The SAIM Predictive Framework: Forecasting Unobserved Regimes in Microgravity Dynamics, Quantum Cosmology, and Dark Energy
Year: 2026
Type: preprint
Abstract: This monograph presents the predictive capabilities of the SAIM Universal Framework. Moving beyond descriptive physics, the AI-driven SAIM engine is used to forecast behavior in extreme and unobserved physical regimes. The report outlines three highly testable predictions: 1. Microgravity Mechanics: Predicting the instantaneous inversion of a Tippe Top under hyper-spin and microgravity conditions (critical for space gyroscope stability).2. Quantum Cosmology (Model-51): Proposing a Quantum Bounce that resolves the Big Bang singularity through a cyclic universe paradigm, where density is capped at the Planck limit.3. Dark Energy: Deriving an oscillatory equation of state w(z), providing a distinct target window (z=0.5 to 1.5) for upcoming DESI and JWST observations. These predictions serve as a roadmap for future empirical validation of the SAIM framework across multiple branches of physics
Author: SAIM, MOHAMMED TAHAR
Language: English
Subfield: Astronomy and Astrophysics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7223473098