Article
Chemistry, Physical
Jimin Han, Boyoung Jeong, Dwipak Prasad Sahu, Hyun-Mi Kim, Tae-Sik Yoon
Summary: Non-volatile charge-trap memory characteristics were investigated in thin-film transistors, utilizing an indium-gallium-zinc oxide channel and an oxygen-deficient hafnium oxide (HfO2-x) charge-trap layer. The HfO2-x charge-trap layer, deposited at low temperature, exhibited high defect density and stored electrons. The device showed non-volatile memory characteristics, with positive gate bias inducing electron charging in the charge-trap layer and negative bias reversibly reducing it.
JOURNAL OF ALLOYS AND COMPOUNDS
(2023)
Article
Engineering, Electrical & Electronic
ChoongHyun Lee, Xiang Ding, Zhangsheng Lan, Jirong Liu, Chu Yan, Zhengyang Chen, Liang Zhao, Yi Zhao
Summary: In this work, the material potential of yttrium-content GeOx (YGO) is explored for the design of a charge-trapping gate stack in embedded non-volatile memory (eNVM). A Ge eNVM with an oxidation-induced self-assembled YGO layer as the charge trapping layer is proposed, which offers fast program/erase speed, low-voltage operation, long data retention lifetime, and high endurance.
IEEE ELECTRON DEVICE LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Jun Hyup Jin, Min Ju Kim
Summary: This study introduces hybrid-based ultra-thin films as the gate-stack of CT-ONVM devices to improve their memory window and reliability. Thicker gate-stacks generate interface traps, which degrade the subthreshold swing and result in a non-change of the memory window.
MICROELECTRONICS RELIABILITY
(2023)
Article
Nanoscience & Nanotechnology
Yaochen Sheng, Xinyu Chen, Fuyou Liao, Yin Wang, Jingyi Ma, Jianan Deng, Zhongxun Guo, Sitong Bu, Hui Shen, Fuyu Bai, Daming Huang, Jianlu Wang, Weida Hu, Lin Chen, Hao Zhu, Qingqing Sun, Peng Zhou, David Wei Zhang, Jing Wan, Wenzhong Bao
Summary: This study systematically investigates the channel doping effect caused by various processing steps based on mechanical exfoliated MoS(2) sheets, and provides a simple and efficient methodology to realize high-performance MoS(2) field effect transistors.
ADVANCED ELECTRONIC MATERIALS
(2021)
Article
Computer Science, Information Systems
Jin-Young Hwang, Young-Taek Ryu, Kee-Won Kwon
Summary: This paper provides a thorough analysis and enhancement techniques for the linearity between input voltage and output current in charge storage FET cells. The research reveals that planar floating gate FET cells exhibit superior linearity, while charge trap FET cells require compensation methods. The auxiliary current path in charge trap FET cells demonstrates good linearity over a 500 mV input range. Furthermore, the FET with a diode connected auxiliary current path achieves the best performance considering cell area.
Article
Engineering, Electrical & Electronic
Hongshan Xiao, Yifan Liu, Sujuan Ding, Yunfei Gao, Minglong Zhai, Xuelei Liang, Chuanhong Jin, Honggang Liu, Zhiyong Zhang
Summary: Measurement and optimization of interface states in metal oxide semiconductors are necessary for high-performance and high-reliability FETs. However, research on interface states of CNT film FETs is lacking. In this study, MOS capacitors were fabricated on a CNT network film with a Y2O3 gate dielectric to investigate electrically active traps near the interface. The results showed that postdeposition annealing processes could effectively lower the interface trap density and improve the performance of CNT film FETs.
ACS APPLIED ELECTRONIC MATERIALS
(2023)
Article
Materials Science, Multidisciplinary
Eun Seo Jo, You Seung Rim
Summary: We conducted research to create reverse synapse plasticity using metal oxide semiconductor-based field-effect transistors. By adjusting the thickness of the Ga2O3 trapping layers, we examined changes in roughness and density and confirmed the variations and mechanisms of synaptic behaviors in relation to the properties of Ga2O3. The control of charge traps as functions of pulse time, input voltage, and initialization is crucial for achieving optimal device conditions.
MATERIALS TODAY PHYSICS
(2023)
Review
Chemistry, Multidisciplinary
Yao Ni, Yongfei Wang, Wentao Xu
Summary: FTSM, a key component in flexible electronics, utilizes floating-gate, charge-trap, and ferroelectric mechanisms for nonvolatile information storage, and can be operated by optical inputs through the introduction of an optical sensory module. Transistor-structured artificial synapse, a special type of FTSM, mimics important functions of biological synapses to achieve brain-inspired memory behaviors and nervous signal transmissions.
