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18455 Publications
2021 | Journal Article | LibreCat-ID: 26221
Bartnick, Moritz, et al. “Cryogenic Second-Harmonic Generation in Periodically Poled Lithium Niobate Waveguides.” Physical Review Applied, 2021, doi:10.1103/physrevapplied.15.024028.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 26283
Lüders, Carolin, et al. “Quantifying Quantum Coherence in Polariton Condensates.” PRX Quantum, 2021, doi:10.1103/prxquantum.2.030320.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 26288
Tiedau, J., et al. “Statistical Benchmarking of Scalable Photonic Quantum Systems.” Physical Review Letters, 2021, doi:10.1103/physrevlett.126.023601.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 26391
Xu, Yazhi, et al. “Materials Screening for Disorder‐Controlled Chalcogenide Crystals for Phase‐Change Memory Applications.” Advanced Materials, 2006221, 2021, doi:10.1002/adma.202006221.
LibreCat
| DOI
2021 | Conference Paper | LibreCat-ID: 26492
Gabriel, Stefan, et al. “Analyzing Socio-Technical Risks in Implementation of Industry 4.0-Use Cases.” Procedia CIRP, vol. 100, 2021, pp. 241–46.
LibreCat
2021 | Journal Article | LibreCat-ID: 26543
Pfannschmidt, Karlson, et al. “Learning Context-Dependent Choice Functions.” International Journal of Approximate Reasoning, 2021, doi:10.1016/j.ijar.2021.10.002.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 26632
Freff, Jana, et al. “Alterations in B Cell Subsets Correlate with Body Composition Parameters in Female Adolescents with Anorexia Nervosa.” Scientific Reports, 2021, doi:10.1038/s41598-020-80693-4.
LibreCat
| DOI
2021 | Book | LibreCat-ID: 26649
Han, Daxin, and Gerson Meschut. Mechanisches Fügen von FKV-FKV-Verbindungen. 2021.
LibreCat
2021 | Journal Article | LibreCat-ID: 26012
Büchel, Daniel, et al. “Exploring Intensity-Dependent Modulations in EEG Resting-State Network Efficiency Induced by Exercise.” European Journal of Applied Physiology, 2021, pp. 2423–35, doi:10.1007/s00421-021-04712-6.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 26719
Büchel, Daniel, et al. “EEG-Derived Brain Graphs Are Reliable Measures for Exploring Exercise-Induced Changes in Brain Networks.” Scientific Reports, 2021, doi:10.1038/s41598-021-00371-x.
LibreCat
| DOI