Multi-Level Structural Descriptors for Deep Learning–Based Prediction of Hydrogen Storage in Metal–Organic Frameworks
Safe and efficient hydrogen storage is a critical barrier to realizing a carbon-neutral energy system. Metal–organic frameworks (MOFs) are promising candidates owing to their adjustable porosity and high surface areas, yet the vast compositional design space makes exhaustive molecular simulation impractical. We develop...