Malekan, M., Madsen, K. L.
, Airao, J., Ilvig, C. F.
& Aghababaei, R. (2025).
Numerical assessment of tool geometry for improving productivity in milling stainless steel 316 L.
International Journal of Advanced Manufacturing Technology,
136(7), 3451-3463. Article 109782.
https://doi.org/10.1007/s00170-025-15061-5
Majidi, S. S., Su, Y., Jørgensen, M. L., Müller, C., Forooghi, P., Nie, G.
& Chen, M. (2021).
Rayleigh Instability-Driven Coaxial Spinning of Knotted Cell-Laden Alginate Fibers as Artificial Lymph Vessels.
ACS applied materials & interfaces,
13(19), 22142-22149.
https://doi.org/10.1021/acsami.1c00798
Mahato, M., Hwang, W. J.
, Tabassian, R., Oh, S., Nguyen, V. H., Nam, S., Kim, J. S., Yoo, H., Taseer, A. K., Lee, M. J., Zhang, H., Song, T. E. & Oh, I. K. (2022).
A Dual-Responsive Magnetoactive and Electro–Ionic Soft Actuator Derived from a Nickel-Based Metal–Organic Framework.
Advanced Materials,
34(35), Article 2203613.
https://doi.org/10.1002/adma.202203613
Mahato, M., Garai, M., Nguyen, V. H., Oh, S., Nam, S., Zeng, X., Yoo, H.
, Tabassian, R. & Oh, I. K. (2023).
Polysulfonated covalent organic framework as active electrode host for mobile cation guests in electrochemical soft actuator.
Science Advances,
9(50), Article eadk9752.
https://doi.org/10.1126/sciadv.adk9752
Ma, P., Xia, R., Wang, X.
, Zhang, X., Królczyk, G., Gardoni, P. & Li, Z. (2022).
An active control method for vibration reduction of a single-link flexible manipulator.
Journal of Low Frequency Noise Vibration and Active Control,
41(4), 1497-1506.
https://doi.org/10.1177/14613484221094982
Lund, H., Zinck Thellufsen, J., Vad Mathiesen, B., Thøis Madsen, P., Østergaard, P. A., Nielsen, S., Sorknæs, P., Wenzel, H., Sørensen, P. B.
, Bruun Andresen, G. & Victoria, M. (2022).
16 energiforskere fra fem universiteter: Lad os få mere fakta i atomkraftdebatten: Der er ikke behov for atomkraft for at sikre stabilitet i elforsyningen. Det vil kun gøre den dyrere og samtidig forsinke den grønne omstilling, skriver en række forskere i et svar til kernefysikere, som har efterlyst mere helstøbt og åben vurdering af atomkraft i Danmark. .
Altinget.
https://www.altinget.dk/forsyning/artikel/16-energiforskere-fra-fem-universiteter-lad-os-faa-mere-fakta-i-atomkraftdebatten
Lucantonio, A., Nardinocchi, P.
, Pezzulla, M., Pugliese, V. & Teresi, L. (2013).
Modeling Tools for Soft Robotics. Poster session presented at Soft Robotic Conference, Ascona, Switzerland.
Lubineau, G., Alfano, M., Tao, R., Wagih, A., Yudhanto, A., Li, X., Almuhammadi, K., Hashem, M.
, Hu, P., Mahmoud, H. A. & Oz, F. (2024).
Harnessing Extrinsic Dissipation to Enhance the Toughness of Composites and Composite Joints: A State-of-the-Art Review of Recent Advances.
Advanced Materials,
36(51), Article 2407132.
https://doi.org/10.1002/adma.202407132
L. Jensen, C. S., B. E. Pedersen, R.
, Mula, B. B., Escalona, J. & Balling, O. (2022).
On the Combination of Geometrically Nonlinear Models and Substructuring for Multibody Simulation of Wind Turbine Blades. In
18th International Conference on Multibody Systems, Nonlinear Dynamics, and Control (MSNDC) Article DETC2022-90948, V009T09A011 American Society of Mechanical Engineers (ASME).
https://doi.org/10.1115/DETC2022-90948
Li, J., Zhou, X., Brochu, M., Chekir, N., Sixsmith, J. J. & Zhao, Y. F. (2025).
Crystal introducing mechanism in laser wire directed energy deposition fabricated Ti6Al4V.
Progress in Additive Manufacturing,
10(2), 1231-1241.
https://doi.org/10.1007/s40964-024-00701-1
Li, W., Wu, S., Zhu, J.
, Zhang, L., Zheng, J., Wang, H., Qiu, Y., Xie, G. & Li, C. (2025).
Constitutive modelling of time-dependent polymer matrix composites: Incorporating a visco-hyperelastic model into the micromechanical framework.
Composite Structures,
366, Article 119220.
https://doi.org/10.1016/j.compstruct.2025.119220
Li, W., Negahban, M., Zhang, W.
, Zhang, L. & Zhu, J. (2025).
Network yield and detangling as a tool for modeling back-stress network softening: A thermodynamically consistent model for polycarbonate.
International Journal of Engineering Science,
215, Article 104322.
https://doi.org/10.1016/j.ijengsci.2025.104322
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
Lee, S., Yang, J.
, Forooghi, P., Stroh, A. & Bagheri, S. (2022).
Predicting drag on rough surfaces by transfer learning of empirical correlations.
Journal of Fluid Mechanics,
933, Article A18.
https://doi.org/10.1017/jfm.2021.1041
Ledda, P. G.
, Pezzulla, M., Jambon-Puillet, E., Brun, P. T. & Gallaire, F. (2022).
Gravity-driven coatings on curved substrates: a differential geometry approach.
Journal of Fluid Mechanics,
949, Article A38.
https://doi.org/10.1017/jfm.2022.758
Kunrath, K., Leka, S., Abu-Ghaida, H. & Ramanujan, D. (2021).
IDENTIFYING INDUSTRY NEEDS FOR INNOVATION SKILLS IN ENGINEERING EDUCATION: A THEMATIC ANALYSIS OF CASES FROM DANISH INDUSTRY. 306-315. Paper presented at SEFI 49th Annual Conference: Blended Learning in Engineering Education: Challenging, Enlightening - and Lasting?, Berlin, Virtual, Germany.
Kunrath, K., Leka, S., Vestergaard, L. S., Presser, M. & Ramanujan, D. (2024).
A Digital Tool for Scaffolding Innovation Learning in Engineering Education with Local Industry Needs.
International Journal of Engineering Education,
40(4), 801-814.
Kumar , R., Sandhu, K., Ranjan, N., Singh, S., Sarkar, P.
, Karupppasamy, S. & Ramakrishna, S. (2023).
Form exploration on different fabrics using material extrusion based additive manufacturing and end users experience.
Journal of Manufacturing Processes,
101, 959-973.
https://doi.org/10.1016/j.jmapro.2023.06.053