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您的检索式：作者名="Weicong Gu"
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| 1 | Amorphization activated FeB_(2) porous nanosheets enable efficient electrocatalytic N_(2) fixation显示文摘Designing active,robust and cost-effective catalysts for the nitrogen reduction reaction(NRR) is of paramount significance for sustainable electrochemical NH3 synthesis.Transition-metal diborides(TMB_2)have been recently theoretically predicted to be a new class of potential NRR catalysts,but direct experimental evidence is still lacking.Herein,we present the first experimental demonstration that amorphous FeB_2 porous nanosheets(a-FeB_2 PNSs) could be a highly efficient NRR catalyst,which exhibited an NH3 yield of 39.8 μg h^(-1) mg^(-1)(-0.3 V) and a Faradaic efficiency of 16.7%(-0.2 V),significantly outperforming their crystalline counterpart and most of existing NRR catalysts.First-principle calculations unveiled that the amorphization could induce the upraised d-band center of a-FeB_2 to boost d-2π~* coupling between the active Fe site and ~*N_2 H intermediate,resulting in enhanced ~*N_2 H stabilization and reduced reaction barrier.Out study may facilitate the development and understanding of earth-abundant TMB_2-based catalysts for electrocatalytic N_2 fixation. | Ke Chu Weicong Gu Qingqing Li Yaping Liu Ye Tian Wuming Liu | 2021 | Journal of Energy Chemistry2021，30，2： | 2 |
| 2 | IMU-based motion capture system for rehabilitation applications: A systematic review显示文摘In recent years,the use of inertial measurement unit(IMU)-based motion capture(Mocap)systems in rehabilitation has grown significantly.This paper aimed to provide an overview of current IMUbased Mocap system designs in the field of rehabilitation,explore the specific applications and implementation of these systems,and discuss potential future developments considering sensor limitations.For this review,a systematic literature search was conducted using Scopus,IEEE Xplore,PubMed,and Web of Science from 2013 to 2022.A total of 65 studies were included and analyzed based on their rehabilitation application,target population,and system deployment and measurement.The proportion of rehabilitation assessment,training,and both were 82%,12%,and 6%respectively.The results showed that primary focus of the studies was stroke that was one of the most commonly studied pathological disease.Additionally,general rehabilitation without targeting a specific pathology was also examined widely,with a particular emphasis on gait analysis.The most common sensor configuration for gait analysis was two IMUs measuring spatiotemporal parameters of the lower limb.However,the lack of training applications and upper limb studies could be attributed to the limited battery life and sensor drift.To address this issue,the use of low-power chips and low-consumption transmission pathways was a potential way to extend usage time for long-term training.Furthermore,we suggest the development of a highly integrated multi-modal system with sensor fusion. | Chenyu Gu Weicong Lin Xinyi He Lei Zhang Mingming Zhang | 2023 | Biomimetic Intelligence & Robotics2023，3，2： | 0 |
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