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Martinelli, C., Coraddu, A. and Cammarano, A. (2023) Experimental parameter identification of nonlinear mechanical systems via meta-heuristic optimisation methods. In: Brake, M. R.W., Renson, L., Kuether, R. J. and Tiso, P. (eds.) Nonlinear Structures and Systems: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023. Series: Conference Proceedings of the Society for Experimental Mechanics Series, 1. Springer, pp. 215-223. ISBN 9783031369988 (doi: 10.1007/978-3-031-36999-5_28)

Martinelli, C., Avadhani, R. and Cammarano, A. (2023) Identification of nonlinear characteristics of an additive manufactured vibration absorber. In: Brake, M. R.W., Renson, L., Kuether, R. J. and Tiso, P. (eds.) Nonlinear Structures and Systems: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023. Series: Conference Proceedings of the Society for Experimental Mechanics Series, 1. Springer, pp. 229-235. ISBN 9783031369988 (doi: 10.1007/978-3-031-36999-5_30)

Martinelli, C., Coraddu, A. and Cammarano, A. (2023) Approximating piecewise nonlinearities in dynamic systems with sigmoid functions: advantages and limitations. Nonlinear Dynamics, 111(9), pp. 8545-8569. (doi: 10.1007/s11071-023-08293-1)

Mesgarpour, M., Habib, R., Shadloo, M. S. and Karimi, N. (2023) A combination of large eddy simulation and physics-informed machine learning to predict pore-scale flow behaviours in fibrous porous media: A case study of transient flow passing through a surgical mask. Engineering Analysis with Boundary Elements, 149, pp. 52-70. (doi: 10.1016/j.enganabound.2023.01.010)

Saeed, A. , Karimi, N. and Paul, M. C. (2022) Computational assessment of the thermal response of a Li-ion battery module to transient loads. Journal of Power Sources, 552, 232217. (doi: 10.1016/j.jpowsour.2022.232217)

Mousavi, S. M., Sotoudeh, F., Jun, D., Lee, B. J., Esfahani, J. A. and Karimi, N. (2022) On the effects of NH3 addition to a reacting mixture of H2/CH4 under MILD combustion regime: numerical modeling with a modified EDC combustion model. Fuel, 326, 125096. (doi: 10.1016/j.fuel.2022.125096)

Mesgarpour, M., Abad, J. M. N., Alizadeh, R., Wongwises, S., Doranehgard, M. H., Jowkar, S. and Karimi, N. (2022) Predicting the effects of environmental parameters on the spatio-temporal distribution of the droplets carrying coronavirus in public transport – a machine learning approach. Chemical Engineering Journal, 430(Part 2), 132761. (doi: 10.1016/j.cej.2021.132761) (PMID:34642569) (PMCID:PMC8495004)

Rashidi, S., Karimi, N. , Sunden, B., Kim, K. C., Olabi, A. G. and Mahian, O. (2022) Progress and challenges on the thermal management of electrochemical energy conversion and storage technologies: fuel cells, electrolysers and supercapacitors. Progress in Energy and Combustion Science, 88, 100966. (doi: 10.1016/j.pecs.2021.100966)

Rahmani, E., Fattahi, A., Karimi, N. and Hosseinalipour, S.M. (2022) A comparative analysis of the evolution of compositional and entropy waves in turbulent channel flows. Physics of Fluids, 34(1), 017103. (doi: 10.1063/5.0076350)

Mesgarpour, M., Abad, J. M. N., Alizadeh, R., Wongwises, S., Doranehgard, M. H., Ghaderi, S. and Karimi, N. (2021) Prediction of the spread of Corona-virus carrying droplets in a bus- a computational based artificial intelligence approach. Journal of Hazardous Materials, 413, 125358. (doi: 10.1016/j.jhazmat.2021.125358)