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| 1 | Fe5C2 nanoparticles as low-cost HER electrocatalyst:the importance of Co substitution显示文摘Constructing and understanding the doping effect of secondary metal in transition metal carbide(TMC)catalysts is pivotal for the design of low-cost hydrogen evolution reaction(HER) electrocatalysts. In this work, we developed a wet-chemistry strategy for synthesizing Co-modified Fe_5C_2 nanoparticles((Fe_(1-x)Cox)_5C_2 NPs) as highly active HER electrocatalysts in basic solution. The structure of(Fe_(1-x)Cox)_5C_2 NPs was characterized by X-ray diffraction(XRD), extended X-ray absorption fine structure spectra(EXAFS) and scanning/transmission electron microscopy(S/TEM), indicating that the isomorphous substitution of cobalt in the lattice of Fe_5C_2.(Fe_(0.75) Co_(0.25))_5C_2 exhibited the best HER activity(174 mV for j = -10 mA/cm^2). Computational calculation results indicate that Co provides the most active site for HER. X-ray adsorption spectra(XAS) studies further suggested that the electron transfer in Fe–C bonds are enhanced by the substitution of Co, which modulates the hydrogen adsorption on the adjacent electronic-enriched carbon, and therefore promotes HER activity. Our results affirm the design of lowcost bimetallic TMCs based HER catalysts. | Siwei Li Pengju Ren Ce Yang Xi Liu Zhen Yin Weizhen Li Hanjun Yang Jian Li Xiaoping Wang Yi Wang Ruochen Cao Lili Lin Siyu Yao Xiaodong Wen Ding Ma | 2018 | Science Bulletin2018，63，20： | 6 |
| 2 | 近年中国北方草地变绿受降水增加的驱动显示文摘中国北方的暖湿化是近期的热点话题,然而其对植被生长的影响仍不清楚。本研究基于长时间序列(1982–2018年)数据,研究了归一化植被指数(NDVI)的时间动态及其气候驱动因子之间的关系,以探索近年来气候的暖湿化是否会导致该区植被变绿。我们采用分段回归探测了NDVI的变化趋势是否存在转变点,用Pearson相关分析描述了植被指数与气候因子的关系。最后,采用逐步多元回归方法研究了气候因子对NDVI时间变化的贡献率。研究结果表明,NDVI时间变化趋势的转变点出现在2008年,GIMMS NDVI在1982–2008年略有增加,上升速率为0.00022 yr?1,在2008–2015年上升速率达到0.002 yr?1,MODIS NDVI在2008–2018年上升速率为0.0018 yr?1。降水是NDVI变化的主要驱动因子,气温和饱和水汽压差(VPD)对NDVI的变化影响较小。总体看来,NDVI时间序列变化趋势存在转变点,并且近期气候的暖湿化主导了中国北方草地植被变绿,这为今后更好地预测该地区气候变化下的植被覆盖变化提供了依据。 | Kai Di Zhongmin Hu Mei Wang Ruochen Cao Minqi Liang Genan Wu Ruru Chen Guangcun Hao Yaolong Zhao | 2021 | Journal of Plant Ecology2021，14，5： | 2 |
| 3 | Atomically dispersed lr/α-MoC catalyst with high metal loading and thermal stability for water-promoted hydrogenation reaction显示文摘Synthesis of atomically dispersed catalysts with high metal loading and thermal stability is challenging but particularly valuable for industrial application in heterogeneous catalysis.Here,we report a facile synthesis of a thermally stable atomically dispersed Ir/α-MoC catalyst with metal loading as high as 4 wt%,an unusually high value for carbide supported metal catalysts.The strong interaction between Ir and theα-MoC substrate enables high dispersion of Ir on the α-MoC surface,and modulates the electronic structure of the supported Ir species.Using quinoline hydrogenation as a model reaction,we demonstrate that this atomically dispersed Ir/α-MoC catalyst exhibits remarkable reactivity,selectivity and stability,for which the presence of high-density isolated Ir atoms is the key to achieving high metal-normalized activity and mass-specific activity.We also show that the water-promoted quinoline hydrogenation mechanism is preferred over the Ir/α-MoC,and contributes to high sele ctivity towards 1,2,3,4-tetrahydroquinoline.The present work demonstrates a new strategy in constructing a high-loading atomically dispersed catalyst for the hydrogenation reaction. | Siwei Li Ruochen Cao Mingquan Xu Yuchen Deng Lili Lin Siyu Yao Xuan Liang Mi Peng Zirui Gao Yuzhen Ge Jin-Xun Liu Wei-Xue Li Wu Zhou Ding Ma | 2022 | National Science Review2022，9，1： | 0 |
| 4 | Uncertainty-Aware Physical Simulation of Neural Radiance Fields for Fluids显示文摘This paper presents a novel framework aimed at quantifying uncertainties associated with the 3D reconstruction of smoke from2Dimages.This approach reconstructs color and density fields from 2D images using Neural Radiance Field(NeRF)and improves image quality using frequency regularization.The NeRF model is obtained via joint training ofmultiple artificial neural networks,whereby the expectation and standard deviation of density fields and RGB values can be evaluated for each pixel.In addition,customized physics-informed neural network(PINN)with residual blocks and two-layer activation functions are utilized to input the density fields of the NeRF into Navier-Stokes equations and convection-diffusion equations to reconstruct the velocity field.The velocity uncertainties are also evaluated through ensemble learning.The effectiveness of the proposed algorithm is demonstrated through numerical examples.The presentmethod is an important step towards downstream tasks such as reliability analysis and robust optimization in engineering design. | Haojie Lian Jiaqi Wang Leilei Chen Shengze Li Ruochen Cao Qingyuan Hu Peiyun Zhao | 2024 | Computer Modeling in Engineering & Sciences2024，140，7： | 0 |
| 5 | Examining the use of narrative constructs in data videos显示文摘Data videos are a highly impactful method of communication and are becoming a prevalent medium for communicating information.While the majority of current research focuses on the cinematic aspects of data videos,very little is known about the narrative methodologies involved.This paper presents our insights derived from an initial exploration of this area.We present a taxonomy based on the analysis of 70 existing data videos examining their narrative and visual approaches.We propose that our taxonomy can be used to explain the characteristics or design of data videos.Applying this taxonomy,we present our observations,including the trend of popular technologies applied in current data videos,the under-utilization of promising methods,and highlight research opportunities in the field. | Ruochen Cao Subrata Dey Andrew Cunningham James Walsh Ross T.Smith Joanne E.Zucco Bruce H.Thomas | 2020 | Visual Informatics2020，4，1： | 0 |
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