AI-aided ceramics could lower costs for ambient energy harvesters

University of Basel researchers used AI to identify ceramics that generate electricity from motion, potentially reducing expenses for small-scale energy capture.

University of Basel researchers used AI to identify ceramics that generate electricity from motion. This work targets cheaper piezoelectric energy harvesters for ambient applications—devices that convert footsteps, vibrations, or wind into usable power. The approach could lower costs for small-scale energy capture in settings where grid access is limited, like remote sensors or low-power electronics. However, the technology remains in early research stages with no commercial deployment yet. The source material is brief and does not specify quantities, timelines, or real-world testing results. Details about the ceramics’ performance or scalability sit with the original research team.

Source: Phys.org