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| 1 | Progress in and prospects for electrical insulating materials显示文摘The performance of electrical equipment and devices is determined to a great extent by the properties of their insulating materials.In power systems and electrical devices,insulating materials have to work in extreme circumstances that can include high temperature differences,intense radiation,and strong electric fields.Such conditions demand high-quality insulating materials with superior electrical,thermal,and mechanical properties as well as resilience to other environmental stresses.This study focuses on advances in insulating materials since the early 20th century and reviews the many developments in their properties and applications,including electric breakdown strength,thermal conductivity,temperature resistance,corona resistance,and specific energy storage in dielectrics.Some research progress on other properties is also covered,such as non-linearity and radiation resistance.Investigations into the properties of insulating materials can greatly assist in understanding their interface effects and composite structures,which in turn is helpful for discovering methods to improve the performance of electrical devices.Future directions for research are proposed to guide new investigations and support the development of even better insulating materials. | Shengtao Li Shihu Yu Yang Feng | 2016 | High Voltage2016，1，3： | 8 |
| 2 | Spectroscopic characterization of chain-to-ring structural evolution in platinum carbide clusters显示文摘Metal carbides play an important role in catalysis and functional materials.However,the structural characterization of metal carbide clusters has been proven to be a challenging experimental target due to the difficulty in size selection.Here we use the size-specific photoelectron velocity-map imaging spectroscopy to study the structures and properties of platinum carbide clusters.Quantum chemical calculations are carried out to identify the structures and to assign the experimental spectra.The results indicate that the cluster size of the chain-to-ring structural evolution for the PtC_(n)^(-)anions occurs at n=14,whereas that for the PtC_(n) neutrals at n=10,revealing a significant effect of charge on the structures of metal carbides.The greatest importance of these building blocks is the strong preference of the Pt atom to expose in the outer side of the chain or ring,exhibiting the active sites for catalyzing potential reactions.These findings provide unique spectroscopic snapshots for the formation and growth of platinum carbide clusters and have important implications in the development of related single-atom catalysts with isolated metal atoms dispersed on supports. | Yu Zhang Shihu Du Zhi Zhao Haiyan Han Gang Li Jinghan Zou Hua Xie Ling Jiang | 2023 | Journal of Energy Chemistry2023，，2： | 0 |
| 3 | Biological Sequence Classification:A Review on Data and General Methods显示文摘With the rapid development of biotechnology,the number of biological sequences has grown exponentially.The continuous expansion of biological sequence data promotes the application of machine learning in biological sequences to construct predictive models for mining biological sequence information.There are many branches of biological sequence classification research.In this review,we mainly focus on the function and modification classification of biological sequences based on machine learning.Sequence-based prediction and analysis are the basic tasks to understand the biological functions of DNA,RNA,proteins,and peptides.However,there are hundreds of classification models developed for biological sequences,and the quite varied specific methods seem dizzying at first glance.Here,we aim to establish a long-term support website(http://lab.malab.cn/~acy/BioseqData/home.html),which provides readers with detailed information on the classification method and download links to relevant datasets.We briefly introduce the steps to build an effective model framework for biological sequence data.In addition,a brief introduction to single-cell sequencing data analysis methods and applications in biology is also included.Finally,we discuss the current challenges and future perspectives of biological sequence classification research. | Chunyan Ao Shihu Jiao Yansu Wang Liang Yu Quan Zou | 2023 | Research2023，，3： | 0 |
| 4 | Tracking,erosion and thermal distribution of micro-AlN+nano-SiO_(2) co-filled silicone rubber for high-voltage outdoor insulation显示文摘Thermal depolymerisation induced tracking and erosion of polymeric insulators is one of the key insulation failure modes and this process adversely affects the reliability of power delivery networks.This study reports the tracking,erosion and thermal distribution of micron-AlN and micron-AlN+nano-SiO_(2)co-filled silicone rubber composites.A tracking-erosion model is presented to explain how the co-filled set of particles directly affects such mechanisms.Aluminium nitride(AlN:5-10μm)and silica(SiO_(2):20 nm)particles were procured for fabricating test samples.The inclined plane test according to IEC 60587 was carried out using tracking voltage method 2 with an initial applied voltage of 3 kV and a ramping rate of 0.25 kV/h over the duration of 240 min.Measurement results show co-filled composites exhibit significantly lower physical tracking and erosion as compared to micron-AlN filled composites.Thermal accumulation and average leakage current in co-filled composites are found noticeably lower than micron-filled counterparts.Moreover,the increased surface area of the combined co-filled particles in the composites provides better scattering and reduce secondary electron collision.This may impede the release of high energy causing thermal degradation. | Muhammad Tariq Nazir Bao Toan Phung Shihu Yu Yuanyuan Zhang Shengtao Li | 2018 | High Voltage2018，3，4： | 0 |
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