Article
Materials Science, Multidisciplinary
Liqun Liu, Chang Cai, Zejian Zhang, Shitong Zhang, Jian Deng, Bing Yang, Cheng Gu, Yuguang Ma
Summary: The organic lamellar single crystal reported serves as a versatile optoelectronic material with low threshold energy and high quantum efficiency, showing extraordinary device performance in optical pumping and light-emitting transistors.
ACS MATERIALS LETTERS
(2021)
Article
Chemistry, Physical
Vikash Sharma, Divya Sharma, Ranu Bhatt, Pankaj K. Patro, Gunadhor Singh Okram
Summary: We report on the thermoelectric properties of nickel-doped Ag2-xNixTe nanostructures in a certain temperature range. The material undergoes a metal-insulator transition with increasing nickel doping concentration. The electrical resistivity and Seebeck coefficient show linear relationships with temperature. The material achieves higher thermoelectric coefficient through a sharp decrease in thermal conductivity associated with a structural phase transition.
ACS APPLIED ENERGY MATERIALS
(2022)
Article
Materials Science, Multidisciplinary
Rui Wang, Ralf Moos
Summary: A new method has been developed for measuring the electrical conductivity of semiconductor specimens, especially ceramics at high temperatures, without the need for accurate electrode preparation. The method involves processing an image of the specimen to a 3D model, calculating a form factor with finite element simulation, and deriving the actual conductivity using measured resistance. Experimental results have validated the method within a certain range of conductivity.
JOURNAL OF MATERIALS SCIENCE
(2021)
Article
Materials Science, Ceramics
Marian Kubisztal
Summary: High-entropy ceramic oxide with the spinel structure and chemical composition Mn0.62(2)Fe0.62 (2)Ni0.60(3)Co0.58(2)Zn0.58(3)O4 was prepared using co-precipitation technique and low-temperature sintering process. The electrical conductivity variation in the temperature range of 120 K to 400 K was analyzed using theoretical models. It was found that the material exhibited a high temperature coefficient of resistance and a significant magnetoresistance coefficient.
CERAMICS INTERNATIONAL
(2023)
Article
Chemistry, Analytical
P. M. Desimone, F. Schipani, R. Procaccini, D. A. Mirabella, C. M. Aldao
Summary: The electrical conductance of gas sensors based on metal-oxide semi-conductors follows a power-law response with gas pressure. By observing the exponent γ for different gases, researchers can determine the possible species present at the surface and the reactions that can occur.
SENSORS AND ACTUATORS B-CHEMICAL
(2022)
Article
Multidisciplinary Sciences
Sien Wang, Yue Xiao, Qiyu Chen, Qing Hao
Summary: Nanoporous Si films have potential applications in thermoelectrics and thermal management of devices. Offset nanoslot patterns achieve smaller characteristic lengths and lower thermal conductivity compared to periodic circular pores. Additional reduction in thermal conductivity can be achieved by implanting Ga ions.
Article
Chemistry, Multidisciplinary
Daseob Yoon, Yujeong Lee, Gi-Yeop Kim, Youngho Kang, Si-Young Choi, Junwoo Son
Summary: A simple strategy to increase electrical conductivity in perovskite oxide semiconductors has been proposed through non-stoichiometry-driven metal exsolution, leading to enhanced carrier concentration in reduced films.
ADVANCED FUNCTIONAL MATERIALS
(2021)
Article
Materials Science, Multidisciplinary
Huifan Xiong, Weiwei Mao, Rong Wang, Shuai Liu, Naifu Zhang, Lihui Song, Deren Yang, Xiaodong Pi
Summary: This article reviews the characterization methods of single-crystal silicon carbide (SiC), including elemental analysis, electrical and optical methods. Specifically, elemental analysis introduces the secondary ion mass spectroscopy (SIMS) technique. Electrical methods discuss mature techniques used in the laboratory, such as the Hall effect method and electrical scanning probe techniques. Additionally, optical methods introduce the optical absorption method, Raman spectra analysis, and photoluminescence spectroscopy.
MATERIALS TODAY PHYSICS
(2022)
Article
Chemistry, Multidisciplinary
Zhigang Li, Jiteng Li, Weike Wang, Qijie Yan, Yongrui Zhou, Luping Zhu, Bingqiang Cao, Bingqing Wei
Summary: The discovery of super-semiconductors based on metallic bi-layer shell arrays provides an opportunity to achieve ultra-low-power consumption semiconductor devices. For example, p-n junction diodes based on super-semiconducting nanostructured Ag/Al arrays have achieved near zero-threshold voltage and low power consumption. The high breakdown field of these diodes allows access to ultra-low-power semiconducting transistors, integrated circuits, chips, etc.
