Quantum π-Driven Predictive Chemistry: Applications to Reactivity, Electronic Structure, and Simulation-Based Forecasting
I develop the concept of quantum π as a predictive invariant for chemical reactivity, electronic structure, and simulation-based forecasting. Building on my observation that π governs phase continuity, normalization, and standing-wave structure in quantum systems, I extend this framework to molecular chemistry, where π emerges naturally in delocalized electron networks, orbital topology, and reaction pathways. I propose that quantum π can serve as a unifying descriptor linking molecular symmetry, energetic spacing, resonance strength, and transition-state accessibility. Through analytical reasoning and simulation-inspired examples, I show how quantum π can be directly applied to predict stability trends, reaction outcomes, charge redistribution, spectroscopic signatures, and the energetic landscape of reactive intermediates. This article establishes quantum π as a foundational principle for predictive chemistry
Publication Details
- Journal
- AfricArXiv (OSF Preprints)
- Published
- 2025-11-19
- DOI
- https://doi.org/10.60763/africarxiv/10320
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00