Accelerated Discovery of Large Electrostrains in BaTiO 3 ‐Based Piezoelectrics Using Active Learning-Reference-Cited by-同舟云学术

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

Published:2018-01-08 Issue:7 Volume:30 Page:1702884
ISSN:0935-9648
Container-title:Advanced Materials
language:en
Short-container-title:Adv. Mater.

Author:

Yuan Ruihao¹,Liu Zhen²,Balachandran Prasanna V.²,Xue Deqing¹,Zhou Yumei¹,Ding Xiangdong¹,Sun Jun¹,Xue Dezhen¹,Lookman Turab²

Affiliation:

1. State Key Laboratory for Mechanical Behavior of Materials Xi'an Jiaotong University Xi'an 710049 China

2. Theoretical Division Los Alamos National Laboratory Los Alamos NM 87545 USA

Funder

National Natural Science Foundation of China

Laboratory Directed Research and Development

Publisher

Wiley

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/adma.201702884

Reference45 articles.

1. Materials Genome Initiative for Global Competitiveness https://www.whitehouse.gov/sites/default/files/microsites/ostp/materials_genome_initiativefinal(accessed: June 2017).

2. Machine-learning-assisted materials discovery using failed experiments

3. Statistical inference and adaptive design for materials discovery

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

5. Rational Co-Design of Polymer Dielectrics for Energy Storage

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