Skala is a neural XC functional trained on wavefunction data that beats state-of-the-art hybrids on main-group chemistry benchmarks at semi-local computational cost.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
citation-role summary
background 1
citation-polarity summary
verdicts
UNVERDICTED 2roles
background 1polarities
unclear 1representative citing papers
Chemo-hydrodynamic waves drive the quasi-1D self-propulsion of an asymmetrically catalase-coated MXene sheet in H2O2, with the driving force identified as surface shear stress from the waves.
citing papers explorer
-
Accurate and scalable exchange-correlation with deep learning
Skala is a neural XC functional trained on wavefunction data that beats state-of-the-art hybrids on main-group chemistry benchmarks at semi-local computational cost.
-
Quasi-one-dimensional motion of an active MXene sheet driven by chemo-hydrodynamic waves
Chemo-hydrodynamic waves drive the quasi-1D self-propulsion of an asymmetrically catalase-coated MXene sheet in H2O2, with the driving force identified as surface shear stress from the waves.