Expertise
Physics
- Model
- Metal
- Utilization
- Volume
- Fracture
- Simulation
Material Science
- Material
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Organisations
Publications
2024
Additive manufacturing of NiTi architected metamaterials (2024)Additive Manufacturing Letters, 10. Article 100216. Biffi, C. A., Soyarslan, C., Fiocchi, J., Bregoli, C., du Plessis, A., Tuissi, A. & Mehrpouya, M.https://doi.org/10.1016/j.addlet.2024.100216Physics-informed machine learning in asymptotic homogenization of elliptic equations (2024)Computer methods in applied mechanics and engineering, 427. Article 117043. Soyarslan, C. & Pradas, M.https://doi.org/10.1016/j.cma.2024.117043A coupled ductile damage model for metal matrix composites: Development and application (2024)Composites. Part B : Engineering, 272. Article 111229. Ren, Q., Yue, Z., Soyarslan, C., Tan, Z., Yuan, F. & Li, Z.https://doi.org/10.1016/j.compositesb.2024.111229
2023
Machine learning aided multiscale magnetostatics (2023)Mechanics of materials, 184. Article 104726. Aldakheel, F., Soyarslan, C., Subramani Palanisamy, H. & Elsayed, E. S.https://doi.org/10.1016/j.mechmat.2023.104726Elastostatics of star-polygon tile-based architectured planar lattices (2023)Materials & Design, 226. Article 111580. Soyarslan, C., Gleadall, A., Yan, J., Argeso, H. & Sozumert, E.https://doi.org/10.1016/j.matdes.2022.111580Asymptotic homogenization in the determination of effective intrinsic magnetic properties of composites (2023)Results in Physics, 44. Article 106188. Soyarslan, C., Havinga, J., Abelmann, L. & van den Boogaard, T.https://doi.org/10.1016/j.rinp.2022.106188Physics-informed machine learning in the determination of effective thermomechanical properties (2023)In Material Forming - The 26th International ESAFORM Conference on Material Forming – ESAFORM 2023 (pp. 1621-1630) (Materials Research Proceedings; Vol. 28). Association of American Publishers. Soyarslan, C. & Pradas, M.https://doi.org/10.21741/9781644902479-175
2022
Limpet teeth microstructure unites auxeticity with extreme strength and high stiffness (2022)Science advances, 8(48). Article eadd4644. Oh, S. H., Kim, J. K., Liu, Y., Wurmshuber, M., Peng, X. L., Seo, J., Jeong, J., Wang, Z., Wilmers, J., Soyarslan, C., Kim, J., Kittiwirayanon, B., Jeong, J., Kim, H. J., Huh, Y. H., Kiener, D., Bargmann, S. & Gao, H.https://doi.org/10.1126/sciadv.add4644Asymptotic Homogenization in the Determination of Effective Intrinsic Magnetic Properties of Composites (2022)[Working paper › Preprint]. ArXiv.org. Soyarslan, C., Havinga, J., Abelmann, L. & van den Boogaard, T.https://doi.org/10.48550/arXiv.2212.00150Estimation of the Effective Magnetic Properties of Two-Phase Steels (2022)In Achievements and Trends in Material Forming- Peer-reviewed extended papers selected from the 25th International Conference on Material Forming, ESAFORM 2022 (pp. 2040-2049) (Key Engineering Materials; Vol. 926 KEM). Trans Tech Publications Ltd. Soyarslan, C., Havinga, J., Abelmann, L. & van den Boogaard, T.https://doi.org/10.4028/p-3no5jw
Research profiles
Courses academic year 2024/2025
Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.
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