PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 18, 20260 citationsOpen Access

The Unified Finite Universal Energy-Mass Singularity (FUEMS)

View Full Paper
RMRahman Mashudur

Key Points

  • The aim is to resolve the Big Bang singularity by proposing a model of finite total energy and spacetime curvature limits.
  • Introduced the FUEMS model integrating interdependent quantum-gravitational effects.
  • Described phase-dependent roles of gravity during various cosmic phases.
  • Analyzed dark energy as elastic relaxation with a defined decay form.
  • Eliminated mathematical infinities in cosmological models.
  • Demonstrated predictions for Cosmic Microwave Background (CMB) observations and dark energy behavior.
  • Projected outcomes for high-energy collider tests, contributing to the understanding of fundamental physics.

Abstract

The Unified Finite Universal Energy-Mass Singularity (FUEMS) model resolves the Big Bang singularity by postulating a finite total energy and a maximum spacetime curvature limit (spacetime elasticity). The model integrates three interdependent quantum-gravitational effects into a feedback loop: (1) Quantum Confinement Frustration, (2) Elastic Limit Saturation, and (3) Quantum Tunneling with Back-Reaction. Gravity plays phase-dependent roles: attraction during pre-spatial compression, repulsion at the phase transition (quantum kick), and attraction with residual repulsion (dark energy) in the current universe. Dark energy is interpreted as elastic relaxation with a time-decaying exponential form ρDE (t) ∝ e^-t/τ. The ultimate fate is inertial disintegration (Kinetic Dissolution) across seven structural levels, ending in an atomic fog and the disappearance of spacetime geometry. The model eliminates mathematical infinities, respects energy conservation, and offers falsifiable predictions for CMB observations, dark energy decay, and high-energy collider tests.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Rahman Mashudur (2026) studied this question.

synapsesocial.com/papers/69e3216540886becb65409a0https://doi.org/10.5281/zenodo.19609241
Ask AI
Helpful
Bookmark
Share
View Full Paper