Surface charged species and electrochemistry of ferroelectric thin films

Domingo, Neus; Gaponenko, Iaroslav; Cordero‐Edwards, Kumara; Stucki, Nicolas; Pérez-Dieste, Virgínia; Escudero, Carlos; Pach, Elzbieta; Verdaguer, Albert; Paruch, Patrycja

doi:10.1039/c9nr05526f

Cited by 52 publications

(52 citation statements)

References 58 publications

(98 reference statements)

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“…Water molecules could also go through oxidative adsorption processes; for example, water molecules deprotonate to form -OH, which is then further oxidized to different types of surface oxygen species (*-O, *-O − O-*, etc.) 45 , 50 – 52 . In this work, the RHs were controlled by changing the sample temperature from 300 o C to 25 o C while maintaining the water vapor pressure at 1 mbar.…”

Section: Resultsmentioning

confidence: 99%

“…Therefore, the increase of hydroxyl group with RH was not due to the presence of oxygen vacancies on the surface. Considering that PBSCF is a good water oxidation catalyst 28 , 29 , it is more likely that the interaction of water molecules with PBSCF surfaces went through oxidative adsorption processes 45 , 50 – 52 . Under higher RH conditions, more water molecules can be adsorbed onto PBSCF surfaces, as evidenced by the higher H 2 O ads groups at higher RH.…”

Section: Resultsmentioning

confidence: 99%

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Tuning proton-coupled electron transfer by crystal orientation for efficient water oxidization on double perovskite oxides

et al. 2020

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Developing highly efficient and cost-effective oxygen evolution reaction (OER) electrocatalysts is critical for many energy devices. While regulating the proton-coupled electron transfer (PCET) process via introducing additive into the system has been reported effective in promoting OER activity, controlling the PCET process by tuning the intrinsic material properties remains a challenging task. In this work, we take double perovskite oxide PrBa 0.5 Sr 0.5 Co 1.5 Fe 0.5 O 5+δ (PBSCF) as a model system to demonstrate enhancing OER activity through the promotion of PCET by tuning the crystal orientation and correlated proton diffusion. OER kinetics on PBSCF thin films with (100), (110), and (111) orientation, deposited on single crystal LaAlO 3 substrates, were investigated using electrochemical measurements, density functional theory (DFT) calculations, and synchrotron-based near ambient X-ray photoelectron spectroscopy. The results clearly show that the OER activity and the ease of deprotonation depend on orientation and follow the order of (100) > (110) > (111). Correlated with OER activity, proton diffusion is found to be the fastest in the (100) film, followed by (110) and (111) films. Our results point out a way of boosting PCET and OER activity, which can also be successfully applied to a wide range of crucial applications in green energy and environment.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Tuning proton-coupled electron transfer by crystal orientation for efficient water oxidization on double perovskite oxides

et al. 2020

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“…Such a gradual hardening (increase of resonance frequency) as the experiment progresses is often observed in samples with accumulation of (tip-)injected charges, and resulting increase in global electrostatic effects between sample surface and cantilever. [43] As the k-means algorithm shows substantial susceptibility to changes in the mean values, the shifts in the mean resonance value are identified as unique behaviors.…”

Section: Ti 08 O 3 Thin Films Through Systematic Analysis and Intromentioning

confidence: 99%

Better, Faster, and Less Biased Machine Learning: Electromechanical Switching in Ferroelectric Thin Films

2020

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Machine‐learning techniques are more and more often applied to the analysis of complex behaviors in materials research. Frequently used to identify fundamental behaviors within large and multidimensional datasets, these techniques are strictly based on mathematical models. Thus, without inherent physical or chemical meaning or constraints, they are prone to biased interpretation. The interpretability of machine‐learning results in materials science, specifically materials’ functionalities, can be vastly improved through physical insights and careful data handling. The use of techniques such as dimensional stacking can provide the much needed physical and chemical constraints, while proper understanding of the assumptions imposed by model parameters can help avoid overinterpretation. These concepts are illustrated by application to recently reported ferroelectric switching experiments in PbZr0.2Ti0.8O3 thin films. Through systematic analysis and introduction of physical constraints, it is argued that the behaviors present are not necessarily due to exotic mechanisms previously suggested, but rather well described by classical ferroelectric switching superimposed by non‐ferroelectric phenomena, such as electrochemical deformation, electrostatic interactions, and/or charge injection.

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“…This buried nature results in a loss of information about the ferroelectric domain architecture when using conventional techniques such as PFM. The magnetic domain state of the top layer can, however, be accessed directly with scanning probe microscopy, see Figure 4a,b [93,94] or techniques such as magneto-optical Kerr effect (MOKE) or photoemission electron microscopy (PEEM) [95,96].…”

Section: Accessing the Domain State In Ferroic Multilayersmentioning

confidence: 99%

Design and Manipulation of Ferroic Domains in Complex Oxide Heterostructures

et al. 2019

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The current burst of device concepts based on nanoscale domain-control in magnetically and electrically ordered systems motivates us to review the recent development in the design of domain engineered oxide heterostructures. The improved ability to design and control advanced ferroic domain architectures came hand in hand with major advances in investigation capacity of nanoscale ferroic states. The new avenues offered by prototypical multiferroic materials, in which electric and magnetic orders coexist, are expanding beyond the canonical low-energy-consuming electrical control of a net magnetization. Domain pattern inversion, for instance, holds promises of increased functionalities. In this review, we first describe the recent development in the creation of controlled ferroelectric and multiferroic domain architectures in thin films and multilayers. We then present techniques for probing the domain state with a particular focus on non-invasive tools allowing the determination of buried ferroic states. Finally, we discuss the switching events and their domain analysis, providing critical insight into the evolution of device concepts involving multiferroic thin films and heterostructures.

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Surface charged species and electrochemistry of ferroelectric thin films

Abstract: Electrochemistry and surface water redox reactions on Pb(Zr0.2,Ti0.8)O3 ferroelectric thin films as a function of polarization and external electric field, as studied by AP-XPS and KPFM.

Cited by 52 publications

References 58 publications

Tuning proton-coupled electron transfer by crystal orientation for efficient water oxidization on double perovskite oxides

Tuning proton-coupled electron transfer by crystal orientation for efficient water oxidization on double perovskite oxides

Better, Faster, and Less Biased Machine Learning: Electromechanical Switching in Ferroelectric Thin Films

Design and Manipulation of Ferroic Domains in Complex Oxide Heterostructures

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