Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights-Reference-Cited by-同舟云学术

Machine Learning and Statistical Analysis for Materials Science: Stability and Transferability of Fingerprint Descriptors and Chemical Insights

Published:2017-05-04 Issue:10 Volume:29 Page:4190-4201
ISSN:0897-4756
Container-title:Chemistry of Materials
language:en
Short-container-title:Chem. Mater.

Author:

Pankajakshan Praveen¹,Sanyal Suchismita¹,de Noord Onno E.²,Bhattacharya Indranil³,Bhattacharyya Arnab³,Waghmare Umesh⁴^ORCID

Affiliation:

1. Shell India Markets Pvt. Ltd., Bangalore, India

2. Shell Global Solutions International B.V., The Hague, The Netherlands

3. Indian Institute of Science, Bangalore, India

4. Jawaharlal Nehru Center for Advanced Scientific Research (JNCASR), Bangalore, India

Funder

Jawaharlal Nehru Centre for Advanced Scientific Research

Shell

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.chemmater.6b04229

Reference47 articles.

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2. Machine-Learning-Augmented Chemisorption Model for CO2 Electroreduction Catalyst Screening

3. Accelerating materials property predictions using machine learning

4. NATO ASI, Ser. C;Wold S.,1984

5. Chemometric Methods in Molecular Design

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