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PolyU's 2D TFET Breaks Boltzmann Limit for Energy-Efficient AI Chips

PolyU researchers develop 2D tunnelling transistor breaking Boltzmann limit, enabling ultra-low-power AI chips. Published in Science, the TFET achieves sub-60mV/decade switching, boosting energy efficiency.

This breakthrough matters because it addresses a critical bottleneck in semiconductor technology: the Boltzmann limit, which has restricted transistor energy efficiency for decades. By overcoming this limit with a TFET using 2D materials, the research enables ultra-low-power transistors that can operate at much lower voltages, making future AI chips and integrated circuits more energy-efficient. This could lead to longer battery life in portable devices, reduced energy consumption in data centers, and more powerful computing systems, while also opening new avenues for advanced semiconductor manufacturing.