{"author":[{"last_name":"Lohbreier","full_name":"Lohbreier, Jan","first_name":"Jan"},{"first_name":"Fabian","last_name":"Gumpert","full_name":"Gumpert, Fabian"},{"first_name":"Eugen","last_name":"Vambolt","full_name":"Vambolt, Eugen"},{"first_name":"Niklas","full_name":"Pöpel, Niklas","last_name":"Pöpel"},{"first_name":"Lars","id":"217504","last_name":"Fromme","orcid":"0009-0006-6675-1917","orcid_put_code_url":"https://api.orcid.org/v2.0/0009-0006-6675-1917/work/171962208","full_name":"Fromme, Lars"}],"conference":{"end_date":"2024-10-24","start_date":"2024-10-22","name":"COMSOL Conference","location":"Florence"},"publication":"COMSOL Conference 2024 User Presentations","date_updated":"2024-11-19T16:19:19Z","date_created":"2024-11-18T14:28:41Z","department":[{"_id":"103"}],"publication_identifier":{"isbn":["978-1-7364524-2-4"]},"quality_controlled":"1","related_material":{"link":[{"url":"https://www.comsol.com/paper/3d-study-of-teg-based-energy-harvesters-with-physics-informed-neural-networks-135582","relation":"original"}]},"user_id":"220548","language":[{"iso":"eng"}],"status":"public","_id":"5114","citation":{"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: <i>COMSOL Conference 2024 User Presentations</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>COMSOL Conference 2024 User Presentations</i>, 2024.","bibtex":"@inproceedings{Lohbreier_Gumpert_Vambolt_Pöpel_Fromme_2024, title={3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks}, booktitle={COMSOL Conference 2024 User Presentations}, author={Lohbreier, Jan and Gumpert, Fabian and Vambolt, Eugen and Pöpel, Niklas and Fromme, Lars}, year={2024} }","mla":"Lohbreier, Jan, et al. “3D Study of TEG-Based Energy Harvesters With Physics-Informed Neural Networks.” <i>COMSOL Conference 2024 User Presentations</i>, 2024.","short":"J. Lohbreier, F. Gumpert, E. Vambolt, N. Pöpel, L. Fromme, in: COMSOL Conference 2024 User Presentations, 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 <i>COMSOL Conference 2024 User Presentations</i>. Florence.","ama":"Lohbreier J, Gumpert F, Vambolt E, Pöpel N, Fromme L. 3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks. In: <i>COMSOL Conference 2024 User Presentations</i>. ; 2024.","ieee":"J. Lohbreier, F. Gumpert, E. Vambolt, N. Pöpel, and L. Fromme, “3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks,” in <i>COMSOL Conference 2024 User Presentations</i>, Florence, 2024."},"title":"3D Study of TEG-based Energy Harvesters With Physics-informed Neural Networks","type":"conference_abstract","publication_status":"published","year":"2024"}