Experiment-driven atomistic materials modeling: A case study combining X-ray photoelectron spectroscopy and machine learning potentials to infer the structure of oxygen-rich amorphous carbon (2024)
Attributed to:
CASTEP-USER: Predictive Materials Modelling For Experimental Scientists
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.48550/arxiv.2402.03219
Publication URI: https://arxiv.org/abs/2402.03219
Type: Other