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Florence.","alphadin":"<span style=\"font-variant:small-caps;\">Fromme, Lars</span> ; <span style=\"font-variant:small-caps;\">Gumpert, Fabian</span> ; <span style=\"font-variant:small-caps;\">Vambolt, Eugen</span> ; <span style=\"font-variant:small-caps;\">Wilczok, Elke</span> ; <span style=\"font-variant:small-caps;\">Lohbreier, Jan</span>: Using Surrogate Models to Predict the Transmission Efficiency of an ERS. In: <span style=\"font-variant:small-caps;\">COMSOL AB</span> (Hrsg.): <i>Proceedings COMSOL Conference 2024</i>, 2024","chicago":"Fromme, Lars, Fabian Gumpert, Eugen Vambolt, Elke Wilczok, and Jan Lohbreier. “Using Surrogate Models to Predict the Transmission Efficiency of an ERS.” In <i>Proceedings COMSOL Conference 2024</i>, edited by COMSOL AB, 2024.","short":"L. Fromme, F. Gumpert, E. Vambolt, E. Wilczok, J. Lohbreier, in: COMSOL AB (Ed.), Proceedings COMSOL Conference 2024, 2024.","ama":"Fromme L, Gumpert F, Vambolt E, Wilczok E, Lohbreier J. 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Lohbreier, F. Gumpert, E. Vambolt, N. Pöpel, and L. Fromme, “3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks,” in <i>Proceedings COMSOL Conference 2024</i>, Florence, 2024.","bibtex":"@inproceedings{Lohbreier_Gumpert_Vambolt_Pöpel_Fromme_2024, title={3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks}, booktitle={Proceedings COMSOL Conference 2024}, author={Lohbreier, Jan and Gumpert, Fabian and Vambolt, Eugen and Pöpel, Niklas and Fromme, Lars}, editor={COMSOL ABEditor}, year={2024} }","apa":"Lohbreier, J., Gumpert, F., Vambolt, E., Pöpel, N., &#38; Fromme, L. (2024). 3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks. In COMSOL AB (Ed.), <i>Proceedings COMSOL Conference 2024</i>. Florence.","alphadin":"<span style=\"font-variant:small-caps;\">Lohbreier, Jan</span> ; <span style=\"font-variant:small-caps;\">Gumpert, Fabian</span> ; <span style=\"font-variant:small-caps;\">Vambolt, Eugen</span> ; <span style=\"font-variant:small-caps;\">Pöpel, Niklas</span> ; <span style=\"font-variant:small-caps;\">Fromme, Lars</span>: 3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks. In: <span style=\"font-variant:small-caps;\">COMSOL AB</span> (Hrsg.): <i>Proceedings COMSOL Conference 2024</i>, 2024","chicago":"Lohbreier, Jan, Fabian Gumpert, Eugen Vambolt, Niklas Pöpel, and Lars Fromme. “3D Study of TEG-Based Energy Harvesters With Physics-Informed Neural Networks.” In <i>Proceedings COMSOL Conference 2024</i>, edited by COMSOL AB, 2024.","short":"J. Lohbreier, F. Gumpert, E. Vambolt, N. Pöpel, L. Fromme, in: COMSOL AB (Ed.), Proceedings COMSOL Conference 2024, 2024.","ama":"Lohbreier J, Gumpert F, Vambolt E, Pöpel N, Fromme L. 3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks. 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