Matteo Bevione
Papers
1
Total Citations
7
H-Index
1
About
Matteo Bevione is a researcher at the forefront of soft robotics and energy harvesting, with a focus on plasmonic nanofluids and liquid-based autonomous systems. His most-cited work, "Plasmonic Nanofluids: Enhancing Photothermal Gradients toward Liquid Robots" (2023, 7 citations), addresses a critical challenge in soft robotics: in situ energy generation in stretchable, fault-resistant devices. Bevione pioneers the use of nanofluids with pyro-, tribo-, and thermoelectric properties to create liquid-based energy harvesters, enabling self-powered, flexible robots. His contributions advance the integration of photothermal gradients and plasmonic effects, offering a novel pathway for autonomous systems that can operate without rigid components. With a growing citation impact, Bevione’s work is shaping next-generation soft robotics and energy technologies, making him a notable figure in the intersection of materials science and robotics.
Research Focus
Key Achievements
Top Papers
- 1