Ionic liquids: prediction of their melting points by a recursive neural network model†
Abstract
A recursive neural network (RNN) was used to predict the melting points of several pyridinium-based
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* Corresponding authors
a
Department of Bioorganic Chemistry and Biopharmacy, University of Pisa, via Bonanno Pisano 33, Pisa, Italy
E-mail:
bini@farm.unipi.it, cinziac@farm.unipi.it
Fax: +39 050 2219660
b
Department of Chemistry and Industrial Chemistry, University of Pisa, via Risorgimento 35, Pisa, Italy
E-mail:
celia@dcci.unipi, mrt@dcci.unipi.itrosola@dcci.unipi.it
c
Department of Informatics, University of Pisa, Largo B. Pontecorvo 3, Pisa, Italy
E-mail:
micheli@di.unipi.it, starita@di.unipi.it
A recursive neural network (RNN) was used to predict the melting points of several pyridinium-based
R. Bini, C. Chiappe, C. Duce, A. Micheli, R. Solaro, A. Starita and M. R. Tiné, Green Chem., 2008, 10, 306 DOI: 10.1039/B708123E
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