Selecting machine learning models for metallic nanoparticles-Reference-Cited by-同舟云学术

Selecting machine learning models for metallic nanoparticles

Published:2020-07-27 Issue:3 Volume:4 Page:035003
ISSN:2399-1984
Container-title:Nano Futures
language:
Short-container-title:Nano Futures

Author:

Barnard Amanda S^ORCID,Opletal George^ORCID

Publisher

IOP Publishing

Subject

Electrical and Electronic Engineering,General Materials Science,Biomedical Engineering,Atomic and Molecular Physics, and Optics,General Chemistry,Bioengineering

Link

https://iopscience.iop.org/article/10.1088/2399-1984/ab9c3b/pdf

Reference36 articles.

1. Combinatorial Materials Sciences: Experimental Strategies for Accelerated Knowledge Discovery

2. Commentary: The Materials Project: A materials genome approach to accelerating materials innovation

3. Information Science for Materials Discovery and Design

4. Atomistic calculations and materials informatics: A review

5. Perspectives on the Impact of Machine Learning, Deep Learning, and Artificial Intelligence on Materials, Processes, and Structures Engineering

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