|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Several problems about strain calculation and analysis and correction of related deviation显示文摘There exists many kinds of calculation models of plane and spherical strain fields, but the results of these models are different. The representative models was analyzed, and got some useful conclusions, in which some models are unbiased, some have deviations that can be corrected, some can only be used to compute strain in a uniform medium and can not be extended, and some can be used in the calculation and analysis of continuous strain field as well. Meanwhile, the correction relationship for spherical difference movement (displacement) computed from strain results was given, and the meaning of the non-differential term in spherical strain model was demonstrated. | Yang Guohua Wu Yanqiang Yang Bo Zhan Wei Zhang Fengshuang Han Yueping | 2011 | Geodesy and Geodynamics2011，2，1： | 2 |
| 2 | Vision for energy material design:A roadmap for integrated data-driven modeling显示文摘The application scope and future development directions of machine learning models(supervised learning, transfer learning, and unsupervised learning) that have driven energy material design are discussed. | Zhilong Wang Yanqiang Han Junfei Cai An Chen Jinjin Li | 2022 | Journal of Energy Chemistry2022，31，8： | 2 |
| 3 | An ensemble learning classifier to discover arsenene catalysts with implanted heteroatoms for hydrogen evolution reaction显示文摘Accurate regulation of two-dimensional materials has become an effective strategy to develop a wide range of catalytic applications.The introduction of heterogeneous components has a significant impact on the performance of materials,which makes it difficult to discover and understand the structure-property relationships at the atomic level.Here,we developed a novel and efficient ensemble learning classifier with synthetic minority oversampling technique(SMOTE) to discover all possible arsenene catalysts with implanted heteroatoms for hydrogen evolution reaction(HER).A total of 850 doped arsenenes were collected as a database and 140 modified arsenene materials with different doping atoms and doping sites were identified as promising candidate catalysts for HER,with a machine learning prediction accuracy of 81%.Based on the results of machine learning,we proposed 13 low-cost and easily synthesized two-dimensional Fe-doped arsenene catalytic materials that are expected to contribute to high-efficient HER.The proposed ensemble method achieved high prediction accuracy,but millions of times faster to predict Gibbs free energies and only required a small amount of data.This study indicates that the presented ensemble learning classifier is capable of screening high-efficient catalysts,and can be further extended to predict other two-dimensional catalysts with delicate regulation. | An Chen Junfei Cai Zhilong Wang Yanqiang Han Simin Ye Jinjin Li | 2023 | Journal of Energy Chemistry2023，，3： | 0 |
| 4 | An end-to-end artificial intelligence platform enables real-time assessment of superionic conductors显示文摘Superionic conductors(SCs)exhibiting low ion migration activation energy(Ea)are critical to the performance of electrochemical energy storage devices such as solid-state batteries and fuel cells.However,it is challenging to obtain Ea experimentally and theoretically,and the artificial intelligence(AI)method is expected to bring a breakthrough in predicting Ea.Here,we proposed an AI platform(named AI-IMAE)to predict the Ea of cation and anion conductors,including Li^(+),Na^(+),Ag^(+),Al^(3+),Mg^(2+),Zn^(2+),Cu^((2)+),F^(−),and O^(2−),which is~105 times faster than traditional methods.The proposed AI-IMAE is based on crystal graph neural network models and achieves a holistic average absolute error of 0.19 eV,a median absolute error of 0.09 eV,and a Pearson coefficient of 0.92.Using AI-IMAE,we rapidly discovered 316 promising SCs as solid-state electrolytes and 129 SCs as cathode materials from 144,595 inorganic compounds.AI-IMAE is expected to completely solve the challenge of time-consuming Ea prediction and blaze a new trail for large-scale studies of SCs with excellent performance.As more experimental and high-precision theoretical data become available,AI-IMAE can train custom models and transfer the existing models to new models through transfer learning to constantly meet more demands. | Zhilong Wang Yanqiang Han Junfei Cai An Chen Jinjin Li | 2023 | SmartMat2023，4，6： | 0 |
