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Omid Bagheri Faranak Sadegh Majid Moghadam Shahram Tangestaninejad Valiollah Mirkhani Iraj Mohammadpoor‐Baltork Mahsa Safiri 《应用有机金属化学》2014,28(5):337-346
The tetrakis(4‐N‐methylpyridinium)porphyrinatopalladium(II) iodide, [Pd(TMPyP)]I4, supported on Dowex 50WX8 and Amberlite IR‐120 ion‐exchange resins, was used as heterogeneous, recyclable and active catalyst for the Suzuki–Miyaura and Heck cross‐coupling reactions. These catalysts were applied to coupling of various aryl halides with phenylboronic acid and styrene in Suzuki and Heck reactions, respectively, and the corresponding products were obtained in excellent yields and short reaction times. The catalysts could be recovered easily by simple filtration and reused several times without significant loss of their catalytic activity. The catalysts were characterized by diffuse‐reflectance UV–visible spectroscopy and scanning electron microscopy, and their stability was confirmed by TGA. Copyright © 2014 John Wiley & Sons, Ltd. 相似文献
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Omid Bozorg Haddad Mahsa Mirmomeni Mahboubeh Zarezadeh Mehrizi Miguel A. Mariño 《Computational Optimization and Applications》2010,47(1):97-128
Effective project management requires the development of a realistic plan and a clear communication of the plan from the beginning
to the end of the project. The critical path method (CPM) of scheduling is the fundamental tool used to develop and interconnect
project plans. Ensuring the integrity and transparency of those schedules is paramount for project success. The complex and
discrete nature of the solution domain for such problems causes failing of traditional and gradient-based methods in finding
the optimal or even feasible solution in some cases. The difficulties encountered in scheduling construction projects with
resource constraints are highlighted by means of a simplified bridge construction problem and a basic masonry construction
problem. The honey-bee mating optimization (HBMO) algorithm has been previously adopted to solve mathematical and engineering
problems and has proven to be efficient for searching optimal solutions in large-problem domains. This paper presents the
HBMO algorithm for scheduling projects with both constrained and unconstrained resources. Results show that the HBMO algorithm
is applicable to projects with or without resource constraints. Furthermore, results obtained are promising and compare well
with those of well-known heuristic approaches and gradient-based methods. 相似文献
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Vahid Samavati Zahra Emam-Djomeh Mahmoud Omid 《Journal of Dispersion Science and Technology》2014,35(3):428-434
This article shows the ability of artificial neural network (ANN) technology for predicting the correlation between rheological properties of multi-component food model systems and their chemical compositions. Multi-component food model systems were made of whey protein isolate (WPI) (2, 4 wt%), Iranian tragacanth gum (TG) (Astragalus gossypinus) (0.5, 1 wt%) and oleic acid (5, 10% v/v). The input parameters of the neural networks (NN) were these chemical compositions, namely WPI and TG concentrations, and oleic acid volume fractions. The output parameters of the NN models were rheological properties of multi-component food model systems (flow and consistency indices, viscosity, loss and storage moduli). Results showed that, ANN with training algorithm of back propagation (BP) was the best one for the creation of nonlinear mapping between input and output parameters. The best topology was 3-10-5. The ANN model predicted the rheological properties of multi-component food model systems with average RMSE 4.529 and average MAE 3.018. These results show that the ANN can potentially be used to estimate rheological parameters of multi-component food model systems from chemical composition. This development may have significant potential to improve product quality control and reduce time and costs by minimizing the rheological experiments. 相似文献