Incorporation of density scaling constraint in density functional design via contrastive representation learning
/ Authors
/ Abstract
In a data-driven paradigm, machine learning (ML) is the central component for developing accurate and universal exchange-correlation (XC) functionals in density functional theory (DFT). It is well known that XC...
Journal: Digital Discovery
DOI: 10.1039/d3dd00114h