Search Results - Andreevna Rushchitc, Anastasia

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  1. 1
    Advanced computational study of different boron nitride-based nanospheres for removal of organic contaminants from wastewater system

    Advanced computational study of different boron nitride-based nanospheres for removal of organic contaminants from wastewater system by Feng, Li, Zhong, Kunyu, Majdi, Hasan Sh, Aallaei, Mohammadreza, Andreevna Rushchitc, Anastasia

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  2. 2
    Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability

    Modeling and computational study on prediction of pharmaceutical solubility in supercritical CO2 for manufacture of nanomedicine for enhanced bioavailability by Abdelbasset, Walid Kamal, Elkholi, Safaa M., Ahmed Ismail, Khadiga, A.A.M. Alalwani, Thamer, Hachem, Kadda, Mohamed, Abdullah, Agustiono Kurniawan, Tonni, Andreevna Rushchitc, Anastasia

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  3. 3
    Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest neighbors, and Artificial neural network models

    Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest neighbors, and Artificial neural... by Jin, Hulin, Kim, Yong-Guk, Jin, Zhiran, Rushchitc, Anastasia Andreevna, Al-Shati, Ahmed Salah

    Published in Energy reports
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  4. 4
    Comprehensive review on the efficiency of ionic liquid materials for membrane separation and environmental applications

    Comprehensive review on the efficiency of ionic liquid materials for membrane separation and environmental applications by Li, Weidong, Musa, Duaa Abdul Rida, Ahmad, Nafis, Adil, Mohaned, Altimari, Usama S., Ibrahim, Abdullah Khaleel, Alshehri, A.M., Riyahi, Yassin, Jaber, Asala Salam, Kadhim, Sokaina Issa, Rushchitc, Anastasia Andreevna, Aljuaid, Mutlaq Owaidh

    Published in Chemosphere (Oxford)
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  5. 5
    Machine learning model for prediction of drug solubility in supercritical solvent: Modeling and experimental validation

    Machine learning model for prediction of drug solubility in supercritical solvent: Modeling and experimental validation by An, Feifei, Sayed, Biju Theruvil, Parra, Rosario Mireya Romero, Hamad, Mohammed Haider, Sivaraman, R., Zanjani Foumani, Zahra, Rushchitc, Anastasia Andreevna, El-Maghawry, Enas, Alzhrani, Rami M., Alshehri, Sameer, M. AboRas, Kareem

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  6. 6
    DFT study of D-Penicillamine adsorption on Al and Ga doped boron nitride (Al-B11N12 and Ga-B11N12) nanoclusters as drug delivery agents

    DFT study of D-Penicillamine adsorption on Al and Ga doped boron nitride (Al-B11N12 and Ga-B11N12) nanoclusters as drug delivery agents by Huang, Jun, Mohammed, Shaimaa M., Alsaikhan, Fahad, Mahdi, Mohammed H., Adil, Mohaned, Khudair, Shaymaa Abdulhameed, AbdalSalam, Ahmed Ghaleb, Zabibah, Rahman S., Abbas, Ali Hashim, Alsaab, Hashem O., Rushchitc, Anastasia Andreevna

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