Known problems

• Overcompleteness of basis functions

  When a large number of basis functions is used for dense bulk systems with fcc, hcp, and bcc like structures, the basis set tends to be overcomplete. In such a case, you may observe erratic eigenvalues. To avoid the overcompleteness, a small number of optimized basis functions should be used.

• Instability of lapack routines for high symmetry systems

  For a system with a highly symmetric structure, the lapack diagonalization routines may fail to find the correct eigenvectors. while this phenomenon strongly depends on the computational environment. For such a case, try to find a nicely working routine by 'scf.lapack.dste'.

• Difficulty in getting the SCF convergence

  For large-scale systems with a complex (non-collinear) magnetic structure, a metallic electric structure, or the mixture, it is quite difficult to get the SCF convergence. In such a case, one has to mix the charge density very slowly, indicating that the number of SCF steps to get the convergence becomes large unfortunately.

• Difficulty in getting the optimized structure

  For weak interacting systems such as molecular systems, it is not easy to obtain a completely optimized structure, leading that the large number of iteration steps is required. Although the default value of criterion for geometrical optimization is $10^{-4}$ Hartree/bohr for the largest force, it would be a compromise to increase the criterion from $10^{-4}$ to $5 \times 10^{-4}$ in such a case.