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5 papers matching these filters
- September 1, 2026Revised September 1, 202634 min readEssayEnergyAIMaterialsEngineering
The Exponent Is the Price: Quantum Tunneling and the Architecture of Wireless Electric Grids
The phrase "wireless power transfer by quantum tunneling" is, read literally, a category error. Single-particle electron tunneling through a vacuum or dielectric barrier is suppressed as with for a metal–vacuum–metal junction. Deliv…
Oleksii Vergunenko - August 30, 202613 min readEssayComputePhysicsMaterialsEngineering
TEMPO: A Time-Domain Ferroelectric Compute-in-Memory Macro with Drift-Cancelling Twin Cells and Significance-Ordered Early Termination
The energy cost of moving data between memory and processing units now dominates the energy cost of arithmetic itself, often by two to three orders of magnitude for off-chip access. Compute-in-memory (CIM) architectures attack this bottleneck by performing multiply-accumulate (MA…
Oleksii Vergunenko - August 29, 2026Revised August 29, 202616 min readEssayEnergyPhysicsMaterialsEngineering
The Micro Black Hole Energy Converter: A Specification-Driven Assessment of Hawking-Radiation Power Extraction
A black hole of mass 10⁸–10⁹ kg radiates its entire rest-mass energy as Hawking emission over years to decades at sustained power of order 10¹⁶–10¹⁷ W, making it the most mass-efficient energy converter permitted by known physics: effective conversion efficiency approaches unity,…
Oleksii Vergunenko - August 29, 2026Revised September 16, 202623 min readEssayBioTechRoboticsChemistryMaterialsEngineering
Engineered Living Materials as Robotic Integuments: Platforms, Specifications, and a Bandwidth Argument for Hybrid Skin
Engineered living materials (ELMs) — materials in which living cells are a load-bearing, functional component rather than a contaminant — have been proposed as a covering layer for robots. Three platforms have produced physical demonstrations: tissue-engineered mammalian dermis a…
Oleksii Vergunenko - August 29, 2026Revised August 30, 202619 min readEssayComputeAIPhysicsMaterialsEngineering
Multiplication Without Transistors: An Audit of Photonic Matrix Processors as Accelerators for Large Language Model Training
Matrix multiplication accounts for the overwhelming majority of arithmetic operations — and a dominant share of energy expenditure — in training large language models (LLMs). Photonic processors perform matrix–vector multiplication (MVM) as a passive consequence of light propaga…
Oleksii Vergunenko