Microstructure-driven mechanical and electromechanical phenomena in additively manufactured nanocrystalline zinc oxide
Abstract
Advances in nanoscale additive manufacturing (AM) offer great opportunities to expand nanotechnologies; however, the size effects in these printed remain largely unexplored. Using both in situ nanomechanical and electrical experiments and molecular dynamics (MD) simulations, this study investigates additively manufactured nano-architected nanocrystalline ZnO (nc-ZnO) with ∼7 nm grains and dimensions spanning 0.25–4 μm. These nano-scale ceramics are fabricated through printing and subsequent burning of metal ion-containing hydrogels to produce oxide structures. Electromechanical behavior is shown to result from random ordering in the microstructure and can be modeled through a statistical treatment. A size effect in the failure behavior of AM nc-ZnO is also observed and characterized by the changes in deformation behavior and suppression of brittle failure. MD simulations provide insights to the role of grain boundaries and grain boundary plasticity on both electromechanical behavior and failure mechanisms in nc-ZnO. The frameworks developed in this paper extend to other AM nanocrystalline materials and provide quantification of microstructurally-drive limitations to precision in materials property design.
Copyright and License
© 2023 IOP Publishing Ltd.
Acknowledgement
The authors would like to thank Dr Max Lifson and Michael Batchev for their assistance with the in situ testing apparatus; the Caltech Kavli Nanoscience institute for their support particularly in using the TEM; and Dr Bijan Mazaheri for his valuable discussions around statistical methods. Additionally, the use of computing resources at the A*STAR Computational Centre and National Supercomputer Centre, Singapore is gratefully acknowledged.
Funding
This work was supported by the U.S. Department of Energy, Office of Science, Basic Energy Sciences [Award No. DE-SC0016945]; U.S. Department of Energy, Office of Science, Quantum Information Sciences [Award No. DE-SC0019166]; the National Research Foundation, Singapore [Award No. NRF-CRP24–2020–0002]; the Singapore A*STAR SERC CRF Award.
Contributions
RAG and JRG conceived of the experiments. RAG synthesized samples, performed experiments, analyzed data, and formulated analytic the model and its application. AC-F, ZAH, and Y-WZ generated and analyzed the isolated grain boundary simulations. ZAH and Y-WZ generated and analyzed the polycrystalline simulations. All authors discussed the findings. RAG and ZAH wrote the manuscript. All authors edited and have given approval to the final version of the manuscript.
Data Availability
The data cannot be made publicly available upon publication because no suitable repository exists for hosting data in this field of study. The data that support the findings of this study are available upon reasonable request from the authors.
Conflict of Interest
None
Additional Information
Additional details
- ISSN
- 1361-6528
- United States Department of Energy
- DE-SC0016945
- United States Department of Energy
- DE-SC0019166
- National Research Foundation
- NRF-CRP24-2020-0002
- Agency for Science, Technology and Research