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141.
Dr. Hui Cai Zhan‐Yi Sun Zhi‐Hua Huang Lei Shi Prof. Dr. Yu‐Fen Zhao Prof. Dr. Horst Kunz Prof. Dr. Yan‐Mei Li 《Chemistry (Weinheim an der Bergstrasse, Germany)》2013,19(6):1962-1970
Glycopeptides of tumor‐associated mucin MUC1 are promising target structures for the development of antitumor vaccines. Because these endogenous structures were weakly immunogenic, they were coupled to immune‐response‐stimulating T‐cell epitopes and the Pam3Cys lipopeptide to induce strong immune responses in mice. A new thioether‐ligation method for the synthesis of two‐ and three‐component vaccines that contain MUC1 glycopeptides as the B‐cell epitopes, a T‐cell epitope peptide, and the Pam3CSK4 lipopeptide is described. The resulting fully synthetic vaccines were used for the vaccination of mice, either in a liposome with Freund′s adjuvant or in aqueous PBS buffer. The three‐component vaccines that contained the Tetanus Toxoid P2 T‐cell epitope peptide induced strong immune responses, even when administered just in PBS. By activation of the complement‐dependent cytotoxicity (CDC) complex, the antisera induced the killing of tumor cells. 相似文献
142.
锌-空气电池是一种高能量的电池体系.实验表明, 在大功率工作条件下, 锌电极的材料利用率随电流密度的增加而急剧下降. 为探索其在大功率工作条件下的放电机理, 本文针对这一过程建立了一维数学模型, 通过数值求解模拟多个物理量如离子浓度、传递电流密度、电极孔隙度、固体氧化锌等在电极内部的分布变化情况, 在此基础上分析电极的性能. 数值结果分析表明, 固体氧化锌对电极内质量传输过程的限制是导致电极失效的根本原因. 其析出时间及在电极内部的集中分布位置对电极性能有显著影响; 而仅当其体积分数超过30%-35%的范围后才开始显著限制传质过程. 讨论了电极的优化措施, 模拟表明更高的溶液电导率,更大的电极孔隙度有利于增加大功率工作条件下电极的材料利用率. 但最重要的是保持电极内部氢氧根离子的浓度在一个较高的值,对于封闭式电极可以通过补液实现, 理想情况为设计一个电解液循环式的锌电极. 相似文献
143.
Xiu‐Li Hao Yuan‐Yuan Ma Dr. Yong‐Hui Wang Long‐Yang Xu Dr. Fu‐Chen Liu Mao‐Mao Zhang Prof. Yang‐Guang Li 《化学:亚洲杂志》2014,9(3):819-829
Investigation into a hydrothermal reaction system with transition‐metal (TM) ions, 1,4‐bis(1,2,4‐triazol‐1‐lmethyl)benzene (BBTZ) and various charge‐tunable Keggin‐type polyoxometalates (POMs) led to the preparation of four new entangled coordination networks, [CoII(HBBTZ)(BBTZ)2.5][PMo12O40] ( 1 ), [CuI(BBTZ)]5[BW12O40] ? H2O ( 2 ), [CuII(BBTZ)]3[AsWV3WVI9O40] ? 10 H2O ( 3 ), and [CuII5(BBTZ)7(H2O)6][P2W22Cu2O77(OH)2] ? 6 H2O ( 4 ). All compounds were characterized by using elemental analysis, IR spectroscopy, thermogravimetric analysis, powder X‐ray diffraction, and single‐crystal X‐ray diffraction. The mixed valence of W centers in compound 3 was further confirmed by using XPS spectroscopy and bond‐valence sum calculations. In the structural analysis, the entangled networks of 1 – 4 demonstrate zipper‐closing packing, 3D polythreading, 3D polycatenation, and 3D self‐penetration, respectively. Moreover, with the enhancement of POM negative charges and the use of different TM types, the number of nodes in the coordination networks of 1 – 4 increased and the basic metal–organic building motifs changed from a 1D zipper‐type chain (in 1 ) to a 2D pseudorotaxane layer (in 2 ) to a 3D diamond‐like framework (in 3 ) and finally to a 3D self‐penetrating framework (in 4 ). The photocatalytic properties of compounds 1 – 4 for the degradation of methylene blue under UV light were also investigated; all compounds showed good catalytic activity and the photocatalytic activity order of Keggin‐type species was initially found to be {XMo12O40}>{XW12O40}>{XW12?nTMnO40}. 相似文献
144.
