Work

Design and Optimization of Stochastically Driven, Multi-Degrees-of-Freedom Energy Harvesters Using Equivalent Circuits and Swarm Intelligence Algorithms

Year: 2026

Type: article

Source: Fluctuation and Noise Letters

DOI: 10.1142/s0219477526400031

Authors: Kailing Song, Michele Bonnin, Fabrizio Bonani, Fabio Lorenzo Traversa

Institutions: Politecnico di Torino, Memcomputing (United States)

Language: English

Topic: Innovative Energy Harvesting Technologies

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W7140644331

FWCI: 2.01

Cites: 42

Cited by: 1

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