activity
20212024
most citedIntrinsic synaptic plasticity of ferroelectric field effect transistors for online learning

26 citations · 39 across the 5 of their papers we have counts for

collaborators

6 papers

cs.ET2024

Paving the Way for Pass Disturb Free Vertical NAND Storage via A Dedicated and String-Compatible Pass Gate

Zijian Zhao, Sola Woo, Khandker Akif Aabrar +22

In this work, we propose a dual-port cell design to address the pass disturb in vertical NAND storage, which can pass signals through a dedicated and string-compatible pass gate. W…

cs.ET2023

A Ferroelectric Compute-in-Memory Annealer for Combinatorial Optimization Problems

Xunzhao Yin, Yu Qian, Alptekin Vardar +11

Computationally hard combinatorial optimization problems (COPs) are ubiquitous in many applications, including logistical planning, resource allocation, chip design, drug explorati…

cs.AR20221 cited

Ferroelectric FET based Context-Switching FPGA Enabling Dynamic Reconfiguration for Adaptive Deep Learning Machines

Yixin Xu, Zijian Zhao, Yi Xiao +16

Field Programmable Gate Array (FPGA) is widely used in acceleration of deep learning applications because of its reconfigurability, flexibility, and fast time-to-market. However, c…

physics.app-ph20221 cited

CMOS-Compatible Ising Machines built using Bistable Latches Coupled through Ferroelectric Transistor Arrays

Antik Mallick, Zijian Zhao, Mohammad Khairul Bashar +8

Realizing compact and scalable Ising machines that are compatible with CMOS-process technology is crucial to the effectiveness and practicality of using such hardware platforms for…

cs.ET202111 cited

Deep Random Forest with Ferroelectric Analog Content Addressable Memory

Xunzhao Yin, Franz Müller, Ann Franchesca Laguna +14

Deep random forest (DRF), which incorporates the core features of deep learning and random forest (RF), exhibits comparable classification accuracy, interpretability, and low memor…

cs.ET202126 cited

Intrinsic synaptic plasticity of ferroelectric field effect transistors for online learning

Arnob Saha, A N M Nafiul Islam, Zijian Zhao +3

Nanoelectronic devices emulating neuro-synaptic functionalities through their intrinsic physics at low operating energies is imperative toward the realization of brain-like neuromo…