A technical paper titled “Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing” was published by researchers at the Indian Institute of Technology (IIT) Bombay.
“Energy-efficient real-time synapses and neurons are essential to enable large-scale neuromorphic computing. In this paper, we propose and demonstrate the Schottky-Barrier MOSFET-based ultra-low power voltage-controlled current source to enable real-time neurons for neuromorphic computing. Schottky-Barrier MOSFET is fabricated on a Silicon-on-insulator platform with polycrystalline Silicon as the channel and Nickel/Platinum as the source/drain. The Poly-Si and Nickel make the back-to-back Schottky junction enabling ultra-low ON current required for energy-efficient neurons.”
Find the technical paper here. Published: April 2023 (preprint)
Patil, Shubham, Jayatika Sakhuja, Ajay Kumar Singh, Anmol Biswas, Vivek Saraswat, Sandeep Kumar, Sandip Lashkare, and Udayan Ganguly. “Schottky Barrier MOSFET Enabled Ultra-Low Power Real-Time Neuron for Neuromorphic Computing.” arXiv preprint arXiv:2304.08504 (2023).
Power MOSFETs Knowledge Center