Probabilistic Control of Phase Transitions in Graphene and 2D Materials via Dynamic Composite Fields and Zero-Knowledge Feedback Loops

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Authors: Satoshi Kawauchi
Cited by: 0

Abstract

This paper introduces a "Probability Event Control System" to achieve deterministic synthesis of high-quality graphene and 2D materials. By shifting the paradigm from brute-force chemical reactions to "informational catalysis," the system applies a Dynamic Composite Field (DCF) to guide precursors through non-continuous phase transitions. A critical innovation is the Zero-Knowledge Feedback (ZKF) protocol, which monitors structural emergence without inducing decoherence, ensuring the hexagonal lattice forms with unity probability. To mitigate ontological risks, the control algorithm incorporates causality constraints and an "Apoptosis Protocol" to revert the medium to a stable ground state upon detecting anomalies. This universal framework enables ultra-high-efficiency material creation and environmental restoration, serving as a material foundation for future orbital civilizations (World_C).

Fields of Study & Subjects

Graphene research and applications Machine Learning in Materials Science Complex Systems and Dynamics

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
27 January 2026
Document type
Thesis