Cohesion Computing

Cohesion Computing is a proposed computational architecture based on the two geometrically stable recursion states of the cohesion field at the electromagnetic scale:the Hexpolar state (n = 6) and the Bipolar state (n = 2). These states arise fromthe geometric exclusion theorem of the funneled-spring recursion under the pressureaxiom, which permits only two stable torsion-slip configurations. The transition betweenthem is discrete, topologically protected, and pressure-driven — forming a naturalbinary logic system. Unlike semiconductor logic, which relies on charge transport,Cohesion Computing uses recursion polarity as the computational primitive. Thetoggle is a geometric phase transition with no thermally accessible intermediate state.The primary near-term physical candidate is graphene at the Dirac point, where theWiedemann-Franz violation is the direct observational signature of the n = 6 → n = 2threshold crossing. The natural clock frequency is 647 THz; the topological protectionoperates independently of temperature because no intermediate state exists at anyenergy. This paper outlines the physical basis, computational primitives, switchingmechanism, memory architecture, graphene implementation pathway, and engineeringspecifications of Cohesion Computing.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-04-25
DOI
https://doi.org/10.5281/zenodo.19750519
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cohesion Computing

Dexter Gilbert
Zenodo (CERN European Organization for Nuclear Research)
Advanced Memory and Neural Computing
article

Cohesion Computing

Dexter Gilbert
article en

Abstract

Cohesion Computing is a proposed computational architecture based on the two geometrically stable recursion states of the cohesion field at the electromagnetic scale:the Hexpolar state (n = 6) and the Bipolar state (n = 2). These states arise fromthe geometric exclusion theorem of the funneled-spring recursion under the pressureaxiom, which permits only two stable torsion-slip configurations. The transition betweenthem is discrete, topologically protected, and pressure-driven — forming a naturalbinary logic system. Unlike semiconductor logic, which relies on charge transport,Cohesion Computing uses recursion polarity as the computational primitive. Thetoggle is a geometric phase transition with no thermally accessible intermediate state.The primary near-term physical candidate is graphene at the Dirac point, where theWiedemann-Franz violation is the direct observational signature of the n = 6 → n = 2threshold crossing. The natural clock frequency is 647 THz; the topological protectionoperates independently of temperature because no intermediate state exists at anyenergy. This paper outlines the physical basis, computational primitives, switchingmechanism, memory architecture, graphene implementation pathway, and engineeringspecifications of Cohesion Computing.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 8%
Advanced Memory and Neural Computing
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.