Publications

Below you can find a complete list of the publications that are written by employees at the Publications at Department of Mechanical and Production Engineering for example journal articles, books, reports etc.

Publication list

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Strack, D., Manohar Rayudu, N., Kirschke , J. S., Baum, T. & Karupppasamy, S. (2026). Reduction of material groups for vertebral bone finite element simulation: cross comparison of grouping methods. Computer Methods in Biomechanics and Biomedical Engineering, 29(5), 941-951. https://doi.org/10.1080/10255842.2024.2422901

Efeoǧlu, A. & Moller, C. (2023). Redesigning design thinking for codesign with nondesigners: a method efficiency perspective. Design Science, 9, Article e14. https://doi.org/10.1017/dsj.2023.11

Abedi, M., Chang, A., Hassan, H. I., Yang, A., Hickethier, M. L., Bushagour, A. H., Aghajari, M., Stoerzinger, K. A., Layton, A., Abbasi, B., Chang, C. H. & Feng, Z. (2026). Recovering Critical Metals from Brines: Technology Landscape, Circular Economy, and Future Trends. ACS Applied Energy Materials, 9(4), 2005-2034. https://doi.org/10.1021/acsaem.5c03407

Asghari, M., Ivetich, S. D., Aslan, M. K., Aramesh, M., Melkonyan, O., Meng, Y., Xu, R., Colombo, M., Weiss, T., Balabanov, S., Stavrakis, S. & deMello, A. J. (2024). Real-time viscoelastic deformability cytometry: High-throughput mechanical phenotyping of liquid and solid biopsies. Science Advances, 10(49), Article eabj1133. https://doi.org/10.1126/sciadv.abj1133

Ip, Y. C. A., Montemartini, L., Chang, J. J. M., Desiderato, A., Franco-Sierra, N. D., Geckeler, C., Herrera, M. A. G., Gregorini, M., Jucker, M., Kirchgeorg, S., Lüthi, M., Mächler, E., Thostrup, F. B., Murari, G., Mura, M., Pulido-Santacruz, P., Sangermano, F., Schindler, T., Melvad, C. ... Deiner, K. (2025). Real-time malaria detection in the Amazon rainforest via drone-collected eDNA and portable qPCR. One Health, 21, Article 101167. https://doi.org/10.1016/j.onehlt.2025.101167

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

Baungaard, M., van der Laan, M. P., Wallin, S. & Abkar, M. (2023). RANS simulation of a wind turbine wake in the neutral atmospheric pressure-driven boundary layer. Journal of Physics: Conference Series, 2505(1), Article 012028. https://doi.org/10.1088/1742-6596/2505/1/012028

Zhang, Z., Chai, X., Si, G. & Zhang, X. (2024). Quantifying Variability in Zebrafish Larvae Locomotor Behavior across Experimental Conditions: A Learning-Based Tracker. Fishes, 9(6), Article 193. https://doi.org/10.3390/fishes9060193

Bucak, T., Levi, E. E., Melvad, C., Deng, J., Mastepanov, M., Ladwig, R. & Davidson, T. A. (2026). Quantifying temporal dynamics of greenhouse gas emissions in lake mesocosms: Deployment of a low-cost measurement system. Limnology and Oceanography: Methods. Advance online publication. https://doi.org/10.1002/lom3.70060

Hornshøj-Møller, S., Nielsen, P., Forooghi, P. & Abkar, M. (2021). Quantifying structural uncertainties in Reynolds-averaged Navier–Stokes simulations of wind turbine wakes. Renewable Energy, 164, 1550-1558. https://doi.org/10.1016/j.renene.2020.10.148

Bernal, D. & Ulriksen, M. D. (2024). Quadratic basis pursuit in model updating of underconstrained problems. Journal of Physics: Conference Series, 2647(25), Article 252001. https://doi.org/10.1088/1742-6596/2647/25/252001

Gallego-Castillo, C. & Victoria, M. (2025). PyPSA-Spain: An extension of PyPSA-Eur to model the Spanish energy system. Energy Strategy Reviews, 60, Article 101764. https://doi.org/10.1016/j.esr.2025.101764

Jensen, H. M. (2024). Propagating instabilities in solids. In ICTAM2024: Abstract Book (pp. 48-51). International Congress of Theoretical and Applied Mechanics.

Langthjem, M. A. & Jensen, H. M. (2022). Propagating buckles in undersea pipelines – A model problem. International Journal of Solids and Structures, 257, Article 111555. https://doi.org/10.1016/j.ijsolstr.2022.111555

Amarloo, A., Rincón, M. J., Reclari, M. & Abkar, M. (2023). Progressive augmentation of turbulence models for flow separation by multi-case computational fluid dynamics driven surrogate optimization. Physics of Fluids, 35(12), Article 125154 . https://doi.org/10.1063/5.0174470

Rincón, M. J., Amarloo, A., Reclari, M., I.A. Yang, X. & Abkar, M. (2023). Progressive augmentation of Reynolds stress tensor models for secondary flow prediction by computational fluid dynamics driven surrogate optimisation. International Journal of Heat and Fluid Flow, 104, Article 109242. https://doi.org/10.1016/j.ijheatfluidflow.2023.109242

Schwenk-Nebbe, L. J., Vind, J. E., Backhaus, A. J., Victoria, M. & Greiner, M. (2022). Principal spatiotemporal mismatch and electricity price patterns in a highly decarbonized networked European power system. iScience, 25(6), Article 104380. https://doi.org/10.1016/j.isci.2022.104380

Kirikova, M., Forbrig, P. & Møller, C. (2024). Preface: 9thWorkshop on Managed Complexity (ManComp). In Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024) (Vol. 3804). CEUR-WS.org.

Bardella, L. & Jensen, H. M. (2025). Preface: Thematic session SM12 on Plasticity, Viscoplasticity and Creep of the 26th International Congress of Theoretical and Applied Mechanics (ICTAM2024). International Journal of Solids and Structures, 322, Article 113624. https://doi.org/10.1016/j.ijsolstr.2025.113624

Paggi, M. & Aghababaei, R. (2025). Preface: Contact Mechanics and Tribology in the ICTAM Century. International Journal of Solids and Structures, 323, Article 113642. https://doi.org/10.1016/j.ijsolstr.2025.113642

Kirikova, M., Forbrig, P. & Møller, C. (2025). Preface: 10th Workshop on Managed Complexity (ManComp). CEUR Workshop Proceedings, 4034. https://ceur-ws.org/Vol-4034/preface.pdf

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, Article A34. https://doi.org/10.1017/jfm.2023.881

Jakobsen, R. B., Kristensen, T. S., Storm, J., Rocha, I. B. C. M. & Andriollo, T. (2026). Predicting plastic strain localization in porous solids using graph neural networks. Mechanics of Materials, 219, Article 105733. https://doi.org/10.1016/j.mechmat.2026.105733

Alzweighi, M., Mansour, R., Maass, A., Hirn, U. & Kulachenko, A. (2024). Predicting moisture penetration dynamics in paper with machine learning approach. International Journal of Solids and Structures, 288, Article 112602. https://doi.org/10.1016/j.ijsolstr.2023.112602

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

Karupppasamy, S. (2025). Pragmatic customization in medical device design for sustainable healthcare. In P. Kyratsis, A. Manavis & P. J. Davim (Eds.), CAD/CAM: Computer-Aided Design and Manufacturing, (pp. 143). De Gruyter. https://doi.org/10.1515/9783111585062-007

Alamia, A. & Bruun Andresen, G. (2023). Power-to-X integration in biogas plants: industrial symbiosis and cost-optimal production of hydrogen and e-methanol: won a best poster award. Poster session presented at Retrospect: GreenLab Summit 2023, Skive, Denmark.

Hassan, H., Chatterjee, A., Bushagour, A. & Layton, A. (2025). Potential for Digital Technologies and Additive Manufacturing to Support Lean Manufacturing and Circular Economy Synergies. In International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: Volume 2A: 45th Computers and Information in Engineering Conference (CIE) Article v02at02a040 American Society of Mechanical Engineers (ASME). https://doi.org/10.1115/DETC2025-169490

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

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

Darki, A. A., Madsen, S. P. & Dantan, A. R. (2022). Polarization-independent optical spatial differentiation with a doubly-resonant one-dimensional guided-mode grating. Optics Express, 30(3), 3962-3972. https://doi.org/10.1364/OE.450981

Movassagh-Alanagh, F., Abdollah-zadeh, A., Alizadeh Zolbin, M., Nemati, N. & Aghababaei, R. (2023). Plasma-enhanced chemical vapor deposition of TiB₂ and TiBN hard coatings using BBr₃. Tribology International, 179, Article 108137. https://doi.org/10.1016/j.triboint.2022.108137

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

Calafà, M., Hovad, E., Engsig-Karup, A. P. & Andriollo, T. (2024). Physics-Informed Holomorphic Neural Networks (PIHNNs): Solving 2D linear elasticity problems. Computer Methods in Applied Mechanics and Engineering, 432, Article 117406. https://doi.org/10.1016/j.cma.2024.117406

Zehtabiyan-Rezaie, N., Iosifidis, A. & Abkar, M. (2023). Physics-Guided Machine Learning for Wind-Farm Power Prediction: Toward Interpretability and Generalizability. PRX Energy, 2(1), Article 013009. https://doi.org/10.1103/PRXEnergy.2.013009

Foldager, F. (2021). Physics-based modeling and simulation of agricultural machine-soil interaction. [PhD dissertation, Aarhus University]. Aarhus Universitet.

