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1.
为解决系统模型误差、外部干扰以及执行器故障引起的双星编队轨道控制精度低、稳定性差问题,设计一种基于观测器的抗干扰容错线性二次型调节器(LQR)控制策略。首先,根据编队双星相对运动动力学模型,设计基于双比例积分自适应律的增广观测器,同时实现对系统状态、间歇故障与快速时变故障、可建模干扰的快速精确估计,并采用H∞优化技术抑制不可建模干扰对控制系统的影响。其次,采用Lyapunov稳定性理论,保证动态误差系统渐近稳定。然后,在控制器中引入未知动态估计信息的前馈补偿项,设计闭环反馈抗干扰容错LQR控制律。最后实验结果表明,相比文献中控制方法,本文所提方法的编队卫星相对位置控制精度提高49.93%,验证了所设计的抗干扰容错LQR控制律的优越性,能够为双星编队构形保持提供精确控制策略。 相似文献
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Huahai Shen Menglu Li Pengcheng Li Haiyan Xiao Haibin Zhang Xiaotao Zu 《Journal of the American Ceramic Society》2021,104(5):2301-2312
In the past decades, pyrochlores, such as Gd2Zr2O7, have demonstrated great potential to immobilize nuclear wastes such as Pu, which results in the production of Pu2Zr2O7. Due to the high radioactivity of Pu, it is difficult to investigate the radiation response behavior of Pu2Zr2O7 and its physical properties of the damaged state experimentally. Consequently, few related data have been reported in the literature thus far. In this study, first-principles calculations have been carried out to investigate the defect formation and its effect on the thermodynamic properties of Pu2Zr2O7. It reveals that PuZr antisite and O8a interstitial defects are very easy to form in Pu2Zr2O7. In particular, the O8a interstitial defect can be formed spontaneously, while it is mechanically unstable. When vacancy, interstitial or antisite defects are formed in Pu2Zr2O7, and the elastic moduli and Debye temperature are decreased. Besides, better ductility is resulted. As compared with other zirconate pyrochlores, such as Gd2Zr2O7, the Pu2Zr2O7 is suggested to be less resistant to radiation-induced amorphization. This study demonstrates that the created defects due to self-radiation from actinide decay have remarkable influences on the thermophysical properties of Pu2Zr2O7. 相似文献
4.
Niranjan Sitapure Hyeonggeon Lee Francisco Ospina-Acevedo Perla B. Balbuena Sungwon Hwang Joseph Sang-II Kwon 《American Institute of Chemical Engineers》2021,67(1):e17073
Li metal anode is the “Holy Grail” material of advanced Lithium-ion-batteries (LIBs). However, it is plagued by uncontrollable dendrite growth resulting in poor cycling efficiency and short-circuiting of batteries. This has spurred a plethora of research to understand the underlying mechanism of dendrite formation. While experimental studies suggest that there are complex physical and chemical interactions between heterogeneous solid-electrolyte interphase (SEI) and dendrite growth, most of the studies do not reveal the mechanisms triggering these interactions. To deal with this knowledge gap, we propose a multiscale modeling framework which couples kinetic Monte Carlo and Molecular Dynamics simulations. Specifically, the model has been developed to account for (a) heterogeneous SEI, (b) dendrite-SEI interactions, and (c) effect of electrolyte on Li electrodeposition and potential dendrite formation. This allows the proposed computational model to be extended to various electrolytes and SEI species and generate results consistent with previous experimental studies. 相似文献
5.
四川盆地及周缘志留系龙马溪组一段深层页岩储层特征及其成因 总被引:1,自引:0,他引:1
深层页岩储层是页岩气勘探开发的重要接替领域。针对四川盆地及周缘龙马溪组一段深层页岩,系统开展了X-衍射全岩(XRD)、总有机碳(TOC)、大薄片及氩离子抛光大片成像研究。结果表明,相对于浅层页岩,深层页岩储层具有高硅质和低TOC含量、低粉砂纹层含量、高孔隙度和更有效的孔隙网络特征。由浅层至深层,页岩硅质含量由30%增至62%。相应地,碳酸盐含量由32%降至14.3%,粘土矿物含量由33%降至7.8%,TOC含量由7.1%降至4.25%。深层页岩储层发育条带状粉砂纹理,与浅层页岩相比,其粉砂纹层含量减少、单层厚度减薄。黑色页岩发育有机孔、无机孔和微裂缝,由浅层至深层,页岩总面孔率由1.6%增至10.8%,有机孔和无机孔均明显增加,且微裂缝占比由1%增至12%。深层页岩储层有机孔、无机孔和微裂缝相互连通,形成有效的孔隙网络。深层高硅质含量、高孔隙度和更有效的孔隙网络与生物成因硅有关,低TOC含量与远离物源有关,低粉砂纹层含量与水深较大有关。生物成因硅在成岩过程中可形成大量有机孔、无机孔和微裂缝,且其可有效保存孔隙。有机质的生成受营养物质供给影响,远离物源区营养供给较少。粉砂纹层主要由碳酸盐矿物组成,深层不利于碳酸盐的形成。 相似文献
6.
