Our publications
Our published books
An all-inclusive introduction to polydisperse multiphase flows linking theory to practice through numerous real-world examples and MATLAB® scripts for key algorithms.
Lombardo Pontillo, A., Marcato, A., Versaci, D., Marchisio, D. and Boccardo, G., (2025). Comparative Analysis via CFD Simulation on the Impact of Graphite Anode Morphologies on the Discharge of a Lithium-Ion Battery. Batteries, 11(7). https://doi.org/10.3390/batteries11070252
Querio, A., Shiea, M., Buffo, A., & Marchisio, D. L. (2024). Comparison between Compartment and Computational Fluid Dynamics Models for Simulating Reactive Crystallization Processes. Industrial & Engineering Chemistry Research, 63(50), 21991-22004. https://doi.org/10.1021/acs.iecr.4c01483
Most recent papers on CFD
Raponi, A., & Marchisio, D. (2024). Deep learning for kinetics parameters identification: A novel approach for multi-variate optimization. Chemical Engineering Journal, 489, 151149. https://doi.org/10.1016/j.cej.2024.151149
Marcato, A., Santos, J. E., Liu, C., Boccardo, G., Marchisio, D., & Franco, A. A. (2023). Modeling the 4D discharge of lithium-ion batteries with a multiscale time-dependent deep learning framework. Energy Storage Materials, 63, 102927. https://doi.org/10.1016/j.ensm.2023.102927
Most recent papers on ML/AI
Lauriello, N., Di Spirito, N. A., Šindelka, K., Boccardo, G., Pasquino, R., Grizzuti, N., & Marchisio, D. (2025). Dissipative Particle Dynamics as a Computational Tool to detect the Morphology-Rheology Interplay in Pluronic F68/Water mixtures: A Promising Drug Carrier. Journal of Colloid and Interface Science, 138525. https://doi.org/10.1016/j.jcis.2025.138525
Lauriello, N., Ponnana, D. N., Ma, Z., Šindelka, K., Buffo, A., Boccardo, G., ... & Pan, W. (2025). Interpretable machine-learning enhanced parametrization methodology for Pluronics–water mixtures in DPD simulations. Soft Matter. https://doi.org/10.1039/D5SM00291E
Most recent papers on
Atomistic Modelling
Raponi, A., Fida, D., Vicari, F., Cipollina, A., & Marchisio, D. (2025). Computational Fluid Dynamics and Population Balance Model Enhances the Smart Manufacturing and Performance Optimization of an Innovative Precipitation Reactor. Processes, 13(6), 1721. https://doi.org/10.3390/pr13061721
Feng, Y., Li, D., Marchisio, D., Vanni, M., & Buffo, A. (2023). A computational fluid dynamics—Population balance equation approach for evaporating cough droplets transport. International Journal of Multiphase Flow, 165, 104500. https://doi.org/10.1016/j.ijmultiphaseflow.2023.104500
Most recent papers on
Population Balances