Haegel, N. M., Verlinden, P., Victoria, M., Altermatt, P., Atwater, H., Barnes, T., Breyer, C., Case, C., De Wolf, S., Deline, C., Dharmrin, M., Dimmler, B., Gloeckler, M., Goldschmidt, J. C., Hallam, B., Haussener, S., Holder, B., Jaeger, U., Jaeger-Waldau, A. ... W. Bett, A. (2023). Photovoltaics at multi-terawatt scale: Waiting is not an option: 25% annual PV growth is possible over the next decade. Science, 380(6640), 39-42. https://doi.org/10.1126/science.adf6957

Zheng, W., Airao, J. & Aghababaei, R. (2024). Phase transformation and incidental effects of metastable crystalline TiAlN on the material removal mechanism. Mechanics of Materials, 188, Article 104845. https://doi.org/10.1016/j.mechmat.2023.104845

Ulriksen, M. D., Greś, S. & Bernal, D. (2024). Perturbation-invariant eigenvalue assignment for statistical damage localization. Journal of Physics: Conference Series, 2647, Article 192017. https://doi.org/10.1088/1742-6596/2647/19/192017

Aliana, A., Chang, M., Østergaard, P. A., Victoria, M. & Andersen, A. N. (2022). Performance assessment of using various solar radiation data in modelling large-scale solar thermal systems integrated in district heating networks. Renewable Energy, 190, 699-712. https://doi.org/10.1016/j.renene.2022.03.163

Søgaard Kristensen, A., Kruse Sørensen, E., Madsen, C., Kristofersson, J. & Forooghi, P. (2023). Performance analysis of heat pumps with zeotropic mixtures at different load conditions. International Journal of Refrigeration, 145, 264-275. https://doi.org/10.1016/j.ijrefrig.2022.09.028

Strack, D., Nispel, K., Kirschke, J. S. & Subburaj, K. (2026). PBMGA-python-based bone material grouping and anisotropy, a software tool to automatically assign advanced material properties. Medical engineering & physics, 147(5). https://doi.org/10.1088/1873-4030/ae5a3f

Lawson, N. J., Migliorini, M., Doll, U., Melnikov, S., Steinbock, J., Dues, M., Zachos, P. K., Röhle, I. & MacManus, D. G. (2025). Pathway to Non-Intrusive In-Flight Flow Diagnostics with Filtered Rayleigh Scattering. SAE International Journal of Aerospace, 19(1). https://doi.org/10.4271/01-19-01-0001

Kalweit, S. (2026). Pathways to Net-Zero: ‘Land Transport Decarbonization and the Role of Carbon Management in the European Energy System’. [PhD dissertation, Aarhus University].

Garg, H., Ledda, P. G., Skov Pedersen, J. & Pezzulla, M. (2024). Passive Viscous Flow Selection via Fluid-Induced Buckling. Physical Review Letters, 133(8), Article 084001. https://doi.org/10.1103/PhysRevLett.133.084001

Hesselvig, J., Nygaard, R. T., Budzik, M. K. & Sandberg, M. (2025). Particle Flow and Printing Path Effects in SLS. Abstract from EPF European Polymer Congress, Groningen, Netherlands.

Blanco, B., Errandonea, I., Beltrán, S., Arrizabalaga, S. & Alvarado, U. (2022). Panhead accelerations-based methodology for monitoring the stagger in overhead contact line systems. Mechanism and Machine Theory, 171, Article 104742. https://doi.org/10.1016/j.mechmachtheory.2022.104742

Langthjem, M. A. & Sugiyama, Y. (1999). Optimum design of Beck's column with a constraint on the static buckling load. Structural and Multidisciplinary Optimization, 18(4), 228-235.

Paggetti, F., Gherardini, M., Lucantonio, A. & Cipriani, C. (2025). Optimizing the Myokinetic Interface: A Finite Element Model to Predict Displacement in Amputated Muscles. In 2025 International Conference on Rehabilitation Robotics, ICORR 2025 (pp. 376-381). IEEE Computer Society Press. https://doi.org/10.1109/ICORR66766.2025.11063137

Traistaru, O. T. L., Shyam, P., Christensen, M. & Madsen, S. P. (2022). Optimizing the energy product of exchange-coupled soft/hard Zn_0.2Fe_2.8O₄/SrFe₁₂O₁₉magnets. Journal of Applied Physics, 132(16), Article 163904. https://doi.org/10.1063/5.0103242

Displaying results 101 to 150 out of 602

Revised 22.02.2024

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