Matrix Hub (ICPSR doi:10.26165/JUELICH-DATA/BKJOES)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

Matrix Hub

Identification Number:

doi:10.26165/JUELICH-DATA/BKJOES

Distributor:

Jülich DATA

Date of Distribution:

2026-03-06

Version:

1

Bibliographic Citation:

Di Napoli, Edoardo; Wu, Xinzhe, 2026, "Matrix Hub", https://doi.org/10.26165/JUELICH-DATA/BKJOES, Jülich DATA, V1

Study Description

Citation

Title:

Matrix Hub

Subtitle:

Matrix collections extracted from Materials Science simulation codes

Identification Number:

doi:10.26165/JUELICH-DATA/BKJOES

Authoring Entity:

Di Napoli, Edoardo (Forschungszentrum Jülich)

Wu, Xinzhe (Forschungszentrum Jülich)

Other identifications and acknowledgements:

Di Napoli, Edoardo

Other identifications and acknowledgements:

Wu, Xinzhe

Other identifications and acknowledgements:

Richefort, Clement

Producer:

Di Napoli, Edoardo

Wu, Xinzhe

Richefort, Clement

Schleife, Andre

Ferretti, Andrea

Software used in Production:

FLEUR

Software used in Production:

UIUC BSE code

Software used in Production:

FHI-aims

Software used in Production:

Yambo

Grant Number:

slai

Grant Number:

HANAMI

Distributor:

Jülich DATA

Distributor:

Wu, Xinzhe

Access Authority:

Di Napoli, Edoardo

Access Authority:

Wu, Xinzhe

Depositor:

Di Napoli, Edoardo

Date of Deposit:

2026-02-04

Date of Distribution:

2026-02-04

Study Scope

Keywords:

Chemistry, Computer and Information Science, Mathematical Sciences, Physics, Algebraic eigenvalue problem, Hermitian matrix, Psedo-Hermitian matrix

Abstract:

Incremental dataset that includes algebraic matrices generated by a number of applications from Materials Science. The matrices are stored in a publicly accessible server. They can be easily accessed through a web interface 'MatrixHub' hosted on Github. The matrices can also be accessed directly by visiting the public server instead of accessing them through the MatrixHub interface. The purpose of this database of matrices is to provide medium to very large matrices to be utilized to benchmark numerical linear algebra routines. All matrices in the set have been generated with well-known and openly available simulation codes (see Software field). The matrix set includes Hermitian and pseudo-Hermitian square matrices of large sizes (from few thousands to hundreds of thousands). All the matrices represent Hamiltonians of quantum mechanical systems generated by either Density Functional Theory (DFT) methods or Bethe-Salpeter equation (BSE) methods. The matrices generated from BSE can be either Hermitian or pseudo-Hermitian. All matrices from DFT are Hermitian.

Kind of Data:

Other

Methodology and Processing

Sources Statement

Data Access

Notes:

CC0 Waiver

Other Study Description Materials

Other Study-Related Materials

Label:

SHA256SUMS.txt

Text:

Checksums for each single matrix in the database

Notes:

text/plain