“Artificial Neural Networks and vdW-DF2 Functional Improve Simulation Accuracy of Carbon Monoxide Adsorption on Copper (110) Surfaces”

https://pubmed.ncbi.nlm.nih.gov/38095204

This study uses artificial neural networks and the vdW-DF2 functional to improve the accuracy of simulations describing the dynamics of carbon monoxide adsorption on copper (110) surfaces, better matching experimental data.