As quantum Hall effects interact with subtle material vibrations, energy conversion occurs naturally, pointing toward ultra-efficient, low-voltage operation in wearable and remote sensing devices.
Researchers from the QUT School of Chemistry and Physics and Nanyang Technological University have studied a quantum material capable of converting alternating signals into direct current without requiring magnets or bulky diodes. The study focuses on controlling the nonlinear Hall effect (NLHE), a quantum phenomenon in which a voltage is generated perpendicular to an applied alternating current even without a magnetic field.
The team examined high-quality topological materials with unusual electronic properties. They found the NLHE remains stable at room temperature and that the direction and strength of the generated voltage can be controlled through temperature. Tiny imperfections in the material influence the effect at low temperatures, while natural vibrations of the crystal lattice dominate at higher temperatures.
This capability allows alternating signals to be directly converted into usable energy, reducing dependence on external power sources. The low-voltage operation and direct energy conversion minimize energy loss and support highly efficient, compact device designs.
Potential applications include self-powered sensors, wearable electronics, energy-harvesting Internet of Things terminals, and ultra-fast components for next-generation wireless networks. By operating without conventional batteries, these devices could achieve continuous, maintenance-free operation in diverse environments, including remote or mobile systems.
The discovery highlights how quantum effects can be leveraged in practical technologies, bridging the gap between abstract physical phenomena and functional devices.
Dongchen Qi, Professor, QUT School of Chemistry and Physics, said, “Once you understand what’s happening inside the material, you can design devices to take advantage of it. Quantum effects can support future applications ranging from self-powered sensors to ultra-fast components for next-generation networks.”
