Nature Communications (Nov 2022)
Releasing chemical energy in spatially programmed ferroelectrics
- 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
Affiliations
- Yong Hu
- Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York
- Jennifer L. Gottfried
- Weapons and Materials Research Directorate, US Army Combat Capabilities Development-Army Research Laboratory, Aberdeen Proving Ground
- Rose Pesce-Rodriguez
- Weapons and Materials Research Directorate, US Army Combat Capabilities Development-Army Research Laboratory, Aberdeen Proving Ground
- Chi-Chin Wu
- Weapons and Materials Research Directorate, US Army Combat Capabilities Development-Army Research Laboratory, Aberdeen Proving Ground
- Scott D. Walck
- Survice Engineering Co.
- Zhiyu Liu
- Department of Mechanical Engineering, University of Maryland
- Sangeeth Balakrishnan
- Department of Mechanical Engineering, University of Maryland
- Scott Broderick
- Department of Materials Design and Innovation, University at Buffalo, The State University of New York
- Zipeng Guo
- Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York
- Qiang Zhang
- Neutron Scattering Division, Oak Ridge National Laboratory
- Lu An
- Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York
- Revant Adlakha
- Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York
- Mostafa Nouh
- Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York
- Chi Zhou
- Department of Industrial and Systems Engineering, University at Buffalo, The State University of New York
- Peter W. Chung
- Department of Mechanical Engineering, University of Maryland
- Shenqiang Ren
- Department of Mechanical and Aerospace Engineering, University at Buffalo, The State University of New York
- DOI
- https://doi.org/10.1038/s41467-022-34819-z
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 9
Abstract
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.
