Three-Dimensional Stable Structures and Physical Applications Based on Zero-Point Sequence Statistics

This study presents a minimal theory for constructing three-dimensional stable structures and critical stability based on zero-point sequence statistics. By combining two-dimensional logarithmic interactions with a phase progression axis along the temporal direction, long-range temporal rigidity is achieved. Critical stability is ensured by minimizing the free energy under the Riemann Hypothesis (RH) constraint. The theory can be directly applied to quantum dots, photonic crystals, and strongly correlated electron systems, allowing for both numerical and experimental verification. This document was prepared with the assistance of AI (Large Language Model) to optimize the mathematical expressions, LaTex formatting, and structural organization of the theoretical framework.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-03
DOI
https://doi.org/10.5281/zenodo.18847132
Primary Topic
Quantum many-body systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Three-Dimensional Stable Structures and Physical Applications Based on Zero-Point Sequence Statistics

Hidekazu Hirota
Zenodo (CERN European Organization for Nuclear Research)
Quantum many-body systems
article

Three-Dimensional Stable Structures and Physical Applications Based on Zero-Point Sequence Statistics

Hidekazu Hirota
article en

Abstract

This study presents a minimal theory for constructing three-dimensional stable structures and critical stability based on zero-point sequence statistics. By combining two-dimensional logarithmic interactions with a phase progression axis along the temporal direction, long-range temporal rigidity is achieved. Critical stability is ensured by minimizing the free energy under the Riemann Hypothesis (RH) constraint. The theory can be directly applied to quantum dots, photonic crystals, and strongly correlated electron systems, allowing for both numerical and experimental verification. This document was prepared with the assistance of AI (Large Language Model) to optimize the mathematical expressions, LaTex formatting, and structural organization of the theoretical framework.

Zenodo (CERN European Organization for Nuclear Research)
Affordable and clean energy
Openalex Percentile: Top 37%
Quantum many-body systems
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.