Results 61 to 70 of about 14,437 (267)

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Research status and prospect of comprehensive pipeline transportation system under intelligent multi-network integration

You-qi chuyun
ObjectiveAgainst the strategic backdrop of China’s efforts to build a modern, high-quality comprehensive three-dimensional transportation network and a new energy system, the pipeline transportation system—core to efficient cross-regional transport of ...
Yongtu LIANG, Qi LIAO, Renfu TU, Chunying LIU, Rui QIU, Zhengbing LI, Wei ZHAO, Ning XU   +7 more
doaj   +1 more source

Construction technology of Internet of Things network layer for intelligent pipelines

You-qi chuyun, 2021
With the development and planning of national Industry 4.0, the oil and gas pipelines are developing towards the intelligent construction and operation management. The intelligent pipelines can be realized through the calculation-based judgment and command control, provided that the information on the identification, status, location and environmental ...
openaire   +1 more source

Intelligent Risk Assessment for Pipeline Third-Party Interference

, 2011
In petroleum industry, pipeline is singled out as it is the safest and the most economically viable means of transporting large quantities of oil and natural gas. However, accidents to pipelines because of the third-party interference have been recorded.
Laibin Zhang, Wei Liang, Cunjie Guo, Jinqiu Hu   +3 more
core   +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

AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing

Advanced Materials, EarlyView.
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee, Moon‐Jo Kim, DongEung Kim, Chan Ho Moon, Seojoon Bang, Hyeong Seok Kang, Ju Yeong Gwon, Jong Hwa Seo, Junhyub Jeon, Junhyuk Son, Munwon Lim, Minho Kang, Dong Yun Lee, Donghyun Lim, Jung‐Hoon Park, Gi Doo Cha, Soo‐Hong Lee, Tae‐Sik Jang, Kisuk Yang, Yunho Jeong, Youngho Eom, Hyun‐Do Jung   +21 more
wiley   +1 more source

Advancing Lithium–Oxygen Batteries: Pioneering Cathode Catalyst Innovation and Artificial Intelligence‐Driven Design Paradigms

Advanced Materials, EarlyView.
This review summarizes the principles and challenges of nonaqueous lithium‐oxygen batteries and recent advances in cathode catalysts, including carbon‐based materials, metals, oxides, sulfides, nitrides, carbides, and redox mediators. It highlights emerging design strategies and artificial intelligence‐driven approaches, emphasizing data‐assisted ...
Yuqing Yao, Chongyang Hao, Karol Viviana Mejia‐Centeno, Malik Dilshad Khan, Shang Wang, Longqiu Li, Yanhong Tian, Andreu Cabot, Qing Sun   +8 more
wiley   +1 more source

Data mining and its application in natural gas pipeline network under the context of big data

, 2021
The era of big data has brought about great changes in industry. In order to improve the efficiency, security and automation level of industrial production, it is necessary to find out the hidden rules in the massive data by fully mining and utilizing ...
Dengji ZHOU, Yonghua GUO, Lin ZHANG, Tongsheng XING, Shixi MA   +4 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

Evolution of Broadband Intelligent Speedup Platform to SDN Architecture

Dianxin kexue, 2013
SDN is a new network architecture, which achieves the flexible control of network traffic by separating the network device control plane and data forwarding plane. Broadband intelligent speedup platform was put forward by China Telecom which followed PCC/
Yuyong Jia, Bo Yuan, Xiaoying Huang
doaj   +2 more sources