Representation of aerosol-cloud-precipitation interactions in high-resolution numerical models of boundary-layer atmospheric flows has recently been subject to a paradigm shift towards particle- based approaches. The particle-based (Lagrangian) microphysics models contrast the conventional Eulerian approach of representing aerosol, cloud and precipitation particle populations as separate categories of trace constituents modelled with continuous density fields. Among the key advantages of the particle-based methods there are: favourable scaling and discretisation properties yielding robust numerical results; suitability of Monte-Carlo methods for solving particle coagulation; and ab-initio-like representation of particle-level processes. This allows to extend the range of represented processes in terms of properties of cloud and rain water composition. The poster will aim at giving a brief overview of the particle-based techniques for modelling clouds, and at asking the question of possible extensions of the developed tools to model isotopic composition of water.