Pixel-Selective Beta Irradiation for Geometric Signal Encoding in Organic Substrates

This paper proposes a novel method for writing structured information into organic substrates using pixel-selective beta irradiation. Drawing on the principles of closed surface theory, each molecular region is modeled as a φ structure—a localized surface capable of supporting geometric interference patterns and reactive phase behavior. By selectively activating beta-emitting pixels, the internal geometry of these regions can be altered, modulating their pattern density (∇²φ), vibrational frequency (ν), and phase response (φ₀ᵢ, φᵢⱼ). The method enables discrete spatial encoding of logic states, memory elements, and phase filters into thin-film substrates, paving the way for radiation-defined molecular memory and analog signal modulation. The approach is extendable to X-ray lithography for nanoscale patterning, and the multilayer arrangement of φ-pixel structures allows for hierarchical temporal filtering and signal discrimination. Notably, the architecture mimics biological systems such as the retina and cortex, where signal relevance is extracted through layered temporal reaction. This framework lays the foundation for programmable materials governed not by composition, but by geometry and phase logic.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-19
DOI
https://doi.org/10.5281/zenodo.16138783
Primary Topic
Neuroscience and Neural Engineering
Type
article
Field-Weighted Citation Impact
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article

Pixel-Selective Beta Irradiation for Geometric Signal Encoding in Organic Substrates

Zenodo (CERN European Organization for Nuclear Research)
Neuroscience and Neural Engineering
article

Pixel-Selective Beta Irradiation for Geometric Signal Encoding in Organic Substrates

article en

Abstract

This paper proposes a novel method for writing structured information into organic substrates using pixel-selective beta irradiation. Drawing on the principles of closed surface theory, each molecular region is modeled as a φ structure—a localized surface capable of supporting geometric interference patterns and reactive phase behavior. By selectively activating beta-emitting pixels, the internal geometry of these regions can be altered, modulating their pattern density (∇²φ), vibrational frequency (ν), and phase response (φ₀ᵢ, φᵢⱼ). The method enables discrete spatial encoding of logic states, memory elements, and phase filters into thin-film substrates, paving the way for radiation-defined molecular memory and analog signal modulation. The approach is extendable to X-ray lithography for nanoscale patterning, and the multilayer arrangement of φ-pixel structures allows for hierarchical temporal filtering and signal discrimination. Notably, the architecture mimics biological systems such as the retina and cortex, where signal relevance is extracted through layered temporal reaction. This framework lays the foundation for programmable materials governed not by composition, but by geometry and phase logic.

Zenodo (CERN European Organization for Nuclear Research)
Kappa Omicron Nu Honor Society (US)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 49%
Neuroscience and Neural Engineering
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