Article
Chemistry, Multidisciplinary
Lukius Denny Wiyanto, Bo-Ju You, Li-Jen Chiang, Dong-Lin Yang, Jung-Yao Chen
Summary: In this study, the application of phosphorescent material as a photoactive floating-gate in photomemory and artificial photonic synapse is explored. By manipulating the interfacial area and using a solvent annealing process, a high ON/OFF current ratio and a low programming time are achieved.
ADVANCED FUNCTIONAL MATERIALS
(2022)
Article
Physics, Applied
Dongsu Kim, Chong-Myeong Song, Su Jin Heo, Goeun Pyo, Dongha Kim, Ji Hwan Lee, Kyung-Ho Park, Shinbuhm Lee, Hyuk-Jun Kwon, Jae Eun Jang
Summary: To enhance the performance of nonvolatile charge trap flash memory devices, we proposed an in situ Hf0.5Zr0.5O2 (HZO)/HfO2/Al2O3 stacked structure compatible with Si and based on all atomic layer deposition. The stable charge trap operation is achieved through appropriate bandgap difference between Al2O3 and HfO2. The HZO as a blocking layer improves the memory performance by its specific polarization effect, exhibiting high polarization characteristics and good retention capability, fast response times, and strong durability.
APPLIED PHYSICS LETTERS
(2023)
Article
Nanoscience & Nanotechnology
Po-Cheng Tsai, Coung-Ru Yan, Shoou-Jinn Chang, Shu-Wei Chang, Shih-Yen Lin
Summary: We fabricated top-gate transistors on MoS2 with different layer thicknesses in the source and drain regions using atomic layer etching. The transistor exhibited high and low levels of drain current under forward and reverse gate bias, respectively, at zero gate voltage due to the presence of ALE. The hysteresis loop on the transfer curve indicated the existence of two distinct charge states within a certain range of gate bias, and a long retention time of the charge was observed.
Article
Engineering, Electrical & Electronic
Jui-Sheng Wu, Chih-Chieh Lee, Chia-Hsun Wu, Min-Lu Kao, You-Chen Weng, Chih-Yi Yang, Quang Ho Luc, Ching-Ting Lee, Daisuke Ueda, Edward Yi Chang
Summary: A high-performance E-mode hybrid ferroelectric charge storage gate (FEG) GaN HEMT with an innovative source-connected field plate (SCFP) structure is reported for the first time. The optimized E-mode FEG-HEMT demonstrates improved current performance and reduced V-th shift, showing potential for advanced power electronic applications.
IEEE ELECTRON DEVICE LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Joon Pyo Kim, Seong Kwang Kim, Seohak Park, Song-hyeon Kuk, Taeyoon Kim, Bong Ho Kim, Seong-Hun Ahn, Yong-Hoon Cho, YeonJoo Jeong, Sung-Yool Choi, Sanghyeon Kim
Summary: The advent of big data has created a need for power-efficient computing beyond the capabilities of the Von Neumann architecture. Inspired by the human brain, neuromorphic computing has the potential to greatly reduce power consumption through matrix multiplication, but current synaptic devices often suffer from limited linearity and symmetry without the use of incremental step pulse programming (ISPP). In this study, we successfully demonstrated a charge-trap flash (CTF)-based synaptic transistor using a trap-level engineered Al2O3/Ta2O5/Al2O3 gate stack for efficient neuromorphic computing. By precisely controlling the conductance with a precision of more than 6 bits, we achieved highly linear and symmetric modulation of conductance using short and low-voltage pulses, resulting in low power consumption and high reliability. Additionally, we achieved high learning accuracy in training 60,000 MNIST images.
Article
Chemistry, Multidisciplinary
Taeho Kim, Giuk Kim, Young Kyu Lee, Dong Han Ko, Junghyeon Hwang, Sangho Lee, Hunbeom Shin, Yeongseok Jeong, Seong-Ook Jung, Sanghun Jeon
Summary: Flash memory is a promising option for in-memory computing due to its mature technology and characteristics. However, the existing flash memory still suffers from low energy efficiency. To address this issue, this paper proposes a novel architecture for in-memory computing based on negative capacitance flash memory, successfully demonstrating high energy efficiency and throughput in in-memory computing.
