Maximizing Information: A Machine Learning Approach for Analysis of Complex Nanoscale Electromechanical Behavior.

Sabine Neumayer (Contributor)
Fengyuan Zhang (Contributor)
Nazanin Bassiri-Gharb (Contributor)
David Edwards (Contributor)
Amit Kumar (Contributor)
Aaron Naden (Contributor)
Brian Rodriguez (Contributor)
Kerisha Williams (Contributor)
Yulian Yao (Contributor)

School of Chemistry

Dataset

1 results

2021
Maximizing information: a machine learning approach for analysis of complex nanoscale electromechanical behavior in defect-rich PZT films
Zhang, F., Williams, K. N., Edwards, D., Naden, A. B., Yao, Y., Neumayer, S. M., Kumar, A., Rodriguez, B. J. & Bassiri-Gharb, N., 22 Oct 2021, (E-pub ahead of print) In: Small Methods. Early View, 11 p., 2100552.
Research output: Contribution to journal › Article › peer-review

Open Access
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