TU Dresden Data Publications

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Data publications from research of Dresden University of Technology.

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Browsing TU Dresden Data Publications by Subject "3::32::307"

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  • ItemOpen Access
    Data for Stability of Bogoliubov Fermi surfaces within BCS theory
    (Technische Universität Dresden, 2024-11-06) Bhattacharya, Ankita; Timm, Carsten
    This archive contains the data plotted in the paper A. Bhattacharya and C. Timm, Stability of Bogoliubov Fermi surfaces within BCS theory, Phys. Rev. B 107, L220501 (2023) and its Supplemental Material. For this paper, the superconducting gap and the energy gain in the superconducting state relative to the normal state were obtained by solving the inverse BCS gap equation. The required integrals over the Brillouin zone were performed using global-adaptive integrations with high precision in Mathematica.
  • ItemOpen Access
    Data for the paper "Magnetic order and Li-diffusion in the 1/3-filled Kagome layers of antiperovskite Lithium-ion battery materials (Li2Fe)SO and (Li2Fe)SeO"
    (Technische Universität Dresden, 2025-08-29) Seewald, F.; Schulze, T.; Gräßler, N.; Carstens, F. L.; Singer, L.; Mohamed, M. A. A.; Hampel, S.; Büchner, B.; Klingeler, R.; Klauss, H.-H.; Grafe, H.-J.
    The recently discovered lithium-rich antiperovskites (Li2Fe)SeO and (Li2Fe)SO host lithium and iron ions on the same atomic position which octahedrally coordinates to central oxygens. In a cubic antiperovskite these sites form Kagome planes stacked along the < 111 > directions which triangular motifs induce high geometric frustration in the diluted magnetic sublattice for antiferromagnetic interactions. Despite their compelling properties as high-capacity Li-ion battery cathode materials, very little is known about the electronic and magnetic properties of lithium-rich antiperovskites. We report static magnetization, M¨ossbauer, and NMR studies on both compounds. Our data reveal a Pauli paramagnetic-like behaviour, a long-range antiferromagnetically ordered ground state below ≈ 50 K and a regime of short-range magnetic correlations up to 100 K. Our results are consistent with a random Li-Fe distribution on the shared lattice position. In addition, Li-hopping is observed above 200 K with an activation energy of Ea = 0.47 eV. Overall, our data elucidate static magnetism in a disordered magnetically frustrated and presumably semimetallic system with thermally induced ion diffusion dynamics.
  • ItemOpen Access
    Noise Estimation and Suppression in Quantitative EMCD Measurements
    (Technische Universität Dresden, 2025-11-03) Makino, Hitoshi
    Quantitative electron magnetic circular dichroism (EMCD) in transmission electron microscopy (TEM) enables the measurement of magnetic moments with elemental and atomic site sensitivity, but its practical application is fundamentally limited by noise. This study presents a comprehensive methodology for noise estimation and suppression in EMCD measurements, demonstrated on Ti-doped barium hexaferrite lamellae. By employing a classical three-beam geometry and long-term acquisition of electron energy-loss spectra, we systematically analyze the signal-to-noise ratio (SNR) across individual energy channels using bootstrap statistics. A robust energy alignment procedure based on the neighboring Ba-M4,5 edges with an adequate energy upsampling is introduced to minimize systematic errors from energy misalignment. The impact of detector noise, particularly from CMOS-based EELS cameras, is evaluated through variance-to-mean analysis and described by the noise amplification coefficients, revealing that detector-amplified shot noise is the dominant noise source. We recommend a stricter SNR threshold for reliable EMCD detection and quantification, ensuring that critical spectral features such as the Fe-L2,3 peaks meet the requirements for quantitative analysis. The approach also provides a framework for determining the minimum electron dose necessary for valid measurements and can be generalized to scintillator-based or direct electron detectors. This work advances the reliability of EMCD as a quantitative tool for magnetic characterization at the nanoscale with unknown magnetic structures. The proposed procedures lay the groundwork for improved error handling and SNR optimization in future EMCD studies.