{
 "id": "MaxKannapinn/chicken_dataset_comsol",
 "owner": "MaxKannapinn",
 "name": "chicken_dataset_comsol",
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 "last_modified": "2026-10-30T20:07:27.000Z",
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 "citation": "@article{kannapinn2022physics,\n  title={Physics-based digital twins for autonomous thermal food processing: Efficient, non-intrusive reduced-order modeling},\n  author={Kannapinn, Maximilian and Pham, Minh Khang and Sch{\\\"a}fer, Michael},\n  journal={Innovative Food Science \\& Emerging Technologies},\n  volume={81},\n  pages={103143},\n  year={2022},\n  publisher={Elsevier},\n  doi={10.1016/j.ifset.2022.103143}\n}\n\n@phdthesis{kannapinn2023digital,\n  title={Digital Twins for Autonomous Thermal Food Processing},\n  author={Kannapinn, Maximilian},\n  year={2023},\n  school={Technische Universit{\\\"a}t Darmstadt},\n  address={Darmstadt, Germany},\n  doi={10.26083/tuprints-00024386}\n}\n\n@article{kannapinn2025digital,\n  title={Digital twins for autonomous thermal food processing: A model predictive control study with reduced-order models of augmented neural ordinary differential equation type},\n  author={Kannapinn, Maximilian and Dorer, Denis and Sch{\\\"a}fer, Michael and Weeger, Oliver},\n  journal={Journal of Food Engineering},\n  year={2025},\n  publisher={Elsevier},\n  doi={10.1016/j.jfoodeng.2025.112918}\n}",
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