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    题名 作者 年代 出处 被引量
1Synthesis of a MnO 2 –graphene foam hybrid with controlled MnO 2 particle shape and its use as a supercapacitor electrode显示文摘Xiaochen Dong Xuewan Wang Jing Wang Hao Song Xingao Li Lianhui Wang Mary B. Chan-Park Chang Ming Li Peng Chen 2012Carbon2012,,:1
2Thermal conductivity of graphene nanoribbons 显示文摘GUO Zhixin ZHANG Dier GONG Xingao 2009Appl Phys Lett2009,95,16:1
3显示文摘Chen Shiyou Gong Xingao Aron Walsh 2011Wu Li2011,40,4:1
4Charge-induced structural changes in Al12C clusters显示文摘Li Shunfang Gong Xingao 2004Phys Rev B2004,70,07:1
5A MATLABSimulink-based PV module model and its application under conditions of nonuniform irradiance显示文摘DING Kun BIAN Xingao LIU Haihao 2012IEEE Transactions on Energy Conversion2012,27,4:1
6Adaptive Finite Element Approximations for a Class of Nonlinear Eigenvalue Problems in Quantum Physics显示文摘In this paper,we study an adaptive finite element method for a class of nonlinear eigenvalue problems resulting from quantum physics that may have a nonconvex energy functional.We prove the convergence of adaptive finite element approximations and present several numerical examples of micro-structure of matter calculations that support our theory.Huajie Chen Xingao Gong Lianhua He Aihui Zhou 2011Advances in Applied Mathematics and Mechanics2011,3,4:0
7Trace Element Mobility in Subducted Marble and Associated Eclogite:Constraints from UHP Rocks in the Shuanghe Area,Central-East China显示文摘In order to decipher element mobility in UHP meta-sedimentary rocks in the continental subduction zone,major and trace element compositions are investigated for a continuous profile from a representative UHP region in the Dabie Mountains.Among the lithologic contact zone,contents of K,Ca,LREE,and LILE exhibit varying degrees of downward trends in both marble and eclogite toward the contact zone,indicating that marble and their associated eclogite can release a large amount of K,Ca,and a small number of LILEs and LREEs.Titanite is the main Ti phase in both marble and eclogite.Titanite rims around rutile can occasionally be seen in eclogite.Contents of Ti and HFSE exhibit a well-coupled relation among marble and eclogite,indicating that substantial Ti and HFSEs were migrated from eclogite to marble,in accord with the capacity of a melt medium.Rutiles and titanites in marble exhibit a relatively limited variation in Nb/Ta ratios(12.9-16.2),similar to those of titanites in eclogite(14.2-16.7),which demonstrates that rutiles and titanites in marble were sourced from eclogite because of short-distance migrations of Ti and HFSEs.According to the P-T path and the temperature and pressure conditions of the peak metamorphism reported by previous studies,the eclogite associated with marble may not form supercritical fluids in the subduction zone because of the addition of carbonate minerals.Xingao Hou Zhiqiang Yu Shefa Chen Lei Liu Yilin Xiao 2024Journal of Earth Science2024,35,1:0
8Transferable equivariant graph neural networks for the Hamiltonians of molecules and solids显示文摘This work presents an E(3)equivariant graph neural network called HamGNN,which can fit the electronic Hamiltonian matrix of molecules and solids by a complete data-driven method.Unlike invariant models that achieve equivariance approximately through data augmentation,HamGNN employs E(3)equivariant convolutions to construct the Hamiltonian matrix,ensuring strict adherence to all equivariant constraints inherent in the physical system.In contrast to previous models with limited transferability,HamGNN demonstrates exceptional accuracy on various datasets,including QM9 molecular datasets,carbon allotropes,silicon allotropes,SiO_(2) isomers,and BixSey compounds.The trained HamGNN models exhibit accurate predictions of electronic structures for large crystals beyond the training set,including the Moirétwisted bilayer MoS2 and silicon supercells with dislocation defects,showcasing remarkable transferability and generalization capabilities.The HamGNN model,trained on small systems,can serve as an efficient alternative to density functional theory(DFT)for accurately computing the electronic structures of large systems.Yang Zhong Hongyu Yu Mao Su Xingao Gong Hongjun Xiang 2023npj Computational Materials2023,,1:0
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