Machine learning for heterogeneous catalyst design and discovery-Reference-Cited by-同舟云学术

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Machine learning for heterogeneous catalyst design and discovery

Published:2018-05-25 Issue:7 Volume:64 Page:2311-2323
ISSN:0001-1541
Container-title:AIChE Journal
language:en
Short-container-title:AIChE J.

Author:

Goldsmith Bryan R.¹,Esterhuizen Jacques¹,Liu Jin‐Xun¹,Bartel Christopher J.²,Sutton Christopher³

Affiliation:

1. Dept. of Chemical EngineeringUniversity of MichiganAnn Arbor MI 48109‐2136

2. Dept. of Chemical and Biological EngineeringUniversity of Colorado BoulderBoulder CO 80309

3. Fritz‐Haber‐Institut der Max‐Planck‐Gesellschaft, Theory Dept., Faradayweg 4‐6Berlin D‐14195 Germany

Funder

Alexander von Humboldt Foundation

Publisher

Wiley

Subject

General Chemical Engineering,Environmental Engineering,Biotechnology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.16198

Reference123 articles.

1. Mastering the game of Go without human knowledge

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

3. Accelerating the discovery of materials for clean energy in the era of smart automation

4. Data science: Accelerating innovation and discovery in chemical engineering

5. FriedmanJ HastieT TibshiraniR.The Elements of Statistical Learning Vol.1. Springer series in statistics New York 2001.

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