周清庄油田存在地层产状陡、砂体厚度薄、油层埋藏深等特征,导致水平井在油层钻进过程中,极易造成井眼轨迹出层,为了解决这一难题,开展了水平井地质导向技术研究。通过分析该地区邻井钻遇储集层的实际情况,结合录井曲线中的钻时、气测以及测井曲线中的自然伽马、电阻率等参数对周清庄地区沙三3储集层的标志层以及储集层内部进行精细划分,在纵向上建立储集层与标志层在岩性、电性上的响应特征模型,并以该模型指导水平井钻进,即首先把钻遇的标志层与模型中的标志层进行分析对比确保着陆于油层,其次运用“蛙泳法”计算地层动态倾角,为确保水平段始终处于目的层内及时调整井眼轨迹,最终达到提高储集层钻遇率的目的。 相似文献
7.
Dr. Daisuke Okuno Dr. Noriho Sakamoto Dr. Mohammed S. O. Tagod Yoshiko Akiyama Dr. Sakiko Moriyama Dr. Takuto Miyamura Dr. Atsuko Hara Dr. Takashi Kido Dr. Hiroshi Ishimoto Prof. Yuji Ishimatsu Prof. Takashi Tanaka Prof. Jun Ishihara Prof. Kohsuke Takeda Prof. Yoshimasa Tanaka Prof. Hiroshi Mukae 《ChemMedChem》2021,16(16):2515-2523
Heat shock protein 47 (HSP47), a collagen-specific molecular chaperone, is causally related to fibrotic diseases, including idiopathic pulmonary fibrosis. The identification of Compounds that interfere with the HSP47-collagen interaction is essential for the development of relevant therapeutics. Herein, we prepared human HSP47 as a soluble fusion protein expressed in E. coli and established an assay system for HSP47 inhibitor screening. We screened a natural and synthetic Compound library established at Nagasaki University. Among 1023 Compounds, 13 exhibited inhibitory activity against human HSP47, of which three inhibited its function in a dose-dependent manner. Epigallocatechin-3-O-gallate, one of these three Compounds, is a typical polyphenol Compound derived from tea leaves. Structurally related Compounds were synthesized and examined for their activity, revealing a hydroxyl group at A-ring position 5 as important for its activity. The present findings provide valuable insight for the development of natural product-derived therapeutics for fibrotic diseases, including idiopathic pulmonary fibrosis. 相似文献
8.
Xin Huang Limin He Xiaoming Luo Ke Xu Yuling Lü Donghai Yang 《American Institute of Chemical Engineers》2021,67(5):e17165
The dynamic behaviors of two droplets and droplet cluster under an alternating current (AC) electric field are investigated. Two droplets generally undergo transformation from complete coalescence to partial coalescence and finally to non-coalescence as the electric capillary number Cap increases. The critical electric capillary number Capc for complete coalescence in the AC electric field remains unchanged and is twice as large as that in the direct current (DC) electric field when the frequency f ≥ 250 Hz. Charge transfer and reversal of electric field result in the reversal of the direction of electric force, which is the fundamental mechanism of non-coalescence of two droplets and chain formation in droplet cluster. The number of rebounds dramatically increases as f increases, promoting the stability of droplet chain. The droplet chains in the high-frequency AC electric field are longer and more stable than those in the low-frequency AC electric field. 相似文献
9.
Zihao Chen Long Hu Bao-Ting Zhang Aiping Lu Yaofeng Wang Yuanyuan Yu Ge Zhang 《International journal of molecular sciences》2021,22(7)
Aptamers are short single-stranded DNA, RNA, or synthetic Xeno nucleic acids (XNA) molecules that can interact with corresponding targets with high affinity. Owing to their unique features, including low cost of production, easy chemical modification, high thermal stability, reproducibility, as well as low levels of immunogenicity and toxicity, aptamers can be used as an alternative to antibodies in diagnostics and therapeutics. Systematic evolution of ligands by exponential enrichment (SELEX), an experimental approach for aptamer screening, allows the selection and identification of in vitro aptamers with high affinity and specificity. However, the SELEX process is time consuming and characterization of the representative aptamer candidates from SELEX is rather laborious. Artificial intelligence (AI) could help to rapidly identify the potential aptamer candidates from a vast number of sequences. This review discusses the advancements of AI pipelines/methods, including structure-based and machine/deep learning-based methods, for predicting the binding ability of aptamers to targets. Structure-based methods are the most used in computer-aided drug design. For this part, we review the secondary and tertiary structure prediction methods for aptamers, molecular docking, as well as molecular dynamic simulation methods for aptamer–target binding. We also performed analysis to compare the accuracy of different secondary and tertiary structure prediction methods for aptamers. On the other hand, advanced machine-/deep-learning models have witnessed successes in predicting the binding abilities between targets and ligands in drug discovery and thus potentially offer a robust and accurate approach to predict the binding between aptamers and targets. The research utilizing machine-/deep-learning techniques for prediction of aptamer–target binding is limited currently. Therefore, perspectives for models, algorithms, and implementation strategies of machine/deep learning-based methods are discussed. This review could facilitate the development and application of high-throughput and less laborious in silico methods in aptamer selection and characterization. 相似文献
10.
同轴套管式深井换热器是一种开采地热能的有效方式,为了提高其换热器的换热性能,采用有限体积分析方法,开展了同轴套管式深井换热器传热性能研究。通过建立近地热源区域的同轴套管式深井换热器三维传热模型,分析了入口流速、入口温度以及保温管距井底距离等关键因素对换热器采热功率的影响,结果表明:入口流速由0.1 m/s增加到1 m/s,采出温度降低了9.82 K,采热功率增加了7倍;入口温度从288 K增加到308 K,采出温度增加了13.61 K,采热功率下降了17.2%;距井底900 mm距离降低到 100 mm,采出温度增加1.91 K,采热功率增加了6.57%。 相似文献