133 citations · 454 across the 19 of their papers we have counts for
19 papers
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…
Embedding Security into Ferroelectric FET Array via In-Situ Memory Operation
Yixin Xu, Yi Xiao, Zijian Zhao +7
Non-volatile memories (NVMs) have the potential to reshape next-generation memory systems because of their promising properties of near-zero leakage power consumption, high density…
Powering Disturb-Free Reconfigurable Computing and Tunable Analog Electronics with Dual-Port Ferroelectric FET
Zijian Zhao, Shan Deng, Swetaki Chatterjee +15
Single-port ferroelectric FET (FeFET) that performs write and read operations on the same electrical gate prevents its wide application in tunable analog electronics and suffers fr…
Eliminating Leakage in Volatile Memory with Anti-Ferroelectric Transistors
Hongtao Zhong, Zijie Zheng, Leming Jiao +8
Cache serves as a temporary data memory module in many general-purpose processors and domain-specific accelerators. Its density, power, speed, and reliability play a critical role…
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…
A Homogeneous Processing Fabric for Matrix-Vector Multiplication and Associative Search Using Ferroelectric Time-Domain Compute-in-Memory
Xunzhao Yin, Qingrong Huang, Franz Müller +8
In this work, we propose a ferroelectric FET(FeFET) time-domain compute-in-memory (TD-CiM) array as a homogeneous processing fabric for binary multiplication-accumulation (MAC) and…
Hybrid Stochastic Synapses Enabled by Scaled Ferroelectric Field-effect Transistors
A N M Nafiul Islam, Arnob Saha, Zhouhang Jiang +2
Achieving brain-like density and performance in neuromorphic computers necessitates scaling down the size of nanodevices emulating neuro-synaptic functionalities. However, scaling…
Ferroelectric FET-based strong physical unclonable function: a low-power, high-reliable and reconfigurable solution for Internet-of-Things security
Xinrui Guo, Xiaoyang Ma, Franz Muller +5
Hardware security has been a key concern in modern information technologies. Especially, as the number of Internet-of-Things (IoT) devices grows rapidly, to protect the device secu…
COSIME: FeFET based Associative Memory for In-Memory Cosine Similarity Search
Che-Kai Liu, Haobang Chen, Mohsen Imani +8
In a number of machine learning models, an input query is searched across the trained class vectors to find the closest feature class vector in cosine similarity metric. However, p…
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…
An Ultra-Compact Single FeFET Binary and Multi-Bit Associative Search Engine
Xunzhao Yin, Franz Müller, Qingrong Huang +12
Content addressable memory (CAM) is widely used in associative search tasks for its highly parallel pattern matching capability. To accommodate the increasingly complex and data-in…
Computational Associative Memory with Amorphous InGaZnO Channel 3D NAND-Compatible FG Transistors
Chen Sun, Chao Li, Subhranu Samanta +11
3D NAND enables continuous NAND density and cost scaling beyond conventional 2D NAND. However, its poly-Si channel suffers from low mobility, large device variations, and instabili…
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…
Hardware Functional Obfuscation With Ferroelectric Active Interconnects
Tonggunag Yu, Yixin Xu, Shan Deng +8
Camouflaging gate techniques are typically used in hardware security to prevent reverse engineering. Layout level camouflaging by adding dummy contacts ensures some level of protec…
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…
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…
FeCAM: A Universal Compact Digital and Analog Content Addressable Memory Using Ferroelectric
Xunzhao Yin, Chao Li, Qingrong Huang +5
Ferroelectric field effect transistors (FeFETs) are being actively investigated with the potential for in-memory computing (IMC) over other non-volatile memories (NVMs). Content Ad…
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…
Phase Field Modeling of Domain Dynamics and Polarization Accumulation in Ferroelectric HZO
Atanu K Saha, Kai Ni, Sourav Dutta +2
In this work, we investigate the accumulative polarization (P) switching characteristics of ferroelectric (FE) thin films under the influence of sequential electric-field pulses. B…