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

Entropy–Decay Computing: A 3D Carbon Neurolattice Beyond Silicon 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. 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. 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.