Matrix Hub
A collection of matrices from quantum chemistry, materials science, and computational physics (eigenvalue problems, linear systems, and more)
Matrix Hub
A collection of scientific matrices for benchmarking and numerical development of NLA libraries and solvers
Benchmarking
Access a diverse collection of matrices to evaluate and compare the performance of numerical linear algebra libraries and solvers
Development
Use real-world problems from scientific applications to test and improve numerical algorithms and solver implementations
Research
Explore eigenvalue and linear-system problems from various scientific domains to advance numerical linear algebra research and development
Matrix Categories
Explore matrices from different scientific simulations and calculations
DFT Matrices
Density Functional Theory matrices from FLEUR and FHI-aims, including FLAPW and NAOs methods
Browse DFT Matrices →BSE Matrices
Bethe-Salpeter Equation matrices from Jena BSE code and Yambo, available in various sizes and precisions
Browse BSE Matrices →System Types
Matrices from various physical systems including Silicon, MoS2, In2O3, and more, with different sizes and properties
Browse All Systems →Ready to Benchmark Your Eigensolver?
Access our collection of scientific matrices to evaluate and improve your numerical linear algebra implementations
Browse Matrices