PET-UAFD ensemble of ML potentials, calibrated on experimental cohesive energies and moduli, matches experimental accuracy on liquid properties and supplies uncertainty estimates via the PET-EXP protocol.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
Element-Weighted KANs achieve state-of-the-art accuracy on formation energy, band gap, and work function while revealing periodic-table-aligned chemical trends through their learnable activation functions.
citing papers explorer
-
Errors that matter: Uncertainty-aware universal machine-learning potentials calibrated on experiments
PET-UAFD ensemble of ML potentials, calibrated on experimental cohesive energies and moduli, matches experimental accuracy on liquid properties and supplies uncertainty estimates via the PET-EXP protocol.
-
Interpretation of Crystal Energy Landscapes with Kolmogorov-Arnold Networks
Element-Weighted KANs achieve state-of-the-art accuracy on formation energy, band gap, and work function while revealing periodic-table-aligned chemical trends through their learnable activation functions.