NEST: NEw Sparse maTrix dataset

NEST is a new sparse matrix dataset. Its purpose is to define a modern set of sparse matrices arising in relevant and actual scientific application in order to improve further sparse numerical methods. Nest can be seen as a continuity of the Sparse Matrix Market datasets and contain some curated sparse matrices from it as legacy references.

The matrices are stored as COO sparse matrices in scipy.sparse.npz archive format. Conversion utils to/from the matrix market format are provided.

TODO:

Quantum Transport

• Add OBC cell for cnt_cp2k as eigenvalue problem
• Add OBC cell for cnt_w90 as eigenvalue problem
• Add OBC cell for sinw_w90 as eigenvalue problem

Device Modeling

• Add right-hand side for kmc_potential_0
• Add right-hand side for kmc_potential_1