Prediction of polymer properties using infinite chain descriptors (ICD) and machine learning: Toward optimized dielectric polymeric materials-Reference-Cited by-同舟云学术

Prediction of polymer properties using infinite chain descriptors (ICD) and machine learning: Toward optimized dielectric polymeric materials

Published:2016-08-02 Issue:20 Volume:54 Page:2082-2091
ISSN:0887-6266
Container-title:Journal of Polymer Science Part B: Polymer Physics
language:en
Short-container-title:J. Polym. Sci. Part B: Polym. Phys.

Author:

Wu K.¹,Sukumar N.¹²,Lanzillo N. A.¹,Wang C.³,“Rampi” Ramprasad Ramamurthy³,Ma R.⁴,Baldwin A. F.⁴,Sotzing G.⁴⁵,Breneman C.¹

Affiliation:

1. Department of Chemistry and Chemical Biology; Rensselaer Polytechnic Institute; 110 8th Street Troy New York 12180

2. Department of Chemistry and Center for Informatics; School of Natural Sciences, Shiv Nadar University; NH-91, Tehsil Dadri, Gautam Budh Nagar 201314 Uttar Pradesh India

3. Department of Materials Science and Engineering; University of Connecticut; Storrs Connecticut 06269

4. Polymer Program, Institute of Materials Science, University of Connecticut; Storrs Connecticut 06269

5. Deparment of Chemistry; University of Connecticut, Storrs; Connecticut 06269

Publisher

Wiley

Subject

Materials Chemistry,Polymers and Plastics,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/polb.24117/fullpdf

Reference58 articles.

1. MQSPR modeling in materials informatics: a way to shorten design cycles?

2. Stalking the Materials Genome: A Data-Driven Approach to the Virtual Design of Nanostructured Polymers

3. A review on the dielectric materials for high energy-storage application

4. Prediction of Glass Transition Temperatures for Polystyrenes by a Four-Descriptors QSPR Model

5. A New Group Contribution Scheme To Estimate the Glass Transition Temperature for Polymers and Diluents

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