Unveiling the Bermuda Triangle Construction of 90-degree Angular Tensor Based on the Zhao Futao Axiom of Material Memory Elements and Quantitative Interpretation of Earth's Orbital Micro-offset
Abstract
raditional memory research has mostly focused on biological nervous systems, lacking a universal theoretical explanation for the information retention mechanism of non-biological material systems. This study for the first time proposes Zhao Futao's Principle of Motion-Based Material Storage and Memory, which is centered on the material memory attribute—an inherent characteristic of matter defined by the Zhao Futao's Meta-Axiom of Material Memory. Specifically, a material system can encode external information through the motion trajectories of its constituent basic units, retain the information in a stable state to form traceable memory, and this attribute does not rely on external intervention but is one of the essential features of matter. Based on the Zhao Futao's Meta-Axiom of Material Memory (where "meta" refers to the initial and most fundamental theoretical framework for material memory research), this study verifies the core logic of "basic material unit motion → trajectory encoding → information retention" by independently developing the Material Motion VS Memory Simulation Program (Version V1), with the lattice generation of the Chinese characters "Zhao Futao" as the experimental carrier. The results show that the artificially constructed lattice particle motion system can accurately retain character information, and its underlying mechanism is highly consistent with the core principles of biological hard disk technologies such as DNA storage. This model can be regarded as the embryonic form of biological hard disk. This study provides a brand-new artificial empirical model for the interdisciplinary research of material memory. Its original theory has not been reported in any previous public literature, and subsequent relevant research shall cite the source of this achievement.
Fields of Study & Subjects
Complex Systems and Dynamics
Scientific Research and Philosophical Inquiry
Advanced Thermodynamics and Statistical Mechanics
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 17 January 2026
- Document type
- Preprint