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.
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Dexter Gilbert
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Dexter Gilbert (Sat,) studied this question.
www.synapsesocial.com/papers/69eefde9fede9185760d4b33 — DOI: https://doi.org/10.5281/zenodo.19750519