Band Excitation Piezoresponse Force Microscopy of PbZr_0.2Ti_0.8O₃

<p>Film grown and measurements conducted by Joshua C. Agar at Oak Ridge National Laboratory</p> <p>&nbsp;</p> <p>This dataset has been the subject of 4 manuscripts:</p> <p>&nbsp;</p> <p>1. Agar, J., Damodaran, A. R., Pandya, S., C, Cao, Y., Vasudevan, R. K., Xu, R., Saremi, S., Li, Q., Kim, J., McCarter, M. R., Dedon, L. R., Angsten, T., Balke, N., Jesse, S., Asta, M., Kalinin, S. V. &amp; Martin, L. W. Three-State Ferroelastic Switching and Large Electromechanical Responses in PbTiO&lt;sub&gt;3 Thin Films. Adv. Mater. 29, 1702069 (2017). [doi:10.1002/adma.201702069](https://onlinelibrary.wiley.com/doi/10.1002/adma.201702069)</p> <p>2. Agar, J. C., Cao, Y., Naul, B., Pandya, S., van der Walt, S., Luo, A. I., Maher, J. T., Balke, N., Jesse, S., Kalinin, S. V., Vasudevan, R. K. &amp; Martin, L. W. Machine detection of enhanced electromechanical energy conversion in PbZr&lt;sub&gt;0.2&lt;/sub&gt;Ti&lt;sub&gt;0.8&lt;/sub&gt;O&lt;sub&gt;3&lt;/sub&gt; thin films. Adv. Mater. 30, e1800701 (2018). [doi:10.1002/adma.201800701](https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.201800701)</p> <p>3. Griffin, L. A., Gaponenko, I. &amp; Bassiri-Gharb, N. Better, Faster, and Less Biased Machine Learning: Electromechanical Switching in Ferroelectric Thin Films. Adv. Mater. e2002425 (2020). [doi:10.1002/adma.202002425](https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202002425)</p> <p>4. Qin, S., Guo, Y., Kaliyev, A. T. &amp; Agar, J. C. Why it is Unfortunate that Linear Machine Learning &lsquo;Works&rsquo; so well in Electromechanical Switching of Ferroelectric Thin Films. Adv. Mater. e2202814 (2022). [doi:10.1002/adma.202202814](https://onlinelibrary.wiley.com/doi/10.1002/adma.202202814)</p>