Murat Sorkun (DIFFER - Dutch Institute for Fundamental Energy Research) (Ontwerper)
Séverin Astruc (Ontwerper)
J.M.V.A. (Vianney) Koelman (DIFFER - Dutch Institute for Fundamental Energy Research) (Ontwerper)
Süleyman Er (DIFFER - Dutch Institute for Fundamental Energy Research) (Ontwerper)
Dataset
Omschrijving
V2DB: A two-dimensional (2D) materials database, created by the Autonomous Energy Materials Discovery [AMD] research group, consists of 316,505 likely to be stable materials with AI predicted key properties (energy, electronic, and magnetic).
Sorkun, M. (Ontwerper), Astruc, S. (Ontwerper), Koelman, J. M. V. A. (Ontwerper), Er, S. (Ontwerper) (2020). V2DB: Virtual 2D Materials Database. Harvard Dataverse. 10.7910/DVN/SNCZF4