The Adaptive Mineral Encoding Framework (AMEF) proposes a thermodynamic and information-theoretic model for the emergence of metastable symbolic persistence within prebiotic mineral systems. Rather than treating biological encoding as a purely stochastic accident of chemistry, AMEF investigates whether constrained recoverable state structure may emerge naturally within energetic systems operating far from equilibrium. The framework focuses on greigite (Fe₃S₄) -inspired metastable adsorption landscapes and evaluates whether Boltzmann-weighted occupancy dynamics combined with interaction-like coupling can generate non-random persistence behavior prior to biological inheritance systems. The implementation includes: a coupled 32-state metastable occupancy framework Boltzmann-weighted sequence generation conditional entropy analysis Zipf-Mandelbrot statistical evaluation Markovian predictive reconstruction supplementary reproducibility datasets and source code AMEF does not claim to fully explain the origin of life. Instead, it provides a computational proof-of-principle framework for investigating how metastable energetic selection may generate recoverable symbolic persistence within non-equilibrium mineral-state systems. Supplementary files include: AMEFₑncoder. py AMEF₃2stateₜable. csv greigite₃2states. npz figure panels and manuscript materials Version 1. 0 — Computational Framework Preprint.
Matthew Dominik (2026) studied this question.