ADVANCED MATERIALS
(2023)
Article
Nanoscience & Nanotechnology
J. K. Zhang, Y. Z. Tian, X. Y. Pang, J. H. Wang, J. W. Wang
Summary: This study successfully improved the microstructure and properties of nanocrystalline CuAg materials through intense rolling strain and aging treatment, achieving excellent tensile strength, elongation, and electrical conductivity. The features of grains, Ag precipitates, and short-range ordered structure were characterized by TEM, and the mechanisms for the balanced mechanical and electrical properties were analyzed.
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
(2023)
Article
Thermodynamics
Satyam Saini, Aryan Gupta, Aman Jyoti Mehta, Sumit Pramanik
Summary: Silica extracted from rice husk was successfully used as reinforcement in graphite/aluminium matrix hybrid composites. The composites showed excellent physical, mechanical, and thermal properties, making them suitable for various advanced applications.
JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY
(2022)
Article
Chemistry, Multidisciplinary
Jinyi Zhang, Jing Zuo, Shaonan Xu, Ankun Ju, Wenhua Yuan, Jiupeng Zhang, Cundi Wei
Summary: Conductive powders with low volume resistivity and high thermal conductivity were prepared through acid leaching and coating. The resulting composite material showed improved antistatic properties and mechanical strength, making it suitable for industrial production. The unique material structure contributed to the excellent performance.
JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS
(2022)
Article
Materials Science, Multidisciplinary
Holger Fiedler, Prasanth Gupta, Jerome Leveneur, David R. G. Mitchell, Mitchell Nancarrow, John Kennedy
Summary: We report the ion beam synthesis of buried two-dimensional AlGaN structures with enhanced piezoelectric modulus. The presence of the 2D layers was confirmed by scanning transmission electron microscopy. Alternating planar and buckled 2D III-Nitride layers with a rapid change of polarity of the buckled layer suggest weak interaction between the layers. Our results suggest the potential applications of this material in efficient energy harvesters, communication devices, power devices, and photocatalytic water splitting technologies.
APPLIED MATERIALS TODAY
(2023)
Article
Materials Science, Multidisciplinary
Y. Z. Tian, Y. Yang, S. Y. Peng, X. Y. Pang, S. Li, M. Jiang, H. X. Li, J. W. Wang, G. W. Qin
Summary: In this study, nanostructured Cu-10Fe composites were prepared by heavy cold rolling, and the microstructure evolution and properties of the composites during aging were systematically studied. It was found that the strength and ductility of the composites changed monotonically with increasing aging temperature, while the electrical conductivity initially increased and then decreased. The mechanisms for the superior mechanical and electrical properties were discussed by quantifying the contributions of different microstructural constituents.
MATERIALS CHARACTERIZATION
(2023)
Article
Engineering, Electrical & Electronic
Keijo Jacobs, Mietek Bakowski, Per Ranstad, Hans-Peter Nee
Summary: This article investigates the performance of three differently optimized 10-kV SiC p-i-n diodes in high-power converters and compares them. The results show that using SiC diodes can reduce rectifier losses by 37%, compared to the use of Si diodes. The proportion of switching losses to total losses is low, indicating a higher possible operation frequency for SiC diodes.
IEEE TRANSACTIONS ON POWER ELECTRONICS
(2022)
Article
Engineering, Biomedical
Yanchen Liu, Kun Qian, Shaogang Hu, Kun An, Sheng Xu, Xitong Zhan, J. J. Wang, Rui Guo, Yuancong Wu, Tu-Pei Chen, Qi Yu, Yang Liu
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2020)
Article
Engineering, Electrical & Electronic
Yuancong Wu, Y. H. Liu, Shuang Liu, Q. Yu, T. P. Chen, Y. Liu
ELECTRONICS LETTERS
(2020)
Article
Engineering, Electrical & Electronic
Jianxun Sun, Juan Boon Tan, Tupei Chen
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2020)
Article
Engineering, Electrical & Electronic
Jianxun Sun, Juan Boon Tan, Tupei Chen
IEEE TRANSACTIONS ON ELECTRON DEVICES
(2020)
Article
Computer Science, Artificial Intelligence
G. C. Qiao, S. G. Hu, T. P. Chen, L. M. Rong, N. Ning, Q. Yu, Y. Liu
Article
Engineering, Electrical & Electronic
Rui Guo, YuanCong Wu, ShaoGang Hu, Qi Yu, Tupei Chen, Yang Liu
Summary: This work introduces an LC-VCO based PLL frequency synthesizer with a neural network based loop bandwidth tracking technique, which can maintain a constant loop bandwidth over different operating frequencies.
