2026/01/01 by Jorge Pardos, Jorge Gonzalo, P. Merino +1 · 1 voice
Chemistry · Computer Science · Materials Science · #Crystallography and molecular interactions #Computational Drug Discovery Methods #Machine Learning in Materials Science
paper · pdf · doi:10.1039/d5dt02699g
openalex publication_date 2026/01/01 · openalex created_date 2026/02/17 · openalex updated_date 2026/07/22
in ALMO-EDA, DDEC6 bond orders, and 3c-4e bonding percentages. In all cases, it outperforms bare interatomic distances, transforming scattered trends into linear relationships. The penetration index thus offers a robust, low-cost, and transferable structural metric that correlates with covalency-related bonding terms for both covalent and noncovalent interactions.