Karupppasamy, S., Singh, S., Ćuković, S., Sandhu, K., Meixner, G. & Petruse, R. E. (Eds.) (2024).
Smart VR/AR/MR Systems for Professionals. CRC Press.
Pedersen, M. T., Vilgis, T. A., Brewer, J. R.
, Hansen, P. L. & Clausen, M. P. (2024).
Structural characterization of solvent-based food preparation of jellyfish.
Soft Matter,
20(3), 495-510.
https://doi.org/10.1039/d3sm00620d
Barvenik, K., Coogan, Z., Librandi, G.
, Pezzulla, M. & Tubaldi, E. (2024).
Tactile Sensing and Grasping Through Thin-Shell Buckling.
Advanced Intelligent Systems ,
6(9), Article 2300855.
https://doi.org/10.1002/aisy.202300855
Doll, U., Kapulla, R., Dues, M., Steinbock, J., Melnikov, S., Röhle, I., Migliorini, M. & K. Zachos, P. (2024).
Towards time-resolved multi-property measurements by filtered Rayleigh scattering: diagnostic approach and verification. Experiments in Fluids,
65(1), Article 2.
https://doi.org/10.1007/s00348-023-03740-6
Doll, U., Kapulla, R., Dues, M., Steinbock, J., Melnikov, S., Röhle, I., Migliorini, M. & K. Zachos, P. (2024).
Towards Time-Resolved Multi-Property Measurements By Single-Frequency FRS. In
21th International Symposium on the Application of Laser and Imaging Techniques to Fluid Mechanics https://doi.org/10.55037/lxlaser.21st.19
Gao, X., Zhang, Y., Haahr-Lillevang, L., Vedel-Smith, N. K.
& Andriollo, T. (2023).
3D strain pattern in additively manufactured AlSi10Mg from digital volume correlation. Heliyon,
9(12), Article e23186.
https://doi.org/10.1016/j.heliyon.2023.e23186
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, Article 109093.
https://doi.org/10.1016/j.ijheatfluidflow.2022.109093
Frandsen, L. N., Kristensen, C. K., Haahr-Lillevang, L., Klingaa, C. G., Mohanty, S.
& Pedersen, M. M. (2023).
A method for developing predictive models of quality metrics and gas flow variables for 316L PBF-LB/M printed components based on image analysis. In C. Nisbet, D. Phillips & O. Riemer (Eds.),
European Society for Precision Engineering and Nanotechnology, Conference Proceedings: Copenhagen 2023 (pp. 115-118). Euspen.
Alzweighi, M., Tryding, J.
, Mansour, R., Borgqvist, E. & Kulachenko, A. (2023).
Anisotropic damage behavior in fiber-based materials: Modeling and experimental validation.
Journal of the Mechanics and Physics of Solids,
181, Article 105430.
https://doi.org/10.1016/j.jmps.2023.105430
E. S. Chen, P., Bin, Y., I. A. Yang, X., Shi, Y.
, Abkar, M. & I. Park, G. (2023).
A priori screening of data-enabled turbulence models. Physical Review Fluids,
8(12), Article 124606.
https://doi.org/10.1103/PhysRevFluids.8.124606
Böttjer, T., Tola, D., Kakavandi, F., Wewer, C. R., Ramanujan, D., Gomes, C., Larsen, P. G. & Iosifidis, A. (2023).
A review of unit level digital twin applications in the manufacturing industry.
CIRP Journal of Manufacturing Science and Technology,
45, 162-189.
https://doi.org/10.1016/j.cirpj.2023.06.011
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, Article 102564.
https://doi.org/10.1016/j.rcim.2023.102564
Carlson, D. F., Akbulut, S., Rasmussen, J. F., Hestbech, C. S., Andersen, M. H.
& Melvad, C. (2023).
Compact and modular autonomous surface vehicle for water research: The Naval Operating Research Drone Assessing Climate Change (NORDACC).
HardwareX,
15, Article e00453.
https://doi.org/10.1016/j.ohx.2023.e00453
Legaard, C. M., Schranz, T., Schweiger, G., Drgona, J., Falay, B.
, Gomes, C., Iosifidis, A., Abkar, M. & Larsen, P. G. (2023).
Constructing Neural Network Based Models for Simulating Dynamical Systems.
ACM Computing Surveys,
55(11), 1-34. Article 236.
https://doi.org/10.1145/3567591
Amarloo, A., Cinnella, P.
, Iosifidis, A., Forooghi, P. & Abkar, M. (2023).
Data-driven Reynolds stress models based on the frozen treatment of Reynolds stress tensor and Reynolds force vector.
Physics of Fluids,
35(7), Article 075154.
https://doi.org/10.1063/5.0160977
Srinivasan, V., Song, B., Luo, J.
, Karupppasamy, S., Elara Mohan, R., Blessing, L. & Wood, K. (2023).
Do Analogies and Analogical Distance Influence Ideation Outcomes in Engineering Design? In S. Mukherjee, V. Dutt & N. Srinivasan (Eds.),
Applied Cognitive Science and Technology: Implications of Interactions Between Human Cognition and Technology (pp. 211–230). Springer.
https://doi.org/10.1007/978-981-99-3966-4_13