Research data supporting "Dielectrocapillarity for exquisite control of fluids"
Abstract
This directory contains the research data supporting the manuscript: "Dielectrocapillarity for exquisite control of fluids" Authors: Bui, Anna; Cox, Stephen Paper published at: Nature Communications Preprint: https://arxiv.org/abs/2503.09855 It contains source data for the figures in the manuscript, example simulation inputs and the training data for the neural density functionals. For detailed information of the dataset and models, please refer to the README.md files in the sub-directories and the manuscript. For script to train the models and do hyper-DFT calculations, see: https://github.com/annatbui/dielectrocapillarity-cdft
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 26 January 2026
- Document type
- Dataset