| Photochemistry with Cyanines in the Near Infrared: A Step to Chemistry 4.0 Technologies B Strehmel, C Schmitz, K Cremanns, J Göttert Chemistry–A European Journal 25 (56), 12855-12864, 2019 | 47 | 2019 |
| Deep Gaussian covariance network K Cremanns, D Roos arXiv preprint arXiv:1710.06202, 2017 | 29 | 2017 |
| Efficient multi-objective optimization of labyrinth seal leakage in steam turbines based on hybrid surrogate models K Cremanns, D Roos, S Hecker, P Dumstorff, H Almstedt, C Musch Turbo Expo: Power for Land, Sea, and Air 49712, V02CT45A024, 2016 | 15 | 2016 |
| Sequential vs multidisciplinary coupled optimization and efficient surrogate modelling of a last stage and the successive axial radial diffuser in a low pressure steam turbine K Cremanns, D Roos, A Graßmann Turbo Expo: Power for Land, Sea, and Air 45615, V02BT45A006, 2014 | 11 | 2014 |
| Combined optimisation of the last stage and diffuser in a steam turbine using meta-model C Musch, K Cremanns, S Hecker, A Penkner 12 th European Conference on Turbomachinery Fluid dynamics & Thermodynamics, 2017 | 9 | 2017 |
| Application of machine learning algorithms for use in material chemistry C Schmitz, K Cremanns, G Bissadi Computational and Data-Driven Chemistry Using Artificial Intelligence, 161-192, 2022 | 8 | 2022 |
| Probabilistic machine learning for pattern recognition and design exploration K Cremanns, D Roos, S Reh, S Münstermann Fachgruppe für Materialwissenschaft und Werkstofftechnik, 2021 | 7 | 2021 |
| Probability and variance-based stochastic design optimization of a radial compressor concerning fluid-structure interaction D Roos, K Cremanns, T Jasper COUPLED V: proceedings of the V International Conference on Computational …, 2013 | 7 | 2013 |
| A new optimized anisotropic moving least squares surrogate model with maximized prognosis K Cremanns, D Roos Crete Island, Greece, 2016 | 6 | 2016 |
| Gradient and uncertainty enhanced sequential sampling for global fit S Lämmle, C Bogoclu, K Cremanns, D Roos Computer Methods in Applied Mechanics and Engineering 415, 116226, 2023 | 3 | 2023 |
| Steam turbine exhaust optimization based on Gaussian covariance networks using transient CFD simulations K Cremanns, D Roos, A Penkner, S Hecker, C Musch Turbo Expo: Power for Land, Sea, and Air 51173, V008T29A007, 2018 | 3 | 2018 |
| Multi-objective optimization of a radial compressor impeller with subsequent robustness evaluation T Wanzek, D Karschnia, F Seifert, J Jasper, S Rothgang, K Cremanns, ... Proceedings of Weimarer Optimierungs-und Stochastiktage 12 (12th WOST), 2015 | 2 | 2015 |
| Sensor-Assisted Wound Therapy in Plantar Diabetic Foot Ulcer Treatment: A Randomized Clinical Trial D Hochlenert, C Bogoclu, K Cremanns, L Gierschner, D Ludmann, ... Journal of Diabetes Science and Technology, 19322968231213095, 2023 | 1 | 2023 |
| Robust Design Optimization of a Steam Turbine Labyrinth Seal Based on Surrogate Models K Cremanns, D Roos, S Hecker, A Penkner, C Musch Turbo Expo: Power for Land, Sea, and Air 51173, V008T29A008, 2018 | 1 | 2018 |
| Deep Gaussian Covariance Network with Trajectory Sampling for Data-Efficient Policy Search C Bogoclu, R Vosshall, K Cremanns, D Roos 2024 International Conference on Artificial Intelligence, Computer, Data …, 2024 | | 2024 |
| Enhancing Outpatient Wound Care: Applying AI to Optimize Treatment of Patients with Diabetic Foot Syndrome–The EPWUF-KI Project A Weggen, D Hochlenert, M Mertens, K Cremanns, C Gündodgu, ... Digital Health and Informatics Innovations for Sustainable Health Care …, 2024 | | 2024 |
| Turbomachinery Technical Conference and Exposition Том. 8. Microturbines, Turbochargers, and Small Turbomachines; Steam Turbines.-Сер. ASME Turbo Expo 2018: Turbomachinery … V Dragan, M Mihaescu, T Sun, P Petrie-Repar, DM Vogt, K Cremanns, ... | | 2018 |
| Multicriteria optimization and robustness evaluation of a radial compressor impeller K Cremanns, H Lehmkuhl, D Roos, T Wanzek, D Karschnia, F Seifert, ... | | |
| Anisotropic, hybrid meta models with maximized prognosis within multi-domain turbomachinery engineering P Dumstorff, K Cremanns, D Roos | | |
| Conventional partwise optimization vs. multidisciplinary optimization of the last stage of a low pressure steam turbine with an axial radial diffuser K Cremanns, D Roos, A Graßmann | | |
