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30 та иш

Иш: Application of monomer structures and fragments of local symmetry for simulation of glass transition temperatures of polymers

  1. SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules

    David Weininger

    Мақола198819 иқтибос
    ABI

  2. Applying the Monte Carlo technique to build up models of glass transition temperatures of diverse polymers

    Andrey A. Toropov, Alla P. Toropova, В. О. Кудышкин +2

    МақолаAdsorption, diffusion, and thermodynamic properties of materialsStructural Chemistry20204 иқтибос
    ABI

  3. Quantitative Structure−Property Relationship (QSPR) Correlation of Glass Transition Temperatures of High Molecular Weight Polymers

    Alan R. Katritzky, Sulev Sild, Victor S. Lobanov +1

    Мақола19983 иқтибос
    ABI

  4. Modeling of Glass Transition Temperatures for Polymeric Coating Materials: Application of QSPR Mixture‐based Approach

    Lyudvig S. Petrosyan, Natalia Sizochenko, Jerzy Leszczyński +1

    Мақола20193 иқтибос
    ABI

  5. Support vector machine-based QSPR for the prediction of glass transition temperatures of polymers

    Xinliang Yu

    Мақола20102 иқтибос
    ABI

  6. Predicting glass transition of amorphous polymers by application of cheminformatics and molecular dynamics simulations

    Anas Karuth, Amirhadi Alesadi, Wenjie Xia +1

    Мақола20212 иқтибос
    ABI

  7. Prediction of the Glass Transition Temperature of Multicyclic and Bulky Substituted Acrylate and Methacrylate Polymers Using the Energy, Volume, Mass (EVM) QSPR Model

    Christopher C. Cypcar, Philippe Camelio, Véronique Lazzeri +2

    Мақола19962 иқтибос
    ABI

  8. Evaluation of hierarchical structured representations for QSPR studies of small molecules and polymers by recursive neural networks

    ‪Carlo Bertinetto‬, Celia Duce, Alessio Micheli +3

    Мақола20082 иқтибос
    ABI

  9. Encoding alternatives for the prediction of polyacrylates glass transition temperature by quantitative structure–property relationships

    Andrew G. Mercader, Pablo R. Duchowicz

    Мақола20162 иқтибос
    ABI

  10. QSPR modelling for intrinsic viscosity in polymer–solvent combinations based on density functional theory

    Su Wang, Menghui Cheng, Lu Zhou +3

    Мақола20212 иқтибос
    ABI

  11. Artificial Neural Network Modeling of Glass Transition Temperatures for Some Homopolymers with Saturated Carbon Chain Backbone

    Elena‐Luiza Epure, Sîziana Diana Oniciuc, Nicolae Hurduc +1

    Мақола20212 иқтибос
    ABI

  12. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

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    Бошқа1 иқтибос
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    Бошқа1 иқтибос
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  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Building Up QSPR for Polymers Endpoints by Using SMILES-Based Optimal Descriptors

    В. О. Кудышкин, Alla P. Toropova

    БобComputational Drug Discovery MethodsChallenges and advances in computational chemistry and physics20231 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI