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2022
Kochanneck, L., Tewes, A., Hoffmann, G. A., Niiranen, K., Rönn, J., Velasco, H., Sneck, S., Wienke, A., & Ristau, D. (2022). Study of rotary atomic layer deposition for optical applications. In D. J. Rogers, & F. H. Teherani (Hrsg.), Oxide-based Materials and Devices XIII Artikel 120020D (Proceedings of SPIE - The International Society for Optical Engineering; Band 12002). SPIE. https://doi.org/10.1117/12.2612173
Könemund, L., Neumann, L., Hirschberg, F., Biedendieck, R., Jahn, D., Johannes, H. H., & Kowalsky, W. (2022). Functionalization of an extended-gate field-effect transistor (EGFET) for bacteria detection. Scientific reports, 12(1), Artikel 4397. Vorabveröffentlichung online. https://doi.org/10.1038/s41598-022-08272-3, https://doi.org/10.1038/s41598-023-46380-w
Kranz, D., Bessel, P., Niemeyer, M., Borg, H., Rosebrock, M., Himstedt, R., Bigall, N. C., & Dorfs, D. (2022). Size-Dependent Threshold of the Laser-Induced Phase Transition of Colloidally Dispersed Copper Oxide Nanoparticles. The Journal of Physical Chemistry C, 126(36), 15263–15273. Vorabveröffentlichung online. https://doi.org/10.1021/acs.jpcc.2c03815
Landes, T., Debener, T., & Heinemann, D. (2022). Brillouin elastography in horticultural sciences: impact of D. rosea on rose leaves biomechanics. Beitrag in 25th ICO and 16th OWLS conference, Dresden, Deutschland. https://doi.org/10.15488/13087
Leffers, L., Roth, B., & Overmeyer, L. (2022). Polymer optical Bend Sensor based on eccentric Fiber Bragg Gratings for 3D Shape Detection. In W. M. Shensky, I. Rau, & O. Sugihara (Hrsg.), Organic Photonic Materials and Devices XXIV Artikel 1199808 (Proceedings of SPIE - The International Society for Optical Engineering; Band 11998). SPIE. Vorabveröffentlichung online. https://doi.org/10.1117/12.2609764
Ley, P-P., Knöchelmann, M., Wolf, A. G., & Lachmayer, R. J. (2022). Tailoring the V-Model for Optics: A Methodology for Optomechatronic Systems. Applied Sciences (Switzerland), 12(15), Artikel 7798. https://doi.org/10.3390/app12157798
Li, F., Klepzig, L. F., Keppler, N., Behrens, P., Bigall, N. C., Menzel, H., & Lauth, J. (2022). Layer-by-Layer Deposition of 2D CdSe/CdS Nanoplatelets and Polymers for Photoluminescent Composite Materials. LANGMUIR, 38(37), 11149-11159. Vorabveröffentlichung online. https://doi.org/10.1021/acs.langmuir.2c00455
Liu, B., Vu-Bac, N., Fu, X., Zhuang, X., & Rabczuk, T. (2022). Stochastic full-range multiscale modeling of thermal conductivity of Polymeric carbon nanotubes composites: A machine learning approach. Composite structures, 289, Artikel 115393. Vorabveröffentlichung online. https://doi.org/10.1016/j.compstruct.2022.115393
Malek, T., Winkler, M., Denkena, B., & Wichmann, M. (2022). Energieeffiziente Prozessplanung. VDI-Z Integrierte Produktion, 164(4), 38-41. https://doi.org/10.37544/0042-1766-2022-04-38
Melchert, O., Willms, S., Babushkin, I., Morgner, U., & Demircan, A. (2022). Decaying trapped states of solitary-wave wells. In Nonlinear Photonics, NP 2022 Artikel NpM3F.3 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA). https://doi.org/Decaying trapped states of solitary-wave wells
Melchert, O., Willms, S., Oreshnikov, I., Yulin, A., Babushkin, I., Morgner, U., & Demircan, A. (2022). Degenerate multi-frequency radiation of two-color pulse compounds. In 2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings Artikel FTh1A.3 (2022 Conference on Lasers and Electro-Optics, CLEO 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1364/CLEO_QELS.2022.FTh1A.3
Melchert, O. (2022). Finite-size scaling in mean-field equal-coupling photonic networks. In Bragg Gratings, Photosensitivity and Poling in Glass Waveguides and Materials, BGPP 2022 Artikel JTu2A.22 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA). https://doi.org/10.1364/BGPPM.2022.JTu2A.22
Melchert, O., & Demircan, A. (2022). GNLStools.py: A generalized nonlinear Schrödinger Python module implementing different models of input pulse quantum noise. SoftwareX, 20, Artikel 101232. Vorabveröffentlichung online. https://doi.org/10.1016/j.softx.2022.101232
Melchert, O., & Demircan, A. (2022). py-fmas: A python package for ultrashort optical pulse propagation in terms of forward models for the analytic signal. Computer Physics Communications, 273, Artikel 108257. Vorabveröffentlichung online. https://doi.org/10.1016/j.cpc.2021.108257
Mortazavi, B., Shojaei, F., Shapeev, A. V., & Zhuang, X. (2022). A combined first-principles and machine-learning investigation on the stability, electronic, optical, and mechanical properties of novel C6N7-based nanoporous carbon nitrides. CARBON, 194, 230-239. Vorabveröffentlichung online. https://doi.org/10.1016/j.carbon.2022.03.068
Mortazavi, B., Shahrokhi, M., Shojaei, F., Rabczuk, T., Zhuang, X., & Shapeev, A. V. (2022). A first-principles and machine-learning investigation on the electronic, photocatalytic, mechanical and heat conduction properties of nanoporous C5N monolayers. NANOSCALE, 14(11), 4324-4333. https://doi.org/10.1039/d1nr06449e
Mortazavi, B., Zhuang, X., & Rabczuk, T. (2022). A first-principles study on the physical properties of two-dimensional Nb3Cl8, Nb3Br8 and Nb3I8. Applied Physics A: Materials Science and Processing, 128(10), Artikel 934. https://doi.org/10.1007/s00339-022-06011-z
Mortazavi, B., Novikov, I. S., & Shapeev, A. V. (2022). A machine-learning-based investigation on the mechanical/failure response and thermal conductivity of semiconducting BC2N monolayers. CARBON, 188, 431-441. Vorabveröffentlichung online. https://doi.org/10.1016/j.carbon.2021.12.039
Mortazavi, B., Shojaei, F., Yagmurcukardes, M., Shapeev, A. V., & Zhuang, X. (2022). Anisotropic and outstanding mechanical, thermal conduction, optical, and piezoelectric responses in a novel semiconducting BCN monolayer confirmed by first-principles and machine learning. CARBON, 200, 500-509. Vorabveröffentlichung online. https://doi.org/10.1016/j.carbon.2022.08.077
Mortazavi, B., & Shapeev, A. V. (2022). Anisotropic mechanical response, high negative thermal expansion, and outstanding dynamical stability of biphenylene monolayer revealed by machine-learning interatomic potentials. FlatChem, 32, Artikel 100347. Vorabveröffentlichung online. https://doi.org/10.1016/j.flatc.2022.100347
