Theorem of Inverse Gravitational Induction by Plasma Magnetic Resonance (T-IGIRMP): Advanced Propulsion Without Refractory Mass - A Theoretical Framework

This paper proposes a theoretical framework for non-reaction space propulsion. The Theorem of Inverse Gravitational Induction by Plasma Magnetic Resonance (T-IGIRMP) explores eliminating reaction mass by coupling high-frequency magnetic modulation with ambient plasma and resonant Alfvén waves. The model hypothesizes a localized metric perturbation capable of mitigating up to 42% of effective gravitational drag under simulated conditions, channeling spatial energy density to accelerate structural mass without propellant depletion.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-19
DOI
https://doi.org/10.5281/zenodo.22846585
Primary Topic
Plasma Diagnostics and Applications
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Theorem of Inverse Gravitational Induction by Plasma Magnetic Resonance (T-IGIRMP): Advanced Propulsion Without Refractory Mass - A Theoretical Framework

J Eslava
Zenodo (CERN European Organization for Nuclear Research)
Plasma Diagnostics and Applications
preprint

Theorem of Inverse Gravitational Induction by Plasma Magnetic Resonance (T-IGIRMP): Advanced Propulsion Without Refractory Mass - A Theoretical Framework

J Eslava
preprint en

Abstract

This paper proposes a theoretical framework for non-reaction space propulsion. The Theorem of Inverse Gravitational Induction by Plasma Magnetic Resonance (T-IGIRMP) explores eliminating reaction mass by coupling high-frequency magnetic modulation with ambient plasma and resonant Alfvén waves. The model hypothesizes a localized metric perturbation capable of mitigating up to 42% of effective gravitational drag under simulated conditions, channeling spatial energy density to accelerate structural mass without propellant depletion.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Plasma Diagnostics and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.