Polymer Genome: A Data-Powered Polymer Informatics Platform for Property Predictions

Author:

Kim Chiho1,Chandrasekaran Anand1,Huan Tran Doan2ORCID,Das Deya1,Ramprasad Rampi1ORCID

Affiliation:

1. School of Materials Science and Engineering, Georgia Institute of Technology, 771 Ferst Drive NW, Atlanta, Georgia 30332, United States

2. Department of Materials Science and Engineering and Institute of Materials Science, University of Connecticut, 97 North Eagleville Road, Storrs, Connecticut 06269-3136, United States

Funder

Office of Naval Research

Toyota Research Institute

Publisher

American Chemical Society (ACS)

Subject

Surfaces, Coatings and Films,Physical and Theoretical Chemistry,General Energy,Electronic, Optical and Magnetic Materials

Reference68 articles.

1. Krizhevsky, A.; Sutskever, I.; Hinton, G. E. ImageNet Classification with Deep Convolutional Neural Networks. Proceedings of the 25th International Conference on Neural Information Processing Systems; Curran Associates Inc.: Lake Tahoe, NV, 2012; Volume 1; pp 1097–1105.

2. Molecular graph convolutions: moving beyond fingerprints

3. druGAN: An Advanced Generative Adversarial Autoencoder Model for de Novo Generation of New Molecules with Desired Molecular Properties in Silico

4. Scoping the polymer genome: A roadmap for rational polymer dielectrics design and beyond

5. Machine learning in materials informatics: recent applications and prospects

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