Daniil Yurchenko

Papers

Total Citations

306

H-Index

About

Daniil Yurchenko is a leading figure in the field of energy harvesting and nonlinear dynamics, with a particular focus on developing self-powered sensing systems. His most-cited work, "Rotational energy harvesting for self-powered sensing" (2021, 306 citations), represents a pivotal contribution to converting ambient rotational motion into usable electrical energy, enabling autonomous sensors for industrial and environmental monitoring. Yurchenko’s research bridges theoretical nonlinear dynamics with practical engineering applications, exploring how bistable and rotational mechanisms can enhance energy capture efficiency under realistic, low-frequency excitations. His work has been instrumental in advancing vibration-based energy harvesters, with significant implications for wireless sensor networks and Internet of Things (IoT) devices. Beyond his highly cited paper, Yurchenko has published extensively on nonlinear oscillators, stochastic dynamics, and the optimization of energy harvesting systems, earning recognition for his innovative approaches to solving real-world power challenges. His contributions have been widely cited by the energy harvesting community, reflecting his role in shaping modern self-powered technologies.