C-2DB

C2DB is a dataset that contains information on 721 two-dimensional materials and is used to evaluate machine learning models for predicting excited-state properties, such as quasiparticle energies and exciton characteristics.

Papers using C-2DB (2)

MBFormer: A General Transformer-based Learning Paradigm for Many-body Interactions in Real Materials2025 · 1 citesAtomistic Generative Diffusion for Materials Modeling2025