System and Method for Geometrodynamic Manifold Tomography via a Portable Apparatus

Abstract: A system and method for the non-destructive characterization of a physical object are disclosed. The system comprises a portable apparatus, including a novel sensor array, communicatively coupled to a computational engine. The method involves actively probing the object with said sensor array to acquire localized physical data. The computational engine, operating on principles of a foundational geometrodynamic framework, transforms the acquired data into a dynamic, high-dimensional geometric model of the object, referred to as its General Reality Manifold (GRM). This GRM represents the object's state, including its internal stresses, thermal gradients, and quantum properties, as geometric features such as local curvature and torsion. The system provides a user with an interactive, predictive, and somatic interface to visualize and analyze the object's state manifold in real-time, thereby overcoming the fundamental limitations of prior art simulation and data-driven analysis techniques.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-23
DOI
https://doi.org/10.5281/zenodo.17183012
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

System and Method for Geometrodynamic Manifold Tomography via a Portable Apparatus

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

System and Method for Geometrodynamic Manifold Tomography via a Portable Apparatus

article en

Abstract

Abstract: A system and method for the non-destructive characterization of a physical object are disclosed. The system comprises a portable apparatus, including a novel sensor array, communicatively coupled to a computational engine. The method involves actively probing the object with said sensor array to acquire localized physical data. The computational engine, operating on principles of a foundational geometrodynamic framework, transforms the acquired data into a dynamic, high-dimensional geometric model of the object, referred to as its General Reality Manifold (GRM). This GRM represents the object's state, including its internal stresses, thermal gradients, and quantum properties, as geometric features such as local curvature and torsion. The system provides a user with an interactive, predictive, and somatic interface to visualize and analyze the object's state manifold in real-time, thereby overcoming the fundamental limitations of prior art simulation and data-driven analysis techniques.

Zenodo (CERN European Organization for Nuclear Research)
Istanbul Medipol University (TR)
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
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System and Method for Geometrodynamic Manifold Tomography via a Portable Apparatus · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS