Results 91 to 100 of about 2,489 (207)

MXene‐Based Flexible Memory and Neuromorphic Devices

Small, EarlyView.
The unique two‐dimensional structure, excellent electrical conductivity, and diverse surface groups of MXenes have garnered significant attention. Coupled with their exceptional flexibility, MXene‐based devices hold immense potential for flexible memory and neuromorphic systems. This review comprehensively discusses the fundamentals of flexible devices,
Yan Li, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Yan Yan, Shuangmei Xue, Kui Zhou, Meng Zhang, Yutong Zhang, Qi‐Jun Sun, Yi Liu, Vellaisamy A. L. Roy, Ye Zhou, Su‐Ting Han   +13 more
wiley   +1 more source

Memristors Based on Ferroelectric Cu‐Deficient Copper Indium Thiophosphate for Multilevel Storage and Neuromorphic Computing

Small, EarlyView.
Different from CIPS with threshold switching behaviors, Cu‐deficient CIPS* shows stable non‐volatile digital and analog RS. Owing to the formation of metallic IPS at the LRS, CIPS* memristors demonstrate high ON/OFF ratio and endurance stability, which can be utilized to implement multilevel storage.
Mengdie Li, Yanyan He, Chengyang Wang, Weng Fu Io, Feng Guo, Wenjing Jie, Jianhua Hao   +6 more
wiley   +1 more source

Synthesis of Amorphous‐Crystalline Mixture Boron Nitride for Balanced Resistive Switching Operation

Small, EarlyView.
An amorphous–crystalline mixture BN (acm‐BN) is synthesized through low‐pressure chemical vapor deposition, achieving balanced resistive switching with low SET voltage and stable RESET. High‐resolution transmission electron microscopy reveals that BN films are fully amorphous at 930 °C, a mixed amorphous–crystalline phase is achieved at 990 °C.
Kyung Jin Ahn, Do Kyeong Yun, Mi Hyang Park, Hong Woon Yun, Minh Chien Nguyen, Van Tu Vu, Huamin Li, Pallavi Aggarwal, Woo Jong Yu   +8 more
wiley   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Structure‐Property‐Application Correlations of Early Transition Metal Chalcogenides: A Dichalcogenide‐Centered Perspective

Small, EarlyView.
ETM‐based chalcogenides exhibit rich structural diversity and tunable electronic and catalytic properties. This review critically summarizes structure–property–application relationships in ETM‐based chalcogenides, highlighting recent advances in electronic devices, electrocatalysis, and energy‐related applications, while outlining key challenges and ...
Sachin Jaidka, Aayush Gupta, Daksh Shelly, Yashpreet Kaur, Anushka Garg, Seul‑Yi Lee, Soo‑Jin Park   +6 more
wiley   +1 more source

Emerging 2D Material Prototype Devices Toward Energy‐Efficient and Sustainable Optoelectronics

SusMat, EarlyView.
Driven by the growing demand for efficient data processing in artificial intelligence, fully integrated 2D material All‐in‐One devices that integrate sensing, memory, and computing functions show rapid development. These devices deliver ultra‐low power consumption and high‐speed operation, offering great potential for next‐generation intelligent edge ...
Jiazheng Wang, Decai Ouyang, Na Zhang, Yuan Li, Tianyou Zhai   +4 more
wiley   +1 more source

Multiterminal High‐Voltage Direct Current Projects: A Comprehensive Assessment and Future Prospects

High Voltage, EarlyView.
ABSTRACT Multiterminal high‐voltage direct current (MT‐HVDC) systems are an important part of modern power systems, addressing the need for bulk power delivery and efficient renewable energy integration. This paper provides a comprehensive overview of recent advances in MT‐HVDC technology, including launched projects and ongoing initiatives.
Mohammad Hossein Mousavi, Hassan Moradi, Kumars Rouzbehi, Vijay K. Sood   +3 more
wiley   +1 more source

The Diverse Behaviours of Discharged Degradation at Varied Interfaces of Silicone Gel/Ceramic Substrates Under High‐Frequency Square Wave Voltage

High Voltage, EarlyView.
ABSTRACT Because of the harsh serving conditions of insulated gate bipolar transistor (IGBT) packaged by silicone gel with high voltage and high frequency, it is crucial to reveal the developing characteristics and inhibiting method of discharged degradation at the interface of silicone gel/ceramic substrates.
Chuang Zhang, Xinlu Li, Hongjian Liu, Ruomeng An, Lingqi Guo, Jiaqi Liu, Shihang Wang, Shengtao Li   +7 more
wiley   +1 more source

High Gain Graphene Based Hot Electron Transistor with Record High Saturated Output Current Density

Advanced Electronic Materials
Hot electron transistors (HETs) represent an exciting new device for integration into semiconductor technology, holding the promise of high‐frequency electronics beyond the limits of SiGe bipolar hetero transistors.
Carsten Strobel, Carlos A. Chavarin, Martin Knaut, Sandra Völkel, Matthias Albert, Andre Hiess, Benjamin Max, Christian Wenger, Robert Kirchner, Thomas Mikolajick   +9 more
doaj   +1 more source

Weibull‐Neural Network Framework for Wind Turbine Lifetime Monitoring and Disturbance Identification

Wind Energy, Volume 29, Issue 4, April 2026.
ABSTRACT Wind turbines are vital for sustainable energy, yet their reliability under diverse operational and environmental conditions remains a challenge, often leading to costly failures. This study presents a novel Weibull‐Neural Network Framework to enhance wind turbine lifetime monitoring by estimating reliability (R(t)) and mean residual life (MRL)
Fatemeh Kiadaliry, Sadigh Raissi, Alireza Rashidi Komijan   +2 more
wiley   +1 more source