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Иш: Building Up QSPR for Polymers Endpoints by Using SMILES-Based Optimal Descriptors

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

    David Weininger

    Мақола198819 иқтибос
    ABI
  2. Refractive indices of diverse data set of polymers: A computational QSPR based study

    Farukh Jabeen, Min Chen, Bakhtiyor Rasulev +2

    Мақола20177 иқтибос
    ABI
  3. On computation of optimal parameters for multivariate analysis of structure‐property relationship

    Milan Randić

    Мақола19915 иқтибос
    ABI
  4. QSPR studies on refractive indices of structurally heterogeneous polymers

    Pablo R. Duchowicz, Silvina E. Fioressi, Daniel E. Bacelo +3

    Мақола20144 иқтибос
    ABI
  5. Polymer in Agriculture: a Review

    Francesco Puoci, Francesca Iemma, Umile Gianfranco Spizzirri +3

    Шарҳ мақола20083 иқтибос
    ABI
  6. Correlation and Prediction of the Refractive Indices of Polymers by QSPR

    Alan R. Katritzky, Sulev Sild, Mati Karelson

    Мақола19982 иқтибос
    ABI
  7. Prediction of Solubility Parameters for Polymers by a QSPR Model

    Xinliang Yu, Xueye Wang, Hanlu Wang +2

    Мақола20052 иқтибос
    ABI
  8. Prediction of refractive indices of linear polymers by a four-descriptor QSPR model

    Jie Xu, Biao Chen, Qijin Zhang +1

    Мақола20042 иқтибос
    ABI
  9. Prediction of Thermal Decomposition Temperature of Polymers Using QSPR Methods

    Davood Ajloo

    Мақола20082 иқтибос
    ABI
  10. Application of QSPR to Binary Polymer/Solvent Mixtures: Prediction of Flory‐Huggins Parameters

    Jie Xu, Hongtao Liu, Wenbin Li +2

    Мақола20082 иқтибос
    ABI
  11. Does the Index of Ideality of Correlation Detect the Better Model Correctly?

    Alla P. Toropova, Andrey A. Toropov

    Мақола20192 иқтибос
    ABI