journal article·2022-07-07Open access

Thermodynamic Descriptors to Predict Oxide Formation in Aqueous Solutions

Lauren N. Walters, Emily L. Wang, James M. Rondinelli

Abstract

We formulate the maximum driving force (MDF) parameter as a descriptor to capture the thermodynamic stability of aqueous surface scale creation over a range of environmental conditions. We use free energies of formation, Δ f G ’s, sourced from high-throughput density functional theory (DFT) calculations and experimental databases to compute the maximum driving force for a range of materials, including oxides and hydroxides of varying compositions. We show how to use the MDF to describe trends in the aqueous corrosion of nickel thin films determined from experimental linear sweep voltammetry data. We also show how to account for subsurface oxidation behavior using depth-dependent effective chemical potentials. We anticipate this approach will increase the overall understanding of oxide formation on chemically complex multielement alloys, where competing oxide phases can form during transient aqueous corrosion.
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Research context

OpenAlex topics: Machine Learning in Materials Science · Hydrogen embrittlement and corrosion behaviors in metals · Corrosion Behavior and Inhibition

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States

Funding

Office of Naval Research · Division of Materials Research

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