Pastewka, L., Vakis, A. I., Eder, S. J.
, Aghababaei, R., Almqvist, A., Carbone, G., Chandross, M., Dini, D., Ehrich, H. J., Ewen, J. P., Menga, N., Molinari, J. F., Moras, G., Nicola, L., Paggi, M., Putignano, C., Scaraggi, M., Yastrebov, V. A. & Müser, M. H. (2026).
Modeling in tribology: Recent advances, applications, and open questions.
Tribology International,
218, Article 111326.
https://doi.org/10.1016/j.triboint.2025.111326
Ledda, P. G.
, Garg, H., Østergaard-Clausen, V., Rudzki, L. K.
, Madary, A. & Pezzulla, M. (2025).
Fluid-induced snap-through instability of spherical shells.
Physical Review Letters,
135, Article 234002.
https://doi.org/10.1103/ltqy-d53p
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
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
Jensen, J. S. K., Esmizadeh, S., Lund, M., Juhl, J.
, Nemati, N. & Aghababaei, R. (2025).
Evaluating the effect of particle roundness on three-body wear between polymers and metals.
Wear,
570, Article 206000.
https://doi.org/10.1016/j.wear.2025.206000
Darabi, R., Oliveira, J. P.
, Nemati, N., Reis, A. & de Sá, J. C. (2025).
Benchmarking advanced multiphase field modeling of Inconel 625 in additive manufacturing: Correlating powder bed fusion with dendrite growth and crack formation.
Materialia,
40, Article 102384.
https://doi.org/10.1016/j.mtla.2025.102384
Truong, T. T., Airao, J., Fattahi, S., Azarhoushang, B.
, Karras, P. & Aghababaei, R. (2025).
Image-based machine learning model for tool wear estimation in milling Inconel 718.
Wear,
571, Article 205865.
https://doi.org/10.1016/j.wear.2025.205865
Fulco, S.
, Budzik, M. K., Xiao, H., Durian, D. J. & Turner, K. T. (2025).
Disorder enhances the fracture toughness of 2D mechanical metamaterials.
PNAS Nexus,
4(2), Article pgaf023.
https://doi.org/10.1093/pnasnexus/pgaf023
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
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
Bae, J., Won, J., Kim, T., Choi, S., Kim, H., Oh, S. H. V., Lee, G., Lee, E., Jeon, S., Kim, M., Do, H. W., Seo, D., Kim, S., Cho, Y., Kang, H., Kim, B., Choi, H., Han, J., Kim, T. ... Shim, W. (2024).
Cation-eutaxy-enabled III–V-derived van der Waals crystals as memristive semiconductors.
Nature Materials,
23(10), 1402-1410.
https://doi.org/10.1038/s41563-024-01986-x