Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Münster, M., Berg Rosendal, M., Madsen, H., Østergaard, J., Morthorst, P. E., Sørensen, P. B.
, Bruun Andresen, G. & Victoria, M. (2022).
Fakta om Atomkraft: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark.
https://vbn.aau.dk/ws/portalfiles/portal/491533150/Fakta_om_atomkraft_final.pdf
Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Østergaard, J., Münster, M., Berg Rosendal, M., Madsen, H., Morthorst, P. E., Sørensen, P. B.
, Bruun Andresen, G., Gøtske, E. K., Pedersen, T. T. & Victoria, M. (2023).
Fakta om Atomkraft i Danmark - Version 2: Input til en faktabaseret diskussion af fordele og ulemper ved atomkraft som en del af den grønne omstilling i Danmark.
https://vbn.aau.dk/ws/portalfiles/portal/534311584/Fakta_om_atomkraft_V2_FINAL.pdf
Zinck Thellufsen, J., Lund, H., Vad Mathiesen, B., Østergaard, P. A., Sorknæs, P., Nielsen, S., Thøis Madsen, P.
& Bruun Andresen, G. (2024).
Cost and systems effects of nuclear power in carbon-neutral energy systems.
Applied Energy,
371, Artikel 123705.
https://doi.org/10.1016/j.apenergy.2024.123705
Zhou, Z., Li, L., Fürsterling, A., Durocher, H., Mouridsen, J.
& Zhang, X. (2022).
Learning-based object detection and localization for a mobile robot manipulator in SME production.
Robotics and Computer-Integrated Manufacturing,
73, Artikel 102229.
https://doi.org/10.1016/j.rcim.2021.102229
Zhang, Z.
, Zhang, L., Jasa, J., Negahban, M. & Gazonas, G. (2022).
Molecular sources of ratcheting in poly-dispersed polycarbonate.
International Journal of Fatigue,
154, Artikel 106567.
https://doi.org/10.1016/j.ijfatigue.2021.106567
Zhang, B., Endelt, B., Lang, L., Zhao, Y., Yan, S.
& Nielsen, K. B. (2022).
An inverse strategy to determine constitutive parameters of tubular materials for hydroforming processes.
Chinese Journal of Aeronautics,
35(6), 379-390.
https://doi.org/10.1016/j.cja.2021.11.007
Zehtabiyan-Rezaie, N., Alvandifar, N., Saffaraval, F., Makkiabadi, M., Rahmati, N. & Saffar-Avval, M. (2019).
A solar-powered solution for water shortage problem in arid and semi-arid regions in coastal countries.
Sustainable Energy Technologies and Assessments,
35, 1-11.
https://doi.org/10.1016/j.seta.2019.05.015
Zehtabiyan-Rezaie, N., Arefian, A., Kermani, M. J., Noughabi, A. K. & Abdollahzadeh, M. (2017).
Effect of flow field with converging and diverging channels on proton exchange membrane fuel cell performance.
Energy Conversion and Management,
152, 31-44.
https://doi.org/10.1016/j.enconman.2017.09.009
Z. Bernstein, W., Tensa, M., Praniewicz, M., Kwon, S.
& Ramanujan, D. (2020).
An automated workflow for integrating environmental sustainability assessment into parametric part design through standard reference models.
Procedia CIRP,
90, 102-108.
https://doi.org/10.1016/j.procir.2020.02.058
Zambrano, V., Mueller-Roemer, J.
, Sandberg, M., Talasila, P., Zanin, D.
, Larsen, P. G., Loeschner, E., Thronicke, W., Pietraroia, D., Landofi, G., Fontana, A., Laspalas, M., Antony, J., Poser, V., Kiss, T., Bergweiler, S., Pena Serna, S., Izquierdo, S., Viejo, I. ... Stork, A. (2022).
Industrial Digitalization in the Industry 4.0 era: Classification, Reuse and Authoring of Digital Models on Digital Twin Platforms.
Array,
14, Artikel 100176.
https://doi.org/10.1016/j.array.2022.100176
Yang, J., Velandia, J., Bansmer, S., Stroh, A.
& Forooghi, P. (2023).
A comparison of hydrodynamic and thermal properties of artificially generated against realistic rough surfaces.
International Journal of Heat and Fluid Flow,
99, Artikel 109093.
https://doi.org/10.1016/j.ijheatfluidflow.2022.109093
Yang, X., Qiang, D., Chen, Z.
, Wang, H., Zhou, Z. & Zhang, X. (2022).
Dynamic Modeling and Digital Twin of a Harmonic Drive Based Collaborative Robot Joint. I
2022 IEEE International Conference on Robotics and Automation, ICRA 2022 (s. 4862-4868). IEEE.
https://doi.org/10.1109/ICRA46639.2022.9812458
Yang, X., Zhou, Z., Sørensen, J. H., Christensen, C. B., Ünalan, M.
& Zhang, X. (2023).
Automation of SME production with a Cobot system powered by learning-based vision.
Robotics and Computer-Integrated Manufacturing,
83, Artikel 102564.
https://doi.org/10.1016/j.rcim.2023.102564
Yang, X., Du, Y.
, Li, L., Zhou, Z.
& Zhang, X. (2023).
Physics-Informed Neural Network for Model Prediction and Dynamics Parameter Identification of Collaborative Robot Joints.
IEEE Robotics and Automation Letters,
8(12), 8462-8469.
https://doi.org/10.1109/LRA.2023.3329620
Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B.
& Forooghi, P. (2023).
Prediction of equivalent sand-grain size and identification of drag-relevant scales of roughness - a data-driven approach.
Journal of Fluid Mechanics,
975, Artikel A34.
https://doi.org/10.1017/jfm.2023.881
Yang, J., Stroh, A., Lee, S., Bagheri, S., Frohnapfel, B.
& Forooghi, P. (2024).
Assessment of Roughness Characterization Methods for Data-Driven Predictions.
Flow, Turbulence and Combustion,
113(2), 275-292.
https://doi.org/10.1007/s10494-024-00549-z
Won, J., Bae, J., Kim, H., Kim, T.
, Nemati, N., Choi, S., Jung, M. C., Kim, S., Choi, H., Kim, B., Jin, D., Kim, M., Han, M. J., Kim, J. Y. & Shim, W. (2023).
Polytypic Two-Dimensional FeAs with High Anisotropy.
Nano Letters,
23(23), 11057-11065.
https://doi.org/10.1021/acs.nanolett.3c03324