Multi‐Layer Feature Selection Incorporating Weighted Score‐Based Expert Knowledge toward Modeling Materials with Targeted Properties-Reference-Cited by-同舟云学术

Multi‐Layer Feature Selection Incorporating Weighted Score‐Based Expert Knowledge toward Modeling Materials with Targeted Properties

Published:2020-01-15 Issue:2 Volume:3 Page:1900215
ISSN:2513-0390
Container-title:Advanced Theory and Simulations
language:en
Short-container-title:Adv. Theory Simul.

Author:

Liu Yue¹^ORCID,Wu Jun‐Ming¹,Avdeev Maxim²³,Shi Si‐Qi⁴

Affiliation:

1. School of Computer Engineering and Science, Shanghai Institute for Advanced Communication and Data ScienceShanghai University Shanghai 200444 China

2. Australian Nuclear Science and Technology OrganisationLocked Bag 2001 Kirrawee DC NSW 2232 Australia

3. School of ChemistryThe University of Sydney Sydney 2006 Australia

4. School of Materials Science and Engineering, Materials Genome InstituteShanghai University Shanghai 200444 China

Funder

National Basic Research Program of China

Publisher

Wiley

Subject

Multidisciplinary,Modelling and Simulation,Numerical Analysis,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adts.201900215

Reference36 articles.

1. Applying machine learning techniques to predict the properties of energetic materials

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3. An approach for the aging process optimization of Al–Zn–Mg–Cu series alloys

4. Controlling an organic synthesis robot with machine learning to search for new reactivity

5. Finding Density Functionals with Machine Learning

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