Results 71 to 80 of about 2,786 (294)

2D Halide Perovskites for High‐Performance Resistive Switching Memory and Artificial Synapse Applications

Advanced Science
Metal halide perovskites (MHPs) are considered as promising candidates in the application of nonvolatile high‐density, low‐cost resistive switching (RS) memories and artificial synapses, resulting from their excellent electronic and optoelectronic ...
Bixin Li, Fei Xia, Bin Du, Shiyang Zhang, Lan Xu, Qiong Su, Dingke Zhang, Junliang Yang   +7 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

A BaTiO3-based flexible ferroelectric capacitor for non-volatile memories

Journal of Materiomics
BaTiO3 (BTO) ferroelectric films, which are renowned for their lead-free compositions, superior stability, and absence of a wake-up effect, are promising candidate materials in the field of non-volatile memories.
Xingpeng Liu, Chunshu Wei, Tangyou Sun, Fabi Zhang, Haiou Li, Linsheng Liu, Ying Peng, Hezhang Li, Min Hong   +8 more
doaj   +1 more source

A CMOS-Compatible Poly-Si Nanowire Device with Hybrid Sensor/Memory Characteristics for System-on-Chip Applications

Sensors, 2012
This paper reports a versatile nano-sensor technology using “top-down” poly-silicon nanowire field-effect transistors (FETs) in the conventional Complementary Metal-Oxide Semiconductor (CMOS)-compatible semiconductor process.
Chia-Hua Ho, Fu-Liang Yang, Chien-Chao Huang, Jian-Tai Qiu, Jim-Tong Horng, Chao-Hsin Chien, Tsung-Fan Hsieh, Hao-Yu Chen, Chia-Yi Lin, Min-Cheng Chen   +9 more
doaj   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Device Variation Effects on Neural Network Inference Accuracy in Analog In‐Memory Computing Systems

Advanced Intelligent Systems, 2022
In analog in‐memory computing systems based on nonvolatile memories such as resistive random‐access memory (RRAM), neural network models are often trained offline and then the weights are programmed onto memory devices as conductance values.
Qiwen Wang, Yongmo Park, Wei D. Lu
doaj   +1 more source

Ultrahigh resolution of lead zirconate titanate 30/70 domains as imaged by piezoforce microscopy. [PDF]

, 2002
Piezoforce microscopy (PFM) has been used to determine the domain structure of lead zirconate titanate (PZT) (30/70) on an indium tin oxide (ITO)/glass substrate with a TiO2 boundary layer.
Dunn, Steve, Dunn, S, Shaw, Christopher P., Huang, Z, Whatmore, Roger W., Huang, Zhaorong, Whatmore, RW, Shaw, CP   +7 more
core   +1 more source

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

Recent Advancements in Emerging Neuromorphic Device Technologies

Advanced Intelligent Systems, 2020
The explosive growth of data and information has motivated technological developments in computing systems that utilize them for efficiently discovering patterns and gaining relevant insights.
Jiyong Woo, Jeong Hun Kim, Jong‐Pil Im, Seung Eon Moon   +3 more
doaj   +1 more source

Study of Ge-Sb-Te Superlattice Structure Based on Topological Descriptors

Journal of Mathematics, 2022
Ge-Sb-Te superlattice is a new electronic material that is capable of storing nonvolatile phase-change memories with very low energy consumption. Topological descriptors are numerical values given to molecular structures that may be used to predict ...
Xiujun Zhang, Muhammad Naeem, Abdul Rauf, Adnan Aslam, Zafar Iqbal, Abudulai Issa   +5 more
doaj   +1 more source