Yu‐Chieh Chien

A spiking neural network-in-logic architecture based on reconfigurable molybdenum disulfide dual-gate transistors with ferroelectric gating

Lingqi Li, Haofei Zheng, Chenyang Li, Heng Xiang et autres

Efficient processing of high-dimensional perceptual data is a challenge in modern electronics, as neuromorphic systems typically process all input features indiscriminately, leading to excessive neuronal activation and high energy consumption. A key issue is the lack of a hardware mechanism to suppress …

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First Demonstration of Highly-Scaled Trench-Structured Ferroelectric Capacitive Memory with Record-High Capacitive Memory Window and Integrated ITO Sensing FET

Jingguang Lu, Zuopu Zhou, Leming Jiao, Zijie Zheng et autres

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200-mm SiC Power Device Technology Platform enabled by Process and Integration Innovations

Umesh Chand, Yu‐Chieh Chien, Shiv Kumar, Xuân Sáng Nguyễn et autres

This invited paper addresses the key technical challenges in developing high-performance and reliable SiC power devices—from epitaxy to packaging and reliability. Key innovation opportunities in SiC power device platform technologies are highlighted. Critical unit process modules are discussed, including (1) a high-growth-rate …

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Coplanar Floating-Gate Antiferroelectric Transistor with Multifunctionality for All-in-One Analog Reservoir Computing

Yufei Shi, Zijie Zheng, Jiali Huo, Yu‐Chieh Chien et autres

Analog reservoir computing (ARC) systems offer an energy-efficient platform for temporal information processing. However, their physical implementation typically requires disparate materials and device architectures for different system components, leading to complicated fabrication processes and increased system complexity. In this work, we present …

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Coplanar Structure Design of Floating-gate Antiferroelectric Transistor with Multiple Operation Modes for Reconfigurable Neuromorphic Computing System

Yufei Shi, Jiali Huo, Yu‐Chieh Chien, Kah‐Wee Ang

Ferroelectric Hf0.5Zr0.5O2 with Enhanced Intermediate Polarization: A Platform for Neuromorphic and Logic-in-Memory Computing

Heng Xiang, Lingqi Li, Yu‐Chieh Chien, Haofei Zheng et autres

Ferroelectric materials, known for their nonvolatile and reversible polarization states, are emerging as promising candidates for innovative computing paradigms such as neuromorphic computing and logic-in-memory (LiM) architectures. Their polarization dynamics in response to external stimuli closely emulates biological synapses, a feature crucial …

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Reconfigurable neuromorphic functions in antiferroelectric transistors through coupled polarization switching and charge trapping dynamics

Yu‐Chieh Chien, Jiali Huo, Lingqi Li, Haofei Zheng et autres

The growing demand for energy- and area-efficient emulation of biological nervous systems has fueled significant interest in neuromorphic computing. A promising strategy to achieve compact and efficient neuromorphic functionalities lies in the integration of volatile and non-volatile memory functions. However, implementing these …

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Memristor Array Based on Wafer-Scale 2D HfS2 for Dual-Mode Physically Unclonable Functions

Haofei Zheng, Lingqi Li, Yu‐Chieh Chien, Jie Yang et autres

Conventional Si-based physically unclonable functions (PUFs) take advantage of the unique variations in the fabrication processes. However, these PUFs are hindered by limited entropy sources and susceptibility to noise interference. Here we present a memristive device based on wafer-scale (2-in.) two-dimensional (2D) …

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Ultra-thin and Low-EOT HfOx Seed Layer-assisted Deposition of High-κ Gate Dielectric on 2D Semiconductors

Haofei Zheng, Lingqi Li, Chenyang Li, Sujuan Ding et autres

In-Depth Understanding of Back-switching Dynamics in Anti-ferroelectric HZO for Reservoir Computing

Yufei Shi, Ngoc Thanh Duong, Yu‐Chieh Chien, Kah‐Wee Ang

Ferroelectric Aluminum Scandium Nitride Transistors with Intrinsic Switching Characteristics and Artificial Synaptic Functions for Neuromorphic Computing

Jing Li Gao, Yu‐Chieh Chien, Lingqi Li, Hock Koon Lee et autres

Abstract Aluminum Scandium Nitride (Al 1−x Sc x N) has received attention for its exceptional ferroelectric properties, whereas the fundamental mechanism determining its dynamic response and reliability remains elusive. In this work, an unreported nucleation‐based polarization switching mechanism in Al 0.7 Sc …

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Switching Dynamics in Anti‐Ferroelectric Transistor for Multimodal Reservoir Computing

Yufei Shi, Ngoc Thanh Duong, Yu‐Chieh Chien, Sifan Li et autres

Abstract Spatial‐temporal time series analysis and forecasting are crucial for understanding dynamic systems and making informed decisions. Recurrent neural networks (RNNs) have paved the way for reservoir computing (RC), a method enabling effective temporal information processing at low training costs. While software‐based …

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