The aim of this session is to bring together interdisciplinary research addressing the formation, evolution, physical properties, and exploration of Small Bodies, including comets, Kuiper Belt Objects, asteroids, rings, meteorites, and dust, through numerical modeling, laboratory investigations, and artificial intelligence techniques.

We welcome contributions combining theoretical and numerical modeling, laboratory experiments, computational methods, and data-driven approaches, including artificial intelligence and, in particular, machine learning. Laboratory studies under simulated space-like conditions, including ground-based and microgravity experiments, are especially encouraged, together with new experimental techniques and their use in interpreting and validating physical and numerical models.

Topics of interest include, but are not limited to:
- gas-dust interactions and activity in cometary atmospheres and comae;
- volcanic and cryovolcanic activity on Solar System bodies, including Enceladus and Io;
- formation and early evolution of planetary bodies, including dust and pebble growth, accretion, and planetesimal formation and dynamics;
- thermophysical evolution, internal structure, and surface processes of Small Bodies;
- modeling of atmospheres, exospheres, comae, dust environments, and surface-exosphere interactions;
- development and application of numerical and computational methods;
- AI and machine-learning techniques applied to simulations, laboratory experiments, spacecraft and observational data, and small bodies characterization and exploration;
- laboratory experiments and numerical simulations supporting the development, calibration, and scientific exploitation of instrumentation for planetary exploration.

The session particularly encourages studies bridging different methodological approaches, linking laboratory measurements with numerical simulations, physical models with observations, and AI and data-driven techniques with traditional computational methods. We invite contributions presenting new models, numerical methods, experiments, and interdisciplinary methodologies, as well as studies comparing or validating models against experimental, observational, or spacecraft data.