VMS (Void-Missing Space) Institute

VMS: A geometric first-principles model of matter, energy, forces, thermodynamics and particles.

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Theory, experiments, study paths, research grants and engineering branches — openly published.

Overview

Overview · Theory & Publications

Foundation Papers, Pillars, and Branches with publications and revision history.

Grants & Research

Grants & Research · Experiments

Explore results, public protocols, ongoing projects, and the grants process. Apply only after reading requirements.

Institute

Mission, collaboration paths, open calls for contributors, student guides, programs, and grants — including how to support student programs.

The Framework

Physics re-derived from geometry — with fewer assumptions than standard frameworks.

VMS (Void-Missing Space) is a theoretical framework postulating photons as the absence of space. Photons mathematically defined as 3D voids are the generative substrate of physical law. Rather than postulating forces as primitives, VMS derives gravity, electromagnetism, thermodynamics, and particle structure from a single geometric principle: routes are shaped by where space is missing.

Its recent Lemma shows mathematically that by only adopting the same minimal assumptions as the standard frameworks, but not an ideal point assumption, geometric and mathematical requirements necessitate VMS postulates.

The framework is stated in full across 29 published documents, structured into six pillars. Each pillar is independently falsifiable; the calibration documents supply acceptance gates tied to measured constants.

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Result I

Geometry produces observable structure.

Forces emerge from routing. Gravity, charge, and heat arise from how missing space biases path distributions.

Result II

All Classic Models (GR, QM, Maxwell...) emerge cleanly.

All constants, assumptions, and resulting classic theories are derived consequences of these mathematical and geometric requirements.

Result III

Predictions tied to calibrations

Every constant and empirical prediction is anchored to a standard calibration. Calibration documents supply acceptance gates so predictions can be accepted or falsified against published experimental data.

Theory Structure