The multiscale pseudo-direct numerical simulation (P-DNS) method is a general and efficient framework for the high-fidelity computational simulation of the physics of complex flows [1-4]. This data-driven approach is based on four key concepts: i) numerically solving both scales; ii) computing offline fine solutions in representative volume elements (RVEs); iii) storing homogenized responses in dimensionless databases; iv) online solutions at the coarse level and coupling the fine scale via machine learning-based surrogate models. In this presentation, we introduce the latest applications of the P-DNS framework. We study the turbulent particle-laden flow in electrostatic powder coating sprays, the multiphase flow in porous media for CO2 injection processes in geological deposits, and the heat transfer through densely packed granular materials. The reliable results obtained with modest resources confirm the potential of the framework as a general approach to build rapid predictive tools in different scenarios. [1] Idelsohn S., Nigro N., Larreteguy A., Gimenez J., Ryzhakov P. (2020). A pseudo-DNS method for the simulation of incompressible  fluid flows with instabilities at different scales. Computational Particle Mechanics, 19:40. [2] Gimenez J., Idelsohn S., Oñate E., Löhner R. (2021). A multiscale approach for the numerical simulation of turbulent flows with droplets. Archives of Computational Methods in Engineering, 28(6), 4185-4204. [3] Idelsohn, S. R., Gimenez, J. M., Larreteguy, A. E., Nigro, N. M., Sívori, F. M., Oñate, E. (2023). The P-DNS Method for Turbulent Fluid Flows: An Overview. Archives of Computational Methods in Engineering, 1-49. DOI: 10.1007/s11831-023-10004-3 [4] Gimenez, J. M. (2024). Multiscale simulation of electrostatic powder coating sprays. Computational Particle Mechanics. DOI: 10.1007/s40571-023-00703-w