ADVANCED FUNCTIONAL MATERIALS
(2023)
Review
Chemistry, Multidisciplinary
Xiaodong Yan, Justin H. Qian, Vinod K. Sangwan, Mark C. Hersam
Summary: The increasing importance of artificial intelligence has led to the development of neuromorphic circuits that aim to replicate the energy-efficient information processing of the brain. This review provides a conceptual overview of memtransistors in the context of neuromorphic circuits and surveys recent progress in this field. The different materials systems and device architectures are classified based on their control and tunability of synaptic behavior, with a focus on nanomaterials and their unique properties. Strategies for wafer-scale integration and materials challenges for practical neuromorphic circuits are also discussed.
ADVANCED MATERIALS
(2022)
Article
Gastroenterology & Hepatology
Cheng Kong, Lei Liang, Guang Liu, Lutao Du, Yongzhi Yang, Jianqiang Liu, Debing Shi, Xinxiang Li, Yanlei Ma
Summary: This study investigated the interactions between gut microbiome, metabolites, and microbial enzymes in early-onset colorectal cancer (EO-CRC) patients. The results showed distinct associations between microbiome and metabolome in EO-CRC compared to late-onset CRC (LO-CRC). The study identified potential biomarkers for EO-CRC and achieved a powerful classification performance for distinguishing EO-CRC from controls. This research provides valuable insights into the pathogenesis of EO-CRC and highlights the potential of microbiome-derived biomarkers for non-invasive detection.
Article
Engineering, Civil
Haoran Chen, Xuedong Yan, Xiaobing Liu, Tao Ma
Summary: With the rapid development of internet technologies and shared mobility services, online ridesharing services have become popular worldwide. This study compares the operational performance of two major online ridesharing modes, ridesplitting and carpooling, using actual operating data provided by DiDi Chuxing. The findings indicate that ridesplitting has lower fuel-saving and distance-saving ratios compared to carpooling, and online ridesharing is not considered fuel-saving in terms of transportation system's fuel economy.
Article
Information Science & Library Science
Pengzhen Yin, Chuang Wang, Liang Liang
Summary: This study examines the antecedents (i.e. characteristics of MICT) and outcomes (i.e. employee affective and cognitive well-being) of routine MICT use in the remote work context. The findings show that routine MICT use increases employee affective well-being, such as job satisfaction, and mitigates cognitive well-being issues, such as technology overload. The study also highlights the mediation effects of routine MICT use on the relationship between its characteristics and employee well-being.
INFORMATION TECHNOLOGY & PEOPLE
(2023)
Article
Chemistry, Physical
Zengqi Lu, Xiaolong Fu, Jiamao Li, Jingwei Hou, Guangming Ran, Chengjian Xiao, Xiaolin Wang
Summary: A hydrophobic microscopic reaction environment was constructed through the modification of mesoporous silica, which helped improve the catalytic activity of the LPCE reaction. The Pt@SBA-15-tetramethyldisilazane catalyst, prepared by modifying the SBA-15 carrier and loading metal Pt, exhibited a superhydrophobic structure with a water contact angle of 158 degrees. This structure enhanced the catalytic performance and prevented catalyst deactivation. Experimental results showed that the catalyst had good catalytic activity in tritium water and maintained high activity after 30 days.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
(2023)
Article
Chemistry, Organic
Mao-Lin Yang, Hao-Ran Chen, Long Zhao, Ming-Wu Ding
Summary: A new efficient synthesis method for the preparation of 6,12-dihydro-5H-quinazolino[3,2-a]quinazolin-5-ones has been developed. This method involves sequential Ugi/Staudinger/aza-Wittig/addition/nucleophilic acyl substitution reactions and provides a domino and effective strategy for the preparation of various substituted quinazolino[3,2-a]quinazolin-5-ones under mild reaction conditions.
SYNTHESIS-STUTTGART
(2023)
Article
Automation & Control Systems
Huiming Li, Hao Chen, Xiangke Wang
Summary: This paper investigates the problem of collision-free leader-follower formation generation and tracking of multiple fixed-wing unmanned aerial vehicles (UAVs). A novel control law based on physicomimetics approach is proposed to integrate formation generation, formation tracking, and collision avoidance. The artificial forces driven by control laws imitating physical forces are used to achieve desired collaborative behaviors and obstacle avoidance naturally. Speed constraints are also considered and modified using a saturation function. Numerical simulations and experiments are provided to verify the effectiveness of the proposed control scheme.
