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Akademický článek

Scenario construction and vulnerability assessment of natural hazards-triggered power grid accidents

Autor: Yuxin Sun, Jiansong Wu, Jun Zhang, Yuwei Xiong, Xiaohan Liu, Yiping Bai

Publikováno v: Journal of Safety Science and Resilience, Vol 5, Iss 4, Pp 498-511 (2024)

In light of escalating urbanization trends and climate change impacts worldwide, the susceptibility of urban power grids to natural disasters has become an overarching global concern. Prior research has predominantly concentrated on singular calamiti

Externí odkaz: https://doaj.org/article/0c9bc820062d4c34b72aae5a8d65ddb3

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Akademický článek

A General Strategy for Rapidly Optimizing Wearable Resistive Pressure Sensors

Autor: Lei Wen, Meng Nie, Jinwen Fan, Pengfan Chen, Bowei Li, Shuning Chen, Yuwei Xiong, Qian Zhang, Kuibo Yin, Litao Sun

Publikováno v: Advanced Electronic Materials, Vol 9, Iss 8, Pp n/a-n/a (2023)

Abstract Due to the complicated relationship between wearable electronics performance and various parameters, months even years are needed to obtain a desired sensor by random and time‐consuming trial‐and‐error methods. Herein, a general analyt

Externí odkaz: https://doaj.org/article/99c2ed810c5b428381665acda3336ece

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Akademický článek

Simulating Synaptic Behaviors through Frequency Modulation in a Capacitor–Memristor Circuit

Autor: Kuibo Yin, Jingcang Li, Yuwei Xiong, Mingyun Zhu, Zhiyuan Tan, Zhanrui Jin

Publikováno v: Micromachines, Vol 14, Iss 11, p 2014 (2023)

Memristors, known for their adjustable and non-volatile resistance, offer a promising avenue for emulating synapses. However, achieving pulse frequency-dependent synaptic plasticity in memristors or memristive systems necessitates further exploration

Externí odkaz: https://doaj.org/article/6ea3bc6860424430b3930a056689bf3b

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Akademický článek

Wearable multimode sensor with a seamless integrated structure for recognition of different joint motion states with the assistance of a deep learning algorithm

Autor: Lei Wen, Meng Nie, Pengfan Chen, Yu-na Zhao, Jingcheng Shen, Chongqing Wang, Yuwei Xiong, Kuibo Yin, Litao Sun

Publikováno v: Microsystems & Nanoengineering, Vol 8, Iss 1, Pp 1-14 (2022)

Abstract Accurate motion feature extraction and recognition provide critical information for many scientific problems. Herein, a new paradigm for a wearable seamless multimode sensor with the ability to decouple pressure and strain stimuli and recogn

Externí odkaz: https://doaj.org/article/9181272e32ad415faaad0e2ee3bf6938

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Akademický článek

Research Progress on Metal–Organic Frameworks by Advanced Transmission Electron Microscopy

Autor: Anqi Zheng, Kuibo Yin, Rui Pan, Mingyun Zhu, Yuwei Xiong, Litao Sun

Publikováno v: Nanomaterials, Vol 13, Iss 11, p 1742 (2023)

Metal–organic frameworks (MOFs), composed of metal nodes and inorganic linkers, are promising for a wide range of applications due to their unique periodic frameworks. Understanding structure–activity relationships can facilitate the development

Externí odkaz: https://doaj.org/article/a9613865687b4c66a3f505663d7ab56c

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Akademický článek

A novel FeNi-based bulk metallic glass with high notch toughness over 70 MPa m1/2 combined with excellent soft magnetic properties

Autor: Jing Zhou, Qianqian Wang, Xidong Hui, Qiaoshi Zeng, Yuwei Xiong, Kuibo Yin, Baoan Sun, Litao Sun, Mihai Stoica, Weihua Wang, Baolong Shen

Publikováno v: Materials & Design, Vol 191, Iss , Pp - (2020)

A novel Fe39Ni39B12.82Si2.75Nb2.3P4.13 bulk metallic glass (BMG) with high notch toughness of 72.3 MPa m1/2, large plastic strain of 9.8%, high yield strength of 2930 MPa, and a large critical diameter of 2.5 mm was successfully developed. This BMG a

Externí odkaz: https://doaj.org/article/fc571cb3eaf944f0a289170a7514e1fc

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