John Niroula

Multiscale Co-Design Analysis of Energy, Latency, Area, and Accuracy of a ReRAM Analog Neural Training Accelerator

Matthew Marinella, Sapan Agarwal, Alexander H. Hsia et al. · IEEE Journal on Emerging and Selected Topics in Circuits and Systems · 2018 · 177 citations · Full text

Using Floating-Gate Memory to Train Ideal Accuracy Neural Networks

Sapan Agarwal, Diana R. Garland, John Niroula et al. · IEEE Journal on Exploratory Solid-State Computational Devices and Circuits · 2019 · 43 citations · Full text

Engineering, Machine Learning, Neural Networks (Machine Learning) +19

Field-induced Acceptor Ionization in Enhancement-mode GaN p-MOSFETs

Nadim Chowdhury, Qingyun Xie, John Niroula et al. · 2020 · 35 citations

Semiconductors, Field-induced Acceptor Ionization, Electrical Engineering +12

Enhancement-Mode GaN Transistor Technology for Harsh Environment Operation

Mengyang Yuan, John Niroula, Qingyun Xie et al. · IEEE Electron Device Letters · 2023 · 35 citations · Full text

GaN Ring Oscillators Operational at 500 °C Based on a GaN-on-Si Platform

Mengyang Yuan, Qingyun Xie, Kai Fu et al. · IEEE Electron Device Letters · 2022 · 33 citations · Full text

Wide-bandgap Semiconductor, Electrical Engineering, Engineering +10