1. Local and correlated studies of humidity-mediated ferroelectric thin film surface charge dynamics
- Author
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Nazanin Bassiri-Gharb, Patrycja Paruch, Albert Verdaguer, Neus Domingo, Iaroslav Gaponenko, Nicolas Stucki, Loïc Musy, Swiss National Science Foundation, Ministerio de Ciencia, Innovación y Universidades (España), National Science Foundation (US), Gaponenko, Iaroslav, Musy, Loïc, Domingo, Neus, Bassiri-Gharb, Nazanin, Gaponenko, Iaroslav [0000-0002-9694-7033], Musy, Loïc [0000-0002-7741-6763], Domingo, Neus [0000-0002-5229-6638], and Bassiri-Gharb, Nazanin [0000-0002-0183-5160]
- Subjects
Ferroelectric thin-films ,Sensing applications ,Materials science ,Kelvin probe microscopy ,Passivation ,FOS: Physical sciences ,ddc:500.2 ,02 engineering and technology ,01 natural sciences ,QA76.75-76.765 ,0103 physical sciences ,General Materials Science ,Surface charge ,Computer software ,Electrochemical phenomenon ,Thin film ,Materials of engineering and construction. Mechanics of materials ,010302 applied physics ,Kelvin probe force microscope ,Condensed Matter - Materials Science ,Condensed matter physics ,Applied surface ,Thin film surfaces ,Materials Science (cond-mat.mtrl-sci) ,Dictionary learning ,Charge (physics) ,Dissipation ,Computational Physics (physics.comp-ph) ,021001 nanoscience & nanotechnology ,Ferroelectricity ,3. Good health ,Computer Science Applications ,Ferroelectric polarization ,Surface voltages ,Mechanics of Materials ,Modeling and Simulation ,TA401-492 ,0210 nano-technology ,Charge dynamics ,Physics - Computational Physics ,Voltage - Abstract
Electrochemical phenomena in ferroelectrics are of particular interest for catalysis and sensing applications, with recent studies highlighting the combined role of the ferroelectric polarisation, applied surface voltage and overall switching history. Here, we present a systematic Kelvin probe microscopy study of the effect of relative humidity and polarisation switching history on the surface charge dissipation in ferroelectric Pb(Zr0.2Ti0.8)O3 thin films. We analyse the interaction of surface charges with ferroelectric domains through the framework of physically constrained unsupervised machine learning matrix factorisation, Dictionary Learning, and reveal a complex interplay of voltage-mediated physical processes underlying the observed signal decays. Additional insight into the observed behaviours is given by a Fitzhugh–Nagumo reaction–diffusion model, highlighting the lateral spread and charge passivation process contributors within the Dictionary Learning analysis., The authors acknowledge Dr Sergei V. Kalinin of Oak Ridge National Laboratory, for helpful discussions about machine learning and the initial suggestion to explore reaction–diffusion modelling. This work was supported by Division II of the Swiss National Science Foundation under project 200021_178782. A.V. acknowledges support by the Spanish Government under the project PID2019-110907GB-I00 and the “Severo Ochoa” Program for Centres of Excellence in R&D (CEX2019-000917-S). N.D. acknowledges support by the Spanish Government under the project PID2019- 109931GB-I00. N.B.G. acknowledges support by the National Science Foundation under the project DMR-20269676. The authors would like to thank S. Muller for technical support., With funding from the Spanish government through the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000917-S).
- Published
- 2021