FIELDMIND LABCOMPUTATIONAL R&DRU

PUBLIC EVIDENCE DOSSIER

E1Energy2025

Numerical proof-of-concept

E1 — Energy Patches: Storage, Transport and Control in a Driven–Dissipative Complex Field

A minimal energy-accounting field model tests storage windows, directed transport, exchange, noise robustness, optimisation, and a kill-switch.

Read the dossierOpen publication record OPEN INTERACTIVE INSTRUMENT

Normalized educational approximation; not a reproduction of the published experiment.

E1
EVIDENCE MODE
Numerical study
SCOPE
CLAIM-BOUNDED
Publication
Public publication · DOI
01QUESTION

Research question

Can localized energy-like patches be charged, transported, exchanged, and safely suppressed within one numerically balanced model?

02MODEL

MODEL SCOPE

Public model description

A driven–dissipative complex field is equipped with an explicit energy integral and midpoint power-balance diagnostic. Gates, biased corridors, drains, and bridges define storage and transfer primitives.

03EXPERIMENT

PROTOCOL

Declared evidence chain

E1.1–E1.7 separate balance, storage, transport, bridge exchange, noise robustness, objective trade-offs, and a kill-switch instead of combining them into one favourable run.

Series: E1.1–E1.7 · balance · storage · transport · exchange · safety

  • E1.1–E1.7
  • balance
  • storage
  • transport
  • exchange
  • safety

The labels below preserve the public protocol identity. They are an index to the publication, not a substitute for its full methods or an open reproducibility bundle.

04RESULT

EVIDENCE

Results inside the model

7Experiment stages
Pin − PlossBalance diagnostic
OFFKill-switch plateau

INTERACTIVE MODEL LENS

Energy-patch operations lens

A model-level source–store–drain view of charging, corridor transport, exchange, power balance, and the OFF safety plateau.

NORMALIZED EXPLANATORY VIEW
Active stateTransport

A biased corridor guides the localized patch toward the drain.

Geometry, intensity, timing, and motion in this lens are normalized explanatory encodings. They are not experimental measurements. Published aggregates remain in the evidence signals and source figure.
  1. A midpoint power-balance diagnostic is established before performance comparisons.
  2. Storage, corridor transport, and bridge exchange are demonstrated as separate model primitives.
  3. Noise sweeps, a storage–transport objective, and OFF plateaus from the kill-switch expose robustness and safety trade-offs.
05CLAIM BOUNDARY

BOUNDARY

CLAIM BOUNDARY

  1. 01
    Declared numerical protocol

    E1.1–E1.7 · balance · storage · transport · exchange · safety

  2. 02
    Supported model-level finding

    A midpoint power-balance diagnostic is established before performance comparisons.

  3. Claim boundary
  4. 03
    Requires a separate validation chain

    Energy is a model-defined field integral. The work is not a battery, generator, certified storage device, or measurement of physical energy density and round-trip efficiency.

Numerical evidence is not physical validation. Transfer to a material, device, organism, environment, or operational service requires a separate validation chain whenever such a transfer is relevant.

06PUBLICATION

Publication record

Author
Nikita Teslia
Programme
Energy
Claim type
Numerical proof-of-concept
Year
2025
Dossier review
Series
E1.1–E1.7 · balance · storage · transport · exchange · safety
License
CC BY-NC-ND 4.0
DOI
10.5281/zenodo.17213822

Citation

Teslia, N. (2025). E1 — Energy Patches: Storage, Transport and Control in a Driven–Dissipative Complex Field. Zenodo. https://doi.org/10.5281/zenodo.17213822Open publication record

The DOI is the canonical external record. The site condenses the public publication and does not replace it.

PROGRAMME TOPOLOGY

Research lineage

Lineage records publication sequence and explicit revision or supersession links. It does not assert empirical causation or an otherwise unverified cross-branch dependence.

Predecessors

No predecessor is asserted in the current research graph.

E1Energy
Successor
FIELDSTABLE