Water dissociation on pristine low-index TiO2 surfaces

• Published in: arXiv.org
• Main Authors: Zeng, Zezhu, Wodaczek, Felix, Liu, Keyang, Stein, Frederick, Hutter, Jürg, Chen, Ji, Cheng, Bingqing
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 13.03.2023
• Subjects: Algorithms; Anatase; Density; Machine learning; Molecular absorption; Physics - Chemical Physics; Physics - Materials Science; Rutile; Surface chemistry; Titanium dioxide; Water absorption
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2303.07433

Water absorption and dissociation processes on pristine low-index TiO\(_2\) interfaces are important but poorly understood outside the well-studied anatase (101) and rutile (110). To understand these, we construct three sets of machine learning potentials that are simultaneously applicable to various TiO\(_2\) surfaces, based on three density-functional-theory approximations. We compute the water dissociation free energies on seven pristine TiO\(_2\) surfaces, and predict that anatase (100), anatase (110), rutile (001), and rutile (011) surfaces favor water dissociation, anatase (101) and rutile (100) surfaces have mostly molecular absorption, while the calculated dissociation fraction on rutile (110) surface may depend on the density functional assumed. Moreover, using an automated algorithm, we reveal that these surfaces follow different types of atomistic mechanisms for proton transfer and water dissociation: one-step, two-step, or both. Our finding thus demonstrates that the different pristine TiO\(_2\) surfaces react with water in distinct ways, and cannot be represented using just the low-energy anatase (101) and rutile (110) surfaces.