A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells (Q41214990)

28 September 2017

title

A cascaded QSAR model for efficient prediction of overall power conversion efficiency of all-organic dye-sensitized solar cells (English)

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28 September 2017

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Hongzhi Li

1

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28 September 2017

Ziyan Zhong

2

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28 September 2017

Lin Li

3

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28 September 2017

Rui Gao

4

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28 September 2017

Jingxia Cui

5

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28 September 2017

Ting Gao

6

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28 September 2017

Li Hong Hu

7

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28 September 2017

Yinghua Lu

8

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28 September 2017

Zhong-Min Su

9

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28 September 2017

Hui Li

10

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28 September 2017

publication date

14 March 2015

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Journal of Computational Chemistry

28 September 2017

published in

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28 September 2017

volume

36

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28 September 2017

issue

14

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28 September 2017

page(s)

1036-1046

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A low-cost, high-efficiency solar cell based on dye-sensitized colloidal TiO2 films

28 September 2017

cites work

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Recent advances in sensitized mesoscopic solar cells

21 January 2018

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Porphyrin-sensitized solar cells with cobalt (II/III)-based redox electrolyte exceed 12 percent efficiency

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A stable quasi-solid-state dye-sensitized solar cell with an amphiphilic ruthenium sensitizer and polymer gel electrolyte

21 January 2018

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Do quantum mechanical energies calculated for small models of protein-active sites converge?

21 January 2018

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Accurate Reaction Energies in Proteins Obtained by Combining QM/MM and Large QM Calculations

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Molecular design principle of all-organic dyes for dye-sensitized solar cells.

21 January 2018

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The X1 method for accurate and efficient prediction of heats of formation

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Improving the accuracy of density-functional theory calculation: the genetic algorithm and neural network approach.

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An effective method for accurate prediction of the first hyperpolarizability of alkalides.

21 January 2018

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An accurate and efficient method to predict the electronic excitation energies of BODIPY fluorescent dyes

21 January 2018

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Metal-free organic dyes for dye-sensitized solar cells: from structure: property relationships to design rules

21 January 2018

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Photoelectrochemical cells

21 January 2018

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Choosing feature selection and learning algorithms in QSAR.

21 January 2018

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An accurate density functional theory calculation for electronic excitation energies: the least-squares support vector machine

21 January 2018

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Benchmarking Variable Selection in QSAR.

21 January 2018

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Comparative study of QSAR/QSPR correlations using support vector machines, radial basis function neural networks, and multiple linear regression.

21 January 2018

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Prediction of protein phosphorylation sites by using the composition of k-spaced amino acid pairs

21 January 2018

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Beyond the scope of Free-Wilson analysis: building interpretable QSAR models with machine learning algorithms

21 January 2018

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External validation and prediction employing the predictive squared correlation coefficient test set activity mean vs training set activity mean.

21 January 2018

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The Importance of Being Earnest: Validation is the Absolute Essential for Successful Application and Interpretation of QSPR Models

21 January 2018

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Methods for reliability and uncertainty assessment and for applicability evaluations of classification- and regression-based QSARs

21 January 2018

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Defining a novel k-nearest neighbours approach to assess the applicability domain of a QSAR model for reliable predictions

21 January 2018

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Critical assessment of QSAR models of environmental toxicity against Tetrahymena pyriformis: focusing on applicability domain and overfitting by variable selection

21 January 2018

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New pyrido[3,4-b]pyrazine-based sensitizers for efficient and stable dye-sensitized solar cells

21 January 2018

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Dye-Sensitized Solar Cells

21 January 2018

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Dye-sensitized solar cells: A brief overview

21 January 2018

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21 January 2018

Identifiers

DOI

10.1002/JCC.23886

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journals/jcc/LiZLGCGHLSL15

28 September 2017

DBLP publication ID

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DBLP Dataset 2021-01-02

28 January 2021

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