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Computational methods for adsorption study in wastewater treatment

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F23%3A00133181" target="_blank" >RIV/00216224:14310/23:00133181 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0167732223018147?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0167732223018147?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.molliq.2023.123008" target="_blank" >10.1016/j.molliq.2023.123008</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Computational methods for adsorption study in wastewater treatment

  • Original language description

    Computation methods or molecular simulations can be used to identify materials with high adsorption capacity for wastewater treatment rapidly. They can also provide complementary insights into the dynamics of adsorption processes. In addition, molecular simulations can be used to understand the adsorption mechanism and the interaction between contaminants and adsorbents. Considering their applicability in wastewater treatment, computational methods have been widely used for adsorption studies. Due to affordability, most of these methods are based on density functional theory (DFT) calculations. However, molecular dynamics and Monte Carlo simulations have also been used to get insights into the adsorption of pollutants. With the growth of artificial intelligence, machine learning-based approaches have also been used to predict the adsorption capacity of materials. Despite the importance of computational methods in wastewater treatment, no review article summarizes the methods used in the literature. Therefore, we undertake to summarize, classify, and provide a detailed description of computational methods used in the adsorption studies for wastewater treatment. For each method, we review some outstanding works using the method and provide the advantages and limits of the method. Finally, future directions and possible improvements of the computational methods are suggested as perspectives.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10301 - Atomic, molecular and chemical physics (physics of atoms and molecules including collision, interaction with radiation, magnetic resonances, Mössbauer effect)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Molecular Liquids

  • ISSN

    0167-7322

  • e-ISSN

  • Volume of the periodical

    390

  • Issue of the periodical within the volume

    November 2023

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    1-16

  • UT code for WoS article

    001082346400001

  • EID of the result in the Scopus database

    2-s2.0-85171425531