ASIAN JOURNAL OF CONTROL
(2023)
Article
Engineering, Environmental
Long Liang, Chunmin Zhang, Shaolei Zhao, Baozhong Liu, Limin Wang, Fei Liang
Summary: Designing efficient catalysts is a crucial challenge for practical applications of high-capacity hydride in fuel-cell-based hydrogen economy. In this study, platinum-functionalized Ti3C2 material with an accordion-like structure, interlayer, and surface-dispersed nanoparticles was synthesized. The catalyst, Ti3C2@Pt, reduced the initial dehydrogenation temperature of high-density hydride AlH3 by 50% to 62 °C, comparable to commercial AlH3. Moreover, it exhibited high hydrogen supplying performance and retention ratio, achieving 9.3 wt% and 98% respectively, surpassing previously reported catalysts. The exceptional dehydrogenation performance of the material makes it a practical candidate for mobile device applications with the aid of high-efficiency catalysts.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Engineering, Environmental
Qiang Liu, Youjin Gong, Boyu Liu, Shunshun Xiong, Hui-Min Wen, Xiaolin Wang
Summary: In this study, an ultra-microporous alkyl Cu-based MOF-11 was developed for highly selective adsorption of xenon. The unique pore system of MOF-11 not only enables strong binding affinity with xenon, but also allows for dense packing of xenon molecules. MOF-11 demonstrates record-high xenon storage density, uptake, and selectivity, making it a promising candidate for xenon separation and capture.
CHEMICAL ENGINEERING JOURNAL
(2023)
Article
Rheumatology
Haoran Chen, Huarui Liu, Wenting Lyu, Yin Liu, Mei Huang, Yingwei Zhang, Yuying Qiu, Yonglong Xiao, Hourong Cai, Jinghong Dai
Summary: This study retrospectively analyzed the clinical characteristics and risk factors of clinical recurrence in interstitial lung disease related to antisynthetase syndrome (ARS-ILD). Recurrence of ARS-ILD was common during medication intensity reduction, and age, lactate dehydrogenase (LDH), medication tapering duration, and discontinuation were identified as risk factors for recurrence.
CLINICAL RHEUMATOLOGY
(2023)
Article
Automation & Control Systems
Yuanmao Ye, Yongbin Zhang, Xiaolin Wang, Ka-Wai Eric Cheng
Summary: This article presents a new type of step-up multilevel inverter (MLI) using a front-side quasi-Z-source unit, which effectively limits the charging current variation and enhances the total voltage gain.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Yuanmao Ye, Minhao Chen, Xiaolin Wang, Lingling Cao
Summary: This article introduces a new boost-type common-ground photovoltaic (PV) inverter, which solves the problems of inrush charging current, input current quality, and boost capability by inserting a quasi-Z-source (qZS) unit into an SC-based common-ground inverter, and is experimentally verified.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Article
Engineering, Electrical & Electronic
Jianqiang Luo, Fei Teng, Siqi Bu, Zhongda Chu, Ning Tong, Anbo Meng, Ling Yang, Xiaolin Wang
Summary: This paper proposes a solution to address the traditional operational constraint issue in power systems considering converter-driven stability and elaborates on a power sensitivity-based power dispatch method to enhance stability margin and update operational constraint solutions.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2023)
Review
Chemistry, Multidisciplinary
Hui-Ying Tan, Jiali Wang, Sheng-Chih Lin, Tsung-Rong Kuo, Hao Ming Chen
Summary: Single-atom catalysts (SACs) are promising electrocatalysts for energy conversion and storage due to their efficient atom utilization and unique electronic properties. The local coordination structures of single metal centers play a significant role in catalytic performances, and understanding the dynamic changes of SACs during reactions is crucial for improving catalytic activity.
ADVANCED MATERIALS INTERFACES
(2023)
Article
Gastroenterology & Hepatology
Xiaoduan Zhuang, Shaoheng Zhang, Guiquan Chen, Zongqi Luo, Huiqin Hu, Wenfeng Huang, Yu Guo, Yongwen Ouyang, Liang Peng, Qing Qing, Huiting Chen, Bingsheng Li, Jie Chen, Xinying Wang
Summary: This study aimed to explore the unsatisfactory histologically complete resection (CR) rate of small rectal neuroendocrine tumors (RNETs) and its associated risk factors and clinical outcomes. The study found that polypectomy, a central depression, and treatment in the early period were risk factors for incomplete resection (IR). Further analysis revealed that an atypical hyperemic appearance and treatment in the early period were significant predisposing factors for inappropriate choice of polypectomy.
GASTROENTEROLOGY REPORT
(2023)
Article
Automation & Control Systems
Zhongjing Yu, Gangyi Zhang, Jingyu Chen, Haoran Chen, Duo Zhang, Qinli Yang, Junming Shao
Summary: This paper proposes a noise-resistant graph embedding method, called NGE, which leverages subspace clustering information to capture community structure and reinforce the relationship between topology and attributes. Experimental results demonstrate the superiority of this method in tasks such as community detection, link prediction, and node classification.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