| 5 | Correction to:Morphological and phylogenetical analysis reveals that a new tapeworm species(Cestoda:Hymenolepididae)from whooper swan belongs to Cloacotaenia not Hymenolepis显示文摘Correction to:J.For.Res.(2020)31(6):2581-2587 http://gffzzd3cc09b8251d45dfsv6n6wncw5bup6cv9.ffgz.tsg.suse.edu.cn/10.1007/s11676-019-01036-2 After publication of this article,it was brought to our atten-tion that the legend to Figure 1 did not state that Figure 1d was adapted from Figure 1d of Makarikov and Tkach(2013).In addition,Makarikov and Tkach(2013)should have been cited in the methods section. | Zhijun Hou Lei Han Ying Sun Dongdong Shen Zhiwei Peng Lixin Wang Qian Zhai Yanqiang Zhou Yaxian Lu Liwei Teng Hongliang Chai | 2022 | Journal of Forestry Research2022，33，5： | 0 |
| 6 | Low temperature fabrication for high-performance semitransparent CsPbI_(2)Br perovskite solar cells显示文摘All-inorganic CsPbI_(2)Br perovskite with suitable bandgap and excellent thermal stability has been reported as the most promising candidate for efficient perovskite solar cells (PSCs). However, the high annealing temperature (> 250 ℃) and poor stability of α-CsPbI_(2)Br greatly limit the future application in photovoltaic field. Herein, a facile method is reported to prepare α-CsPbI_(2)Br perovskite film with high stability at low temperature (70 ℃) by incorporating a small amount of γ-aminobutyric acid (GABA) in the precursor solutions. The devices exhibit reproducible photovoltaic performance with a champion efficiency up to 15.16%, along with the excellent stability, maintaining more than 80% of its initial efficiency after stored in ambient condition for 600 h without any encapsulation. Most importantly, the method enables fabrication of semitransparent CsPbI_(2)Br PSCs with a PCE of 6.76%, as well as an average visible transparency (AVT) of 25.38%. To the best of our knowledge, this is the first attempt to apply CsPbI_(2)Br to the semitransparent solar cells. | Xiaogang Yang Jiejia Han Wei Ruan Yanqiang Hu Zhengyan He Xiangrui Jia Shufang Zhang Dehua Wang | 2022 | Chinese Chemical Letters2022，33，3： | 0 |
| 7 | AlphaMat: a material informatics hub connecting data, features, models and applications显示文摘The development of modern civil industry,energy and information technology is inseparable from the rapid explorations of new materials.However,only a small fraction of materials being experimentally/computationally studied in a vast chemical space.Artificial intelligence(AI)is promising to address this gap,but faces many challenges,such as data scarcity and inaccurate material descriptors.Here,we develop an AI platform,AlphaMat,that can complete data preprocessing and downstream AI models.With high efficiency and accuracy,AlphaMat exhibits strong powers to model typical 12 material attributes(formation energy,band gap,ionic conductivity,magnetism,bulk modulus,etc.).AlphaMat’s capabilities are further demonstrated to discover thousands of new materials for use in specific domains.AlphaMat does not require users to have strong programming experience,and its effective use will facilitate the development of materials informatics,which is of great significance for the implementation of AI for Science(AI4S). | Zhilong Wang An Chen Kehao Tao Junfei Cai Yanqiang Han Jing Gao Simin Ye Shiwei Wang Imran Ali Jinjin Li | 2023 | npj Computational Materials2023，，1： | 0 |
| 8 | Morphological and phylogenetical analysis reveals that a new tapeworm species (Cestoda: Hymenolepididae) from whooper swan belongs to Cloacotaenia not Hymenolepis显示文摘During a helminthological study of waterfowl in China,a new species(Cloacotaenia cygnimorbus sp.nov.)of hymenolepidid cestodes(tapeworm)was found in the small intestine of whooper swan(Cygnus cygnus,Linnaeus,1758).The rudimentary rostellum and four unarmed muscular suckers,proglottids with distinct craspedote and three spherical testes were coincident with the characters of Cloacotaenia or Hymenolepis,but phylogenetic analysis of 28S rRNA and cox1 gene revealed that the new species is Cloacotaenia rather than Hymenolepis.Its morphology was also clearly diff erentiated from C.megalops in the arrangement of its testes in a triangle instead of in line and the cirrus unarmed rather than spined.Compared with C.megalops,the new species has more elongated neck,much larger mature proglottids and much smaller testes,cirrus sac,ovary,vitellarium and uterine proglottid.In addition,it infected the host intestine not the cloacae.Phylogenetic analysis of cox1 gene of the new species shows that it had a level of sequence variation(10.52–23.06%)with the sequences of C.megalops.The considerable morphological and molecular diff erences between those two parasites support C.cygnimorbus sp.nov.as a new species. | Zhijun Hou Lei Han Ying Sun Dongdong Shen Zhiwei Peng Lixin Wang Qian Zhai Yanqiang Zhou Yaxian Lu Liwei Teng Hongliang Chai | 2020 | Journal of Forestry Research2020，31，6： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员