| 3 | Surface modification by graphene oxide:An efficient strategy to improve the performance of activated carbon based supercapacitors显示文摘We demonstrate an efficient and cost-effective strategy to improve electrochemical properties of AC based electrode materials. A series of graphene oxide(GO)-modified activated carbon(AC) composites(GO@ACs) have been prepared as electrode materials for supercapacitors(SCs). In GO@ACs, AC particles anchored on the surface of GO sheets which were synchronously reduced during charge/discharge process, and formed a 3D-conductive network. Electrochemical analyses revealed that 2.5 wt% GO@AC,which exhibited improved electrical conductivity and high specific capacitance at large current density in organic electrolyte, is a promising electrode material for high-performance SCs. At 6 A/g, the specific capacitance of 2.5 wt% GO@AC increased by 249.5% in comparison with that of AC. | Weishi Du Yaokang Lv Hongliang Lu Zaihua Chen Dominic S.Wright Cheng Zhang | 2017 | Chinese Chemical Letters2017，28，12： | 1 |
| 4 | Prediction of ENSO using multivariable deep learning显示文摘本文基于残差神经网络和观测数据构建了一套深度学习多因子预报测模型,以改进厄尔尼诺-南方涛动(ENSO)的预报.该模型基于最大信息系数进行因子时空特征提取,并根据泰勒图的评估标准可自动确定关键预报因子进行预报.该模型在超前8个月以内的预报性能要优于当前传统的业务预报模式.2011–2018年间,该模型的预报性能优于多模式集成预报的结果.在超前6个月预报时效上,模型预报相关性可达0.82,标准化后的均方根误差仅为0.58°C,多模式集成预报的相关性和标准化后的均方根误差分别为0.70和0.73°C.该模型春季预报障碍问题有所缓解,并且自动选取的关键预报因子可用于解释热带和副热带热动力过程对于ENSO变化的影响. | Yue Chen Xiaomeng Huang Jing-Jia Luo Yanluan Lin Jonathon S.Wright Youyu Lu Xingrong Chen Hua Jiang Pengfei Lin | 2023 | Atmospheric and Oceanic Science Letters2023，16，4： | 0 |
| 6 | 踏足新领域显示文摘大学毕业后,我与许多电气工程师'新手'一样,进入硅谷工作。在苹果公司工作期间,我一直梦想着要为自己心仪的产品做研发。然而几年后,我开始觉得好像缺少了点什么。我渴望更好地了解计算机领域之外的世界,渴望寻找新的探索领域。对于冒险进入一个陌生的领域,我有些顾虑,但与此同时,我对投身于一个自己一无所知的学科的前景感到兴奋。 | Erik S.Wright 周彧 | 2019 | 科学新闻2019，0，5： | 0 |
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