ALF is a new function derived from the ideal free energy in MDFT that quantifies local angular order of solvent molecules, providing complementary information to polarization and charge density.
Takahashi
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Equivariant neural networks for 2D Q-tensor prediction in nematic liquid crystals achieve lower errors and better generalization than non-equivariant models while satisfying symmetry constraints.
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The Angular Localization Function (ALF): a practical tool to measure solvent angular order with Molecular Density Functional Theory
ALF is a new function derived from the ideal free energy in MDFT that quantifies local angular order of solvent molecules, providing complementary information to polarization and charge density.
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On the Equivariant Learning of the $Q$-tensor Order Parameter
Equivariant neural networks for 2D Q-tensor prediction in nematic liquid crystals achieve lower errors and better generalization than non-equivariant models while satisfying symmetry constraints.