Cross-diffusion effects on a morphochemical model for electrodeposition

Lacitignola, Deborah; Bozzini, Benedetto; Peipmann, Ralf; Sgura, Ivonne

doi:10.1016/j.apm.2018.01.005

Cited by 19 publications

(6 citation statements)

References 41 publications

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“…Figure 8 Quantitative details, highlighting in-depth changes, can be more evidently pinpointed by averaging over space, as shown in Figure 9. Our results confirm the alloy electrodeposition mechanism proposed in [26] and further validates the mathematical DIB model of electrochemical pattern formation, recently developed in our group ( [37,38] and references therein). More specifically, the present results provide additional support of the model capability of predicting complex spiral-based morphologies.…”

Section: In-depth Analysis Of Ag-in Ex Situ Electrodeposited Alloys Exhibiting a Dynamic Pattern Formation Mechanismsupporting

confidence: 90%

Spatially Resolved XPS Characterization of Electrochemical Surfaces

et al. 2019

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Synchrotron-based scanning photoelectron microscopy (SPEM) has opened unique opportunities for exploiting processes occurring at surfaces and interfaces, which control the properties of materials for electrochemical devices, where issues of chemical and morphological complexity at microscopic length scales should be faced and understood. The present article aims to demonstrate the present capabilities of SPEM to explore the surface composition of micro- and nano-structured materials, focusing on cases relevant to electrochemical technologies. We report and discuss a selection of recent results about three different systems, targeting hot topics in the fields of electrochemical energy storage and electrochemical fabrication: (i) an in-depth analysis of Ag-In electrodeposited alloys exhibiting dynamic pattern formation, (ii) the analysis of electrochemical processes at the electrodes of a self-driven solid oxide fuel cell and (iii) an operando characterization of a single-chamber solid oxide fuel cell. The last example has been performed at near-ambient pressure conditions using a unique specially designed setup which extends the traditional capabilities of scanning photoemission microscopes in the ultra-high and high-vacuum regimes to operating conditions that are closer to realistic ones, contributing to overcome the so-called “pressure gap”.

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Section: In-depth Analysis Of Ag-in Ex Situ Electrodeposited Alloys Exhibiting a Dynamic Pattern Formation Mechanismsupporting

confidence: 90%

Spatially Resolved XPS Characterization of Electrochemical Surfaces

et al. 2019

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“…The specific typologies of Turing patterns and hence their spatial structure have been found solving the direct problem by means of several numerical simulations performed by sampling the R T region with several values of the parameter couples pC, Bq, as reported in [21]. In Figure 1 Figure 1 shows the Turing region R T in the parameter space pC, Bq corresponding to the diffusion parameter d " 20; it is worth noting that the size of the Turing region R T increases for larger values of d. Recently, the results concerning Turing pattern formation for the morphochemical model have been extended in [44] to the case of the RD-PDE system defined on a sphere, and in [45] to account for cross-diffusion terms.…”

Section: Bifurcation Diagrammentioning

confidence: 77%

Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation

Sgura

Lawless

Bozzini

2018

Inverse Problems in Science and Engineering

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Article Accepted VersionSgura, I., Lawless, A. S. and Bozzini, B. (2019) Parameter estimation for a morphochemical reactiondiffusion model of electrochemical pattern formation. ABSTRACTThe process of electrodeposition can be described in terms of a reaction-diffusion PDE system that models the dynamics of the morphology profile and the chemical composition. Here we fit such a model to the different patterns present in a range of electrodeposited and electrochemically modified alloys using PDE constrained optimization. Experiments with simulated data show how the parameter space of the model can be divided into zones corresponding to the different physical patterns by examining the structure of an appropriate cost function. We then use real data to demonstrate how numerical optimization of the cost function can allow the model to fit the rich variety of patterns arising in experiments. The computational technique developed provides a potential tool for tuning experimental parameters to produce desired patterns.

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“…A key role in the harmonization of electrochemical and X-ray microtomographic data will be played by mathematical modelling, specifically targeting phase formation in space and time: this has been shown by our group to be feasible in two ways: through the DIB theoretical framework [10][11][12][13] and with the simulation of electrochemical time-series resulting from cell-cycling [2,14]. Modelling cycling time-series with this approach via non-linear least-squares, is indeed feasible, but extremely heavy [15,16] and can hardly be employed systematically and in cases that expand beyond specific cases.…”

Section: Discussionmentioning

confidence: 99%

X-ray microtomographic studies of the shape change of rechargeable Zn battery anodes

Bozzini¹,

Rossi²,

Sodini³

et al. 2022

eJNDT

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Although disposable Zn-based batteries have been developed into widespread commercial devices decades ago, successful applications of rechargeable Zn batteries are still hindered by various technical drawbacks, a crucial one being limited cycle-life, due to uncontrolled morphology changes of the anode upon applying discharge/charge sequences. In this work, we report a systematic post mortem and in situ X-ray computed microtomography-based investigation of Zn electrode cycling for traditional and innovative electrolyte chemistries and electrode configurations, at current densities and depths of discharge of practical interest. 3D imaging of intact cells revealed unprecedented morphochemical details of anode shape change that could be explicitly modelled and systematically correlated with operating conditions.

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Cross-diffusion effects on a morphochemical model for electrodeposition

Cited by 19 publications

References 41 publications

Spatially Resolved XPS Characterization of Electrochemical Surfaces

Spatially Resolved XPS Characterization of Electrochemical Surfaces

Parameter estimation for a morphochemical reaction-diffusion model of electrochemical pattern formation

X-ray microtomographic studies of the shape change of rechargeable Zn battery anodes

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