Optimizing Piezoelectric Nanocomposites by High‐Throughput Phase‐Field Simulation and Machine Learning (Adv. Sci. 13/2022). Issue 13 (5th May 2022)
- Record Type:
- Journal Article
- Title:
- Optimizing Piezoelectric Nanocomposites by High‐Throughput Phase‐Field Simulation and Machine Learning (Adv. Sci. 13/2022). Issue 13 (5th May 2022)
- Main Title:
- Optimizing Piezoelectric Nanocomposites by High‐Throughput Phase‐Field Simulation and Machine Learning (Adv. Sci. 13/2022)
- Authors:
- Li, Weixiong
Yang, Tiannan
Liu, Changshu
Huang, Yuhui
Chen, Chunxu
Pan, Hong
Xie, Guangzhong
Tai, Huiling
Jiang, Yadong
Wu, Yongjun
Kang, Zhao
Chen, Long‐Qing
Su, Yuanjie
Hong, Zijian - Abstract:
- Abstract : Optimizing Piezoelectric Nanocomposites In article number 2105550, Tiannan Yang, Zhao Kang, Long‐Qing Chen, Yuanjie Su, Zijian Hong, and co‐workers conduct an integrated study with high‐throughput phase‐field simulations and machine learning to systematically reveal the influence of morphology and spatial orientation of an oxide filler on the effective piezoelectric properties of the polymer/ferroelectric oxide nanocomposites.
- Is Part Of:
- Advanced science. Volume 9:Issue 13(2022)
- Journal:
- Advanced science
- Issue:
- Volume 9:Issue 13(2022)
- Issue Display:
- Volume 9, Issue 13 (2022)
- Year:
- 2022
- Volume:
- 9
- Issue:
- 13
- Issue Sort Value:
- 2022-0009-0013-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2022-05-05
- Subjects:
- Science -- Periodicals
505 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)2198-3844 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/advs.202270084 ↗
- Languages:
- English
- ISSNs:
- 2198-3844
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 21354.xml