Kopyltsov, Korshunov, Lukyanov & Serov (2016): Distributed Computing of EMR Interaction with Structured Surface — Peer-Reviewed Confirmation of Fractal Self-Similarity in Field Response

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Kopyltsov, Korshunov, Lukyanov & Serov (2016): Distributed Computing of EMR Interaction with Structured Surface — Peer-Reviewed Confirmation of Fractal Self-Similarity in Field Response

Kopyltsov et al. (2016): Distributed Cluster Computing Proves Fractal Self-Similarity in Converted EMF Above Aires Resonator

Peer-reviewed publication by a multi-institution team (LETI, AIRES Foundation, ITMO). Mathematical model and high-performance parallel cluster computing simulations demonstrate that EM radiation converted by the Aires resonator differs significantly from incident radiation — exhibiting fractal self-similarity and concentrated power above the plate’s central region.

Peer-reviewed publicationComputational physicsDistributed computingFractal self-similarityLETIITMOAIRES Foundation2016
Peer-reviewed
Published in SPIRAS Regional Informatics Collected Papers
4
Authors from 3 institutions
Cluster HPC
High-performance parallel computing used
2016
Published: St. Petersburg

Authors and Institutions

A.V. Kopyltsov

Saint Petersburg State Electrotechnical University LETI — Doctor of Engineering. Scientific consultant on multiple Aires computational reports and experimental studies.

K.A. Korshunov

AIRES Foundation, Programmer Engineer. Lead researcher and programmer for the MEMS simulation suite and this distributed computing work.

G.N. Lukyanov

ITMO University (St. Petersburg National Research University of Information Technologies, Mechanics and Optics) — Doctor of Engineering, Professor. Lead on theoretical simulation work.

I.N. Serov

AIRES Foundation — President. Project manager across the multi-institution research program.

Publication Details

Published as a peer-reviewed paper in: Regional Informatics and Information Security. Collected Papers. Issue 2. Saint Petersburg Society for Informatics, Computer Engineering, Communications and Control Systems — Saint Petersburg, 2016, pp. 383–387. UDC 57.054.

Background: The Problem of EMR–Resonator Interaction

The AIRES resonator surface consists of curvilinear slits (circular grooves) arranged in a self-similar, scale-invariant pattern based on affine transformations — a self-affine structure. When electromagnetic radiation interacts with this surface, standard physics predicts:

  • Reflection from the surface (specular, proportional to incidence angle)
  • Diffraction at the narrow slits (diffraction pattern per Huygens–Fresnel principle)

However, the observed behavior is not well-described by these effects alone. Two additional mechanisms are present:

  1. Charge shift (semiconductor effect): Electric field interacting with the silicon substrate causes charge carrier concentration to become significantly higher in the slits than in surrounding areas. This creates local potential wells in the slit geometry.
  2. Potential-driven emission: When the potential difference between neighboring slits reaches a critical value φ_cr, carriers in the slits act as a new source of EM radiation — with frequency determined by electron oscillation in the charged grating structure rather than by the incident wave.

Mathematical Model

The model incorporates the conservation laws for electrons and holes in the semiconductor substrate:

∂n_e/∂t = μ_e × div(n_e × E) + D_e × ∇²n_e − β_e × n_e × n_p   [electrons]
∂n_p/∂t = −μ_p × div(n_p × E) + D_p × ∇²n_p − β_p × n_e × n_p   [holes]

The electron oscillation frequency of the evenly charged plate:

ω₀ = √(4π × k₀ × e² × n / m_e)   where k₀ = 9×10⁹ N·m²/C²

The total electric field above the resonator surface is the vector sum of three components:

E_total = E_reflected + E_free-electrons + E_diffracted

Each component is computed separately at each point in the 3D receiver space, then summed. This formulation captures the multi-mechanism nature of the resonator’s response that standard single-mechanism EMF simulation misses.

Distributed Computing Approach

Computing the complete field distribution for a self-affine resonator with 83,521+ ring resonators (C16S topology) across a 3D receiver space is computationally prohibitive on a single machine. This work used a cluster of highly productive parallel computations — distributed computing across multiple nodes — to calculate the field at each grid point simultaneously. This approach made feasible what the single-machine sequential algorithm required 120 machine-hours for, enabling systematic parameter sweeps.

Key Results

Converted radiation has fractal self-similarity: The EM field computed above the resonator surface after interaction differs significantly from the incident field. In particular, the converted radiation exhibits fractal self-similarity — the spatial pattern of field maxima and minima scales with the same self-affine mathematical structure as the resonator surface itself. This is a direct consequence of the self-similar grating generating self-similar diffraction at each fractalization level.
Powerful wave above the central region: A concentrated high-intensity wave is generated above the central part of the plate. This central concentration results from the paired radial axes of the self-affine topology: counter-propagating surface waves from opposite sides of the ring topology meet at the center, generating constructive interference at the focal point. This finding is independently confirmed by the MEMS simulation reports (C16S–32S and 64P1S5G) published in 2018–2020.

Conclusion

This 2016 peer-reviewed paper provided the first published mathematical-computational confirmation that Aires resonator-generated EM fields have fractal self-similarity and concentrated central power — properties qualitatively distinct from ordinary diffraction or reflection. The multi-institution authorship (LETI + ITMO + AIRES Foundation) and peer review process distinguish this from internal company reports, making it an important independent confirmation of the resonator’s operating principles.

Citation: Kopyltsov A.V., Korshunov K.A., Lukyanov G.N., Serov I.N. (2016). Distributed Computing of Interaction of Electromagnetic Radiation with a Structured Surface. In Regional Informatics and Information Security: Collected Papers, Issue 2 (pp. 383–387). Saint Petersburg.

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