IEICE ELECTRONICS EXPRESS
(2021)
Article
Materials Science, Multidisciplinary
Yuanbo Li, Jianxun Sun, Teddy Salim, Rongyue Liu, Tupei Chen
Summary: A high-mobility transparent Indium-Gallium-Zinc-Oxide (IGZO) thin-film transistor (TFT) with sputtered AlOx passivation layer was reported, showing improved field-effect mobility, on/off current ratio, and driving current. The formation of an interfacial layer between the IGZO and AlOx layers was crucial in enhancing the electrical performance. Reliability tests, including long-term exposure and positive bias illumination stress, also exhibited improved results.
ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY
(2021)
Article
Physics, Applied
Shuang Liu, Yuancong Wu, Canlong Xiong, Yihe Liu, Jing Yang, Q. Yu, S. G. Hu, T. P. Chen, Y. Liu
Summary: PIM technology enhances the performance of RC systems, demonstrated in this work using a PIM chip platform. Nonlinear dynamic system predictions and recognition tasks were carried out, saving 50% energy and requiring fewer operations compared to traditional RC systems.
APPLIED PHYSICS LETTERS
(2021)
Article
Computer Science, Artificial Intelligence
S. G. Hu, G. C. Qiao, T. P. Chen, Q. Yu, Y. Liu, L. M. Rong
Summary: In this study, a SNN based on STDP for online learning with weight quantization/binarization was developed. The quantized SNN achieved high recognition accuracy on the MNIST dataset with reduced storage requirements and improved computing efficiency. This approach can significantly save hardware costs and provide a trade-off between computational cost and performance.
NEURAL COMPUTING & APPLICATIONS
(2021)
Article
Materials Science, Multidisciplinary
Y. B. Li, J. Zhang, J. X. Sun, T. P. Chen
Summary: This study aims to find a suitable HfO2-based resistive random-access memory (RRAM) structure for large-area applications and successfully inserts an ultrathin Al2O3 layer to achieve stable operations at low current levels.
ECS JOURNAL OF SOLID STATE SCIENCE AND TECHNOLOGY
(2021)
Article
Nanoscience & Nanotechnology
Y. H. Liu, L. Chen, X. W. Li, Y. C. Wu, S. Liu, J. J. Wang, S. G. Hu, Q. Yu, T. P. Chen, Y. Liu
Summary: This study proposes a lightweight automatic epilepsy detection system based on a neuromorphic chip, utilizing a neural network model for high-accuracy detection without the need for prior knowledge. The system shows high classification accuracy in tests and offers the possibility of epilepsy detection in wearable or portable devices.
Article
Multidisciplinary Sciences
Y. A. Liu, L. Chen, X. W. Li, Y. L. Liu, S. G. Hu, Q. Yu, T. P. Chen, Y. Liu
Summary: This paper proposes an advanced encryption standard (AES) cryptosystem based on memristive neural network. The proposed algorithm shows higher security and robustness compared to conventional AES.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Biomedical
Shuang Liu, J. J. Wang, J. T. Zhou, S. G. Hu, Q. Yu, T. P. Chen, Y. Liu
Summary: In this article, a spiking neural network (SNN) based on both SRAM processing-in-memory (PIM) macro and on-chip unsupervised learning with Spike-Time-Dependent Plasticity (STDP) is presented. The co-design of algorithm and hardware improves area and energy efficiency. The proposed macro utilizes charge sharing of capacitors for fully parallel operations and a programmable high-precision PIM threshold generator is designed to achieve low DNL and high linearity. With the combination of the hardware-friendly STDP algorithm, parallel WLs and PBLs, unsupervised learning and MNIST dataset recognition are realized.
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
(2023)
Article
Chemistry, Analytical
Hongzhe Wang, Junjie Wang, Hao Hu, Guo Li, Shaogang Hu, Qi Yu, Zhen Liu, Tupei Chen, Shijie Zhou, Yang Liu
Summary: This paper proposes an RRAM PIM accelerator architecture that does not use ADCs and DACs. Additionally, no additional memory usage is required to avoid the need for a large amount of data transportation in convolution computation. Partial quantization is introduced to reduce the accuracy loss. The proposed architecture can substantially reduce the overall power consumption and accelerate computation. The simulation results show that the image recognition rate for the CNN algorithm can reach 284 frames per second at 50 MHz using this architecture. The accuracy of the partial quantization remains almost unchanged compared to the algorithm without quantization.
Article
Chemistry, Multidisciplinary
Yuanbo Li, Tupei Chen, Xin Ju, Teddy Salim
Summary: This study presents the fabrication of a transparent thin film transistor (TFT) using InGaZnO and TaOx, which exhibits various synaptic behaviors and high responsivity to light, indicating potential applications in neuromorphic systems.