Scaling Relations, Morphological Stability, and Asymptotic Freedom of Plasma-Surface Deposition Dynamics

Connecting plasma processing parameters to the resultant film microstructure remains a fundamental challenge in materials synthesis, one that has largely confined process design to empirical approaches. To bridge this gap, we develop a predictive analysis of coupling by applying a renormalization group (RG) analysis to an effective Hamiltonian for the stochastic dynamics of the plasma-surface interface, derived systematically from microscopic principles. The central result from this formalism is the system's exhibition of asymptotic freedom; the effective dimensionless coupling, $g$, between the plasma and the growing surface is found to weaken systematically at macroscopic length scales, a finding that provides a rigorous justification for the success of continuum-level models in describing large-scale film evolution. The RG framework yields a non-perturbative scaling relation for the mean grain area, $\langle A \rangle \propto \exp(\kappa/g)$, where $g$ itself is defined by fundamental parameters such as ion flux ($\Phi$) and ion collision time ($\tau_{\text{ion}}$). This relation reveals the origin of widely-observed empirical power-law scaling, showing it to be an effective behavior limited to specific process regimes. Crucially, the model furnishes sharp, testable predictions, including the pressure-independence of grain size within collision-dominated plasmas and a parameter-free criterion, $\Lambda_c = 1/(n^2-1)$, for the onset of morphological instability and faceting based on crystal symmetry. This work establishes a quantitative, parameter-sparse engine for predicting and ultimately controlling microstructural outcomes in thin film synthesis.