Recent progress in understanding metamorphic processes derives, in part, from advances in our ability to apply computational modeling studies of heat and mass transport to metamorphic systems. Computational modeling of contact metamorphic systems provides a controlled laboratory to investigate the entire thermal history of a metamorphic event and rates of controlling processes. A systematic investigation of the sensitivity of key parameters e.g. permeability structure, fluid flow, fluid production, intrusion temperature, latent heat of crystallization, and multi-stage intrusions, enables examination of their impact on metamorphic processes and on P-T-X-t paths encountered by aureole rocks. Advanced visualization techniques allow the spatial and temporal variability of scalar and vector fields to be analyzed.For example, one of the fundamental controls on crystal size distribution and porphyroblast growth in metamorphic rocks is the heating rate (dT/dt) experienced by the rocks. Two and three-dimensional heat and mass transport studies suggest that heating rates vary over four orders of magnitude during a single thermal event. While the key parameters control the absolute magnitude of the heating rate, more importantly they affect the spatial and temporal location of high heating rates. As the dominant thermal regime changes from conduction to convection, the spatial distribution of high dT/dt varies markedly. For a conduction dominated regime with isotropic permeability, high heating rates move outward symmetrically with the advance of the diffusive front. In contrast, for the convective case, high heating rates migrate with advance of the convection cell. This results in an asymmetric pattern of high heating around the intrusion.When combined with data from a natural well-studied contact metamorphic system, thermal models provide the needed temperature-time paths for extracting kinetic data. These studies demonstrate that the assumption of a constant heating rate for extracting kinetic parameters is problematic for most natural settings because of the inherent temporal and spatial variation in thermal paths of metamorphic rocks.Rate laws for crystal growth can be identified by the change in the natural log-based variance (β 2 ) of crystal size distributions (CSDs) during growth. Rate laws proposed for minerals include: dr/dt = k for polynuclear and spiral growth; dr/dt = k/r for diffusion-limited growth; dr/dt = kr 2 for mononuclear growth; and dr/dt = kr for proportionate growth, where r is crystal radius, t is time, and k is constant. Computer simulated growth (first figure below) indicates that the first three laws are unlikely: starting with a lognormal CSD having β 2 = 0.16, CSD variance either approaches zero or increases unrealistically.Variances for most measured CSDs are small and relatively constant; therefore, the proportionate rate law is favored. For example, mean sizes measured for minerals in the reduced plot below vary widely, from 11.6 nm to 1.41 mm, whereas their variances have a narrow range, ...