QH-9
Emerging4papers using it
2025first seen
The QH9 dataset is a benchmark used to evaluate the performance of machine learning Hamiltonian models in predicting energies and forces in molecular systems.
Papers using QH-9 (4)
- High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian PredictionMachine Learning Hamiltonians are Accurate Energy-Force PredictorsEfficient Prediction of SO(3)-Equivariant Hamiltonian Matrices via SO(2) Local FramesEfficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity