Abstract
A molecular-level understanding of the effects of ambient organic compounds on the wettability of titanium dioxide ((Formula presented.)) surfaces is relevant to many of its energy-related and environmental applications. Herein, we focus on two common atmospheric carboxylic acids, formic and acetic acid, and characterize their adsorption/ desorption at the aqueous interfaces of anatase and rutile (Formula presented.) using molecular dynamics with an ab initio deep neural network potential. Our simulations show that these acids prefer to be localized in the interfacial water layers close to the (Formula presented.) surface where they are stabilized by the interaction/exchange of their acid proton with a surface oxygen, rather than chemisorb at the surface Ti sites by displacing the adsorbed water. Notably, these acids make the surface of anatase hydrophobic, whereas the larger fraction of adsorbed water dissociation can offset their effect on rutile. These results provide a picture where carboxylic acids control the wettability of (Formula presented.) largely through acid-base chemistry at the interface rather than chemisorption on the oxide surface, a finding that can help improve the design of self-cleaning surfaces and photocatalytic devices.
| Original language | English (US) |
|---|---|
| Article number | e202507721 |
| Journal | Angewandte Chemie - International Edition |
| Volume | 64 |
| Issue number | 33 |
| DOIs | |
| State | Published - Aug 11 2025 |
All Science Journal Classification (ASJC) codes
- Catalysis
- General Chemistry
Keywords
- Computational chemistry
- Machine learning
- Molecular dynamics
- Surface Wettability
- Water-oxide interfaces