Mirror Tables Computational Engine v1.2: Reproducible Python/Google Colab Implementation of the Mirror Tables Framework

Mirror Tables Computational Engine v1.2 This repository provides a reproducible Python and Google Colab implementation of the proposed Mirror Tables Framework for computational assessment of bioreactor and gas–liquid transfer conditions. The engine integrates five analytical tables covering rapid stability assessment, operational indicators of instability, gas–liquid absorption regimes, limitation diagnosis, and a unified Mirror-state representation. The implementation evaluates dimensionless and process-related parameters including Damköhler number (Da), Reynolds number (Re), Schmidt number (Sc), Sherwood number (Sh), Hatta number (Ha), volumetric mass-transfer coefficient (kLa), oxygen transfer rate (OTR), oxygen uptake rate (OUR), heat generation and heat removal, and selected operational indicators. Version 1.2 provides: Configurable physical and operational thresholds Automated classification of process regimes Mirror Coordinate calculation Instability Index calculation Boundary-distance analysis JSON output for reproducibility Standalone Python implementation Google Colab notebook Example input parameters and configurable thresholds Reproducible computational outputs The Mirror Coordinate and Instability Index are proposed computational constructs introduced for systematic representation and comparison of process states. They should not be interpreted as experimentally validated universal physical laws or as replacements for established bioreactor, transport, or reaction-engineering models. This release is intended for research, computational experimentation, reproducibility, and further scientific validation of the Mirror Tables Framework. Author: Marziyeh QasemiResearch identity: Independent ResearcherVersion: 1.2