Challenges and opportunities of polymer design with machine learning and high throughput experimentation-Reference-Cited by-同舟云学术

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Challenges and opportunities of polymer design with machine learning and high throughput experimentation

Published:2019-06 Issue:2 Volume:9 Page:537-544
ISSN:2159-6859
Container-title:MRS Communications
language:en
Short-container-title:MRS Communications

Author:

Kumar Jatin N.,Li Qianxiao,Jun Ye

Funder

AME Programmatic Fund by the Agency for Science, Technology and Research

Publisher

Springer Science and Business Media LLC

Subject

General Materials Science

Link

http://link.springer.com/content/pdf/10.1557/mrc.2019.54.pdf

Reference41 articles.

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2. S.J. Garcia: Effect of polymer architecture on the intrinsic self-healing character of polymers. Eur. Polym. J. 53, 118 (2014).

3. A.C. Rinkenauer, S. Schubert, A. Traeger and U.S. Schubert: The influence of polymer architecture on in vitro pDNA transfection. J. Mater. Chem. B 3, 7477 (2015).

4. A. Dag, M. Callari, H. Lu and M.H. Stenzel: Modulating the cellular uptake of platinum drugs with glycopolymers. Polymer Chemistry 7, 1031 (2016).

5. D. Paramelle, S. Gorelik, Y. Liu and J. Kumar: Photothermally responsive gold nanoparticle conjugated polymer-grafted porous hollow silica nanocapsules. Chem. Commun. 52, 9897 (2016).

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