Accurate quantitative structure-property relationship analysis for prediction of nematic transition temperatures in thermotropic liquid crystals

Molecular Simulation

Volumn 36, Issue 1, 2010, Pages 26-34

  Xu, Jie ^a   Wang, Luoxin ^a   Zhang, Hui ^a   Yi, Changhai ^a   Xu, Weilin ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

ANN; MLRA; Nematic transition temperature; QSPR; Thermotropic liquid crystals

Indexed keywords

ANN; ARTIFICIAL NEURAL NETWORKS; DESCRIPTORS; LINEAR MODEL; MEAN RELATIVE ERROR; MULTI-LINEAR REGRESSION; NEMATIC TRANSITIONS; NON-LINEAR MODEL; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; SQUARED CORRELATION COEFFICIENTS; STANDARD ERRORS; TEST SETS;

CRYSTAL STRUCTURE; CRYSTALS; LIQUID CRYSTALS; LIQUIDS; NEMATIC LIQUID CRYSTALS; NEURAL NETWORKS; REGRESSION ANALYSIS; STATISTICAL TESTS; SULFUR COMPOUNDS; SUPERCONDUCTING TRANSITION TEMPERATURE;

THERMOTROPIC LIQUID CRYSTALS;

EID: 74549172532     PISSN: 08927022     EISSN: 10290435     Source Type: Journal    
DOI: 10.1080/08927020903096064     Document Type: Article

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