig. 2In the case of Fig. 2(a-f), the data marked with a black solid line have been included. The data set includes information on the (x,y) components of the magnetic field induction generated by the superconductor (expressed in millitesla) in the x-direction (expressed in metres). Fig. 4The data set for each subsection of Fig. 4 comprises the results of the simulations and calculations. The resulting data from the simulations are classified according to their respective modes. For each mod, the wave vector (expressed as part of the first Brillouin zone) and frequency (GHz) are determined. The data sets resulting from the semi-analytical calculations comprise the common axis (1st column) of the wave vector (expressed as part of the Brillouin zone) followed by columns containing frequency for each mode (GHz). Fig. 6The data pertaining to the subsections of Fig. 6(a) and (b) are stored in a separate set of files. The data set for Fig. 6a comprises frequencies that indicate the boundaries of bands in relation to the external magnetic field (B_{0}). Each column has been assigned a number. The numbering is from the lowest frequencies to the highest for k_{x}=0. Each line is comprised of two columns, the first of which describes the magnetic field induction (expressed in millitesla) and the second of which describes the frequency (expressed in GHz). Subsection (b) contains the dependence of the band boundaries (frequencies) on the separation between superconductors (d). The lines are also numbered from lowest frequency to highest for k_{x}=0. Each line is described by two columns, named by a number. The first column is the separation (expressed in nanometres), and the second is the frequency (expressed in GHz).
Authors
- Kharlan, Yuliia ;
- Szulc, Krzysztof ;
- Kłos, Jarosław ;
- Centała, Grzegorz
The dataset consist of the data used to prepare the figures for the manuscript: Julia Kharlan, Krzysztof Sobucki, Krzysztof Szulc, Sara Memarzadeh, Jarosław W. Kłos. Spin wave confinement in hybrid superconductor-ferrimagnet nanostructure.Please read README.txt file to see the description of the data in the files.
Authors
- Kharlan, Yuliia ;
- Sobucki, Krzysztof ;
- Szulc, Krzysztof ;
- Memarzadeh, Sara
The dataset consist of the data used to prepare the figures for the manuscript: Julia Kharlan, Krzysztof Sobucki, Krzysztof Szulc, Sara Memarzadeh, Jarosław W. Kłos. Spin wave confinement in hybrid superconductor-ferrimagnet nanostructure.Please read README.txt file to see the description of the data in the files.
Authors
- Kharlan, Yuliia ;
- Sobucki, Krzysztof ;
- Szulc, Krzysztof ;
- Memarzadeh, Sara
The dataset consist of the data used to prepare the figures for the manusript entitled Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film. Please read README.txt file to see the description of the data in the files.
Authors
- Szulc, Krzysztof ;
- Kharlan, Julia
The dataset consist of the data used to prepare the figures for the manusript entitled Impact of surface anisotropy on the spin-wave dynamics in thin ferromagnetic film. Please read README.txt file to see the description of the data in the files.
Authors
- Szulc, Krzysztof ;
- Kharlan, Julia