462 citations · 1.1k across the 16 of their papers we have counts for
16 papers
Reimagining Sense Amplifiers: Harnessing Phase Transition Materials for Current and Voltage Sensing
Md Mazharul Islam, Shamiul Alam, Mohammad Adnan Jahangir +5
Energy-efficient sense amplifier (SA) circuits are essential for reliable detection of stored memory states in emerging memory systems. In this work, we present four novel sense am…
Logic Compatible High-Performance Ferroelectric Transistor Memory
Sourav Dutta, Huacheng Ye, Abhishek Khanna +11
Silicon ferroelectric field-effect transistors (FeFETs) with low-k interfacial layer (IL) between ferroelectric gate stack and silicon channel suffers from high write voltage, limi…
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference
Sourav Dutta, Georgios Detorakis, Abhishek Khanna +3
Many real-world mission-critical applications require continual online learning from noisy data and real-time decision making with a defined confidence level. Probabilistic models…
Indium-Tin-Oxide Transistors with One Nanometer Thick Channel and Ferroelectric Gating
Mengwei Si, Joseph Andler, Xiao Lyu +4
In this work, we demonstrate high performance indium-tin-oxide (ITO) transistors with the channel thickness down to 1 nm and ferroelectric Hf0.5Zr0.5O2 as gate dielectric. On-curre…
A Hybrid FeMFET-CMOS Analog Synapse Circuit for Neural Network Training and Inference
Arman Kazemi, Ramin Rajaei, Kai Ni +3
An analog synapse circuit based on ferroelectric-metal field-effect transistors is proposed, that offers 6-bit weight precision. The circuit is comprised of volatile least signific…
Inherent Weight Normalization in Stochastic Neural Networks
Georgios Detorakis, Sourav Dutta, Abhishek Khanna +3
Multiplicative stochasticity such as Dropout improves the robustness and generalizability of deep neural networks. Here, we further demonstrate that always-on multiplicative stocha…