超高效液相色谱-四极杆/静电场轨道阱高分辨质谱法非靶向筛查苹果中苯脲类农药 总被引:1,自引:0,他引:1
建立了超高效液相色谱-四极杆/静电场轨道阱高分辨质谱(UPLC-Q/Orbitrap HRMS)非靶向筛查苹果中苯脲类农药的方法。样品采用QuEChERS法提取净化,Acquity BEH C18色谱柱(100 mm × 2.1 mm,1.7 μm)分离,以甲醇和含0.1%甲酸的水溶液为流动相进行梯度洗脱,在电喷雾正离子模式下采用四极杆/静电场轨道阱高分辨质谱进行检测。将13种苯脲类除草剂和9种苯甲酰脲类杀虫剂按化学结构分为4类。首先通过对4类22种典型苯脲类农药标准品的准分子离子和二级质谱碎片进行分析,总结苯脲类农药的质谱裂解规律如下:绿麦隆等9种苯脲类除草剂的主要特征离子碎片为m/z 72.044 59,可通过特征丢失中性分子二甲胺(m/z 45.058 03)产生特征离子碎片;绿谷隆等4种苯脲类除草剂可通过特征丢失中性分子甲醇[CH3OH]或卤化氢[HR1](R=Cl,Br,F)产生离子碎片;除虫脲等7种含氟苯甲酰脲杀虫剂的主要特征离子碎片为 m/z 158.040 47、141.015 00,也可发生特征中性丢失2,6-氟苯甲酰胺结构[C8H3F2O2NH2](m/z 183.013 21);杀铃脲等2种含氯苯甲酰脲类杀虫剂的主要特征离子碎片为m/z 156.020 25、138.993 76、113.015 28。利用该方法对北京12份市售苹果进行非靶向筛查,在1份样品中筛查出绿麦隆。该方法可为快速筛查农产品中相似结构特征的苯脲类化合物提供参考。 相似文献
145.
In this paper we study the semileptonic decays of the Bc meson in the light-cone sum rule (LCSR) approach. The result for each channel depends on the corresponding distribution amplitude
(DA) of the final meson. For the case of Bc decaying into a pseudoscalar meson, to twist-3 accuracy only the leading twist distribution amplitude is involved if we start
from a chiral current. If we choose a suitable chiral current in the vector meson case, the main twist-3 contributions are
also eliminated and we can consider the leading twist contribution only. The leading twist distribution amplitudes of the
charmonium and other heavy mesons are given by a model approach in a reasonable way. Employing this charmonium distribution
amplitude we find a cross section that is consistent with Belle and BaBar data. Based on this model, we calculate the form factors for various Bc decay modes in the corresponding regions. Extrapolating the form factors to the whole kinetic regions, we get the decay widths
and branching ratios for various Bc decay modes including their τ modes when they are kinematically accessible.
PACS 13.20.He; 13.20.Fc; 11.55.Hx 相似文献
146.
147.
148.
Theoretical studies of cobalt(I)‐catalyzed hydroacylation of vinylsilanes and alkyl aldehydes 下载免费PDF全文
Density functional theory (DFT) was used to investigate computationally cobalt(I)‐catalyzed hydroacylation of vinylsilanes and alkyl aldehydes to give ketones. Calculation indicated that cobalt(I)‐catalyzed hydroacylation had eight possible reaction pathways. In the cobalt‐hydride complexes IM2a and IM2b, the hydrogen migration occurred prior to the carbon–carbon bond‐forming reaction. In the complexes IM3a1 and IM3b1, the carbonyl elimination reaction occurred prior to the direct reductive elimination reaction. In the cobalt–carbonyl complexes IM4a and IM4b, the carbonyl insertion reaction was much easier to achieve than the decarbonylation reaction. The dominant reaction pathway was the reaction channel IM1a → TS1a → IM2a → TS2a1 → IM3a1 → TS4a → IM4a → TS5a → IM5a → TS6a → IM6a, and the reductive elimination reaction was the rate‐determining step for this channel, so the dominant product predicted theoretically was the linear ketone. Furthermore, the solvation effect was remarkable, and it decreased generally the free energies of the species. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
149.
The phase transitions, lattice dynamical and thermodynamic properties of BeS, BsSe and BeTe at high pressure have been investigated with the density functional theory. The calculated equilibrium structural parameters agree well with the available experimental and theoretical values. The phase transition pressures from the zinc-blende (ZB) to the nickel arsenide (NiAs) phase of these compounds are determined. The calculated phonon dispersion curves of these compounds in ZB phase at zero pressure do not show any anomaly or instability. Dynamically, the ZB phase of BeS, BeSe and BeTe is found to be stable near transition pressures PT. Within the quasiharmonic approximation, the thermodynamic properties including the thermal expansion coefficient, heat capacity at constant volume, heat capacity at constant pressure and entropy are predicted. 相似文献
150.
Overview of software options for processing,analysis and interpretation of mass spectrometric proteomic data 下载免费PDF全文
Recently, the interests in proteomics have been intensively increased, and the proteomic methods have been widely applied to many problems in cell biology. If the age of 1990s is considered to be a decade of genomics, we can claim that the following years of the new century is a decade of proteomics. The rapid evolution of proteomics has continued through these years, with a series of innovations in separation techniques and the core technologies of two‐dimensional gel electrophoresis and MS. Both technologies are fueled by automation and high throughput computation for profiling of proteins from biological systems. As Patterson ever mentioned, ‘data analysis is the Achilles heel of proteomics and our ability to generate data now outstrips our ability to analyze it’. The development of automatic and high throughput technologies for rapid identification of proteins is essential for large‐scale proteome projects and automatic protein identification and characterization is essential for high throughput proteomics. This review provides a snap shot of the tools and applications that are available for mass spectrometric high throughput biocomputation. The review starts with a brief introduction of proteomics and MS. Computational tools that can be employed at various stages of analysis are presented, including that for data processing, identification, quantification, and the understanding of the biological functions of individual proteins and their dynamic interactions. The challenges of computation software development and its future trends in MS‐based proteomics have also been speculated. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献