Key Findings and Scaling Laws

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Authors: adam akeely
Cited by: 0

Abstract

This record presents a concise mathematical framework and scaling laws for an event-driven energy conversion paradigm operating in high-impedance electrostatic environments. The work formalizes threshold-triggered energy release events and establishes invariant relations governing per-event energy, event rate, and average power output. The formulation reframes electrostatic potential as a stored state that produces usable power only through discrete, non-steady-state transitions. The results are intended as a foundational reference (prior art) for non-equilibrium, event-based energy systems and do not disclose device-specific implementations.

Fields of Study & Subjects

Advanced Memory and Neural Computing Innovative Energy Harvesting Technologies Energy Harvesting in Wireless Networks

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 January 2026
Language
EN