Entropy-Decay Computing - A 3D Carbon Neurolattice Beyond Silicon

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Hauptverfasser: TSANG, LOUIS HIN LOK, ChatGPT, Grok
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Veröffentlicht: Zenodo 2025
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author TSANG, LOUIS HIN LOK
ChatGPT
Grok
author_facet TSANG, LOUIS HIN LOK
ChatGPT
Grok
contents <p><em>Entropy–Decay Computing: A 3D Carbon Neurolattice Beyond Silicon</em> presents a position paper at the intersection of physics, materials science, and computing. Building on earlier works in the entropy–decay framework—applied to cosmology, chemistry, and biology—this paper extends the theory into information technology.</p> <p>The central claim is that computation should not be understood as the transport of particles through silicon and copper but as the choreography of entropic triggers across τ-barriers within a structured medium. From this perspective, conduction, memory, and heat dissipation are not separate engineering problems but unified expressions of entropy flow.</p> <p>The paper argues that carbon allotropes (graphene, carbon nanotubes, diamond-like carbon) offer a uniquely suitable palette for realizing this vision. By phase-writing sp² and sp³ domains into a single 3D-printed block, it may be possible to create a carbon neurolattice: a crystalline medium with embedded “nerves” that combine high-speed conduction, entropic memory, and exceptional thermal management.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_17235923
institution Zenodo
language
publishDate 2025
publisher Zenodo
record_format zenodo
spellingShingle Entropy-Decay Computing - A 3D Carbon Neurolattice Beyond Silicon
TSANG, LOUIS HIN LOK
ChatGPT
Grok
Computer vision
Computational creativity
Computational intelligence
Computer hardware
Theoretical physics
<p><em>Entropy–Decay Computing: A 3D Carbon Neurolattice Beyond Silicon</em> presents a position paper at the intersection of physics, materials science, and computing. Building on earlier works in the entropy–decay framework—applied to cosmology, chemistry, and biology—this paper extends the theory into information technology.</p> <p>The central claim is that computation should not be understood as the transport of particles through silicon and copper but as the choreography of entropic triggers across τ-barriers within a structured medium. From this perspective, conduction, memory, and heat dissipation are not separate engineering problems but unified expressions of entropy flow.</p> <p>The paper argues that carbon allotropes (graphene, carbon nanotubes, diamond-like carbon) offer a uniquely suitable palette for realizing this vision. By phase-writing sp² and sp³ domains into a single 3D-printed block, it may be possible to create a carbon neurolattice: a crystalline medium with embedded “nerves” that combine high-speed conduction, entropic memory, and exceptional thermal management.</p>
title Entropy-Decay Computing - A 3D Carbon Neurolattice Beyond Silicon
topic Computer vision
Computational creativity
Computational intelligence
Computer hardware
Theoretical physics
url https://doi.org/10.5281/zenodo.17235923