Key Findings and Scaling Laws
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