Key Findings and Scaling Laws
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.
Authors
- adam akeely
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-01-03
- DOI
- https://doi.org/10.5281/zenodo.18136664
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00