Prediction and optimization of epoxy adhesive strength from a small dataset through active learning-Reference-Cited by-同舟云学术

Prediction and optimization of epoxy adhesive strength from a small dataset through active learning

Published:2019-10-21 Issue:1 Volume:20 Page:1010-1021
ISSN:1468-6996
Container-title:Science and Technology of Advanced Materials
language:en
Short-container-title:Science and Technology of Advanced Materials

Author:

Pruksawan Sirawit¹²,Lambard Guillaume³,Samitsu Sadaki¹,Sodeyama Keitaro³,Naito Masanobu¹²⁴

Affiliation:

1. Data-driven Polymer Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan

2. Program in Materials Science and Engineering, Graduate School of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan

3. Energy Materials Design Group, Research and Services Division of Materials Data and Integrated System (MaDIS), National Institute for Materials Science (NIMS), Tsukuba, Japan

4. Department of Advanced Materials Science, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Japan

Funder

Japan Science and Technology Agency

Publisher

Informa UK Limited

Subject

General Materials Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/14686996.2019.1673670

Reference35 articles.

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2. Machine learning for molecular and materials science

3. Accelerating materials property predictions using machine learning

4. Accelerated search for materials with targeted properties by adaptive design

5. Accelerated Discovery of Large Electrostrains in BaTiO 3 ‐Based Piezoelectrics Using Active Learning

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