Found: 12
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Response Surface Optimization of Removal of Rhodamine B Dye Using a Synthesized Ni-Based Metal-Organic Framework Adsorbent.
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- Journal of Nanostructures, 2023, v. 13, n. 3, p. 755, doi. 10.22052/JNS.2023.03.016
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- Article
Superparamagnetic core‐shell metal–organic framework Fe<sub>3</sub>O<sub>4</sub>@Ni‐MOF as efficient catalyst for oxidation of 1,4‐dihydropyridines using hydrogen peroxide.
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- Applied Organometallic Chemistry, 2021, v. 35, n. 10, p. 1, doi. 10.1002/aoc.6350
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- Article
Hofmann N‐alkylation of aniline derivatives with alcohols using ferric perchlorate immobilized on SiO<sub>2</sub> as a catalyst through Box–Behnken experimental design.
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- Applied Organometallic Chemistry, 2018, v. 32, n. 12, p. N.PAG, doi. 10.1002/aoc.4591
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- Article
Comparison between genetic algorithm‐multiple linear regression and back‐propagation‐artificial neural network methods for predicting the LD<sub>50</sub> of organo (phosphate and thiophosphate) compounds.
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- Journal of the Chinese Chemical Society, 2020, v. 67, n. 8, p. 1356, doi. 10.1002/jccs.201900514
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- Article
QSAR studies of quinoline alkaloids camptothecin derivatives for prediction anticancer activity using linear and nonlinear methods.
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- International Journal of Quantum Chemistry, 2024, v. 124, n. 1, p. 1, doi. 10.1002/qua.27314
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- Article
QSPR analysis to predict some quantum chemical properties of 2‐phenylindol derivatives as anticancer drugs using molecular descriptor and genetic algorithm multiple linear regression.
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- International Journal of Quantum Chemistry, 2024, v. 124, n. 1, p. 1, doi. 10.1002/qua.27260
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- Article
QSPR study to predict some of quantum chemical properties of anticancer imidazo[4,5‐b]pyridine derivatives using genetic algorithm multiple linear regression and molecular descriptors.
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- International Journal of Quantum Chemistry, 2024, v. 124, n. 1, p. 1, doi. 10.1002/qua.27259
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- Article
Comparative QSAR modeling of 2‐phenylindol derivatives for predicting the anticancer activity using genetic algorithm multiple linear regression and back‐propagation‐artificial neural network techniques.
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- International Journal of Quantum Chemistry, 2023, v. 123, n. 6, p. 1, doi. 10.1002/qua.27057
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QSPR models to predict quantum chemical properties of imidazole derivatives using genetic algorithm–multiple linear regression and back‐propagation–artificial neural network.
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- International Journal of Quantum Chemistry, 2022, v. 122, n. 24, p. 1, doi. 10.1002/qua.27003
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- Article
Removal of Congo Red from Aqueous Solution by Hydroxyapatite Nanoparticles Loaded on Zein as an Efficient and Green Adsorbent: Response Surface Methodology and Artificial Neural Network-Genetic Algorithm.
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- Journal of Polymers & the Environment, 2018, v. 26, n. 9, p. 3677, doi. 10.1007/s10924-018-1246-z
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- Article
COMPUTATIONAL MODELLING OF THE 5a -REDUCTASE INHIBITORS BASED ON THE MIA-SAR APPROACH AND DESIGN OF NEW COMPOUNDS.
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- Journal of Science & Arts, 2019, v. 19, n. 4, p. 1011
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- Article
Metal-Phase Microextraction (MPME) as a Novel Solvent-Free and Green Sample Preparation Technique: Determination of Cadmium in Infant Formula and Real Water Samples.
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- Food Analytical Methods, 2022, v. 15, n. 7, p. 2048, doi. 10.1007/s12161-022-02259-6
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- Article