| Autor: |
Yong Hu, Jennifer L. Gottfried, Rose Pesce-Rodriguez, Chi-Chin Wu, Scott D. Walck, Zhiyu Liu, Sangeeth Balakrishnan, Scott Broderick, Zipeng Guo, Qiang Zhang, Lu An, Revant Adlakha, Mostafa Nouh, Chi Zhou, Peter W. Chung, Shenqiang Ren |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
|
| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-34819-z |
| Popis: |
Chemical energy ferroelectrics show limited control of the energy release rate. Here, the authors design spatially programmed energetic ferroelectrics with controlled energy release rates from machine learning-directed additive manufacturing and ice-templating assembly. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
Full text from SpringerLink