SCF calculations of an optimized geometry is slow to converge

Thanks for the input, Dr. Misiewicz! I’ll try and do better with the stripping for further posts.

The combination in question is pbe/cc-pvtz. I’m using Psi4 version 1.5, and it was a specific build that solved angular momentum issues discussed in a previous post.
EDIT: I used basis_guess : def2-svp, so the combination was pbe/def2-sv(p). Furthermore, I also tried to up the iterations to 1000 and even then it did not converge. Here are some relevant snippets:

    Name: DEF2-SV(P)
    Role: ORBITAL
    Keyword: BASIS
    atoms 1     entry S          line   326 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
    atoms 2-4   entry O          line   128 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
    atoms 5-22  entry C          line    88 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
    atoms 23-51 entry H          line    15 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
    atoms 52    entry NA         line   188 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
    atoms 53    entry ZN         line   846 file /home/adhyatma/psi4conda/envs/psi4_1.5/share/psi4/basis/def2-sv_p_.gbs 
...
  ==> DFT Potential <==

   => Composite Functional: PBE <= 

    PBE GGA Exchange-Correlation Functional

    J.P. Perdew et. al., Phys. Rev. Lett., 77(18), 3865-3868, 1996
...
   @DF-UKS iter  32: -3265.05761768215962    1.60584e-02   1.00317e-03 DIIS
   @DF-UKS iter  33: -3265.08264670634344   -2.50290e-02   9.60217e-04 DIIS
   @DF-UKS iter  34: -3265.07084815900089    1.17985e-02   9.77088e-04 DIIS
   @DF-UKS iter  35: -3265.30469408711633   -2.33846e-01   5.15115e-04 DIIS
   @DF-UKS iter  36: -3265.07170782193043    2.32986e-01   1.01434e-03 DIIS
   @DF-UKS iter  37: -3265.06329221379929    8.41561e-03   1.02710e-03 DIIS
   @DF-UKS iter  38: -3265.06568918930770   -2.39698e-03   1.02564e-03 DIIS
   @DF-UKS iter  39: -3265.06223048741413    3.45870e-03   1.03078e-03 DIIS
   @DF-UKS iter  40: -3265.06386121152354   -1.63072e-03   1.02931e-03 DIIS
   @DF-UKS iter  41: -3265.06165336829145    2.20784e-03   1.03246e-03 DIIS
...
   @DF-UKS iter 998: -3265.06150554236046    2.72848e-12   1.03370e-03 DIIS
   @DF-UKS iter 999: -3265.06150554236137   -9.09495e-13   1.03370e-03 DIIS
   @DF-UKS iter 1000: -3265.06150554236319   -1.81899e-12   1.03370e-03 DIIS

PsiException: Could not converge SCF iterations in 1000 iterations.

As is shown, the RMS started to stagnate and never declined beyond ~1.03078e-03 DIIS.
Also, here’s my conda list below:

# Name                    Version                   Build  Channel
_libgcc_mutex             0.1                        main  
_openmp_mutex             5.1                       1_gnu  
ambit                     0.5.1                hbe8a562_1    psi4
attrs                     22.1.0           py39h06a4308_0  
blas                      1.0                         mkl  
bottleneck                1.3.5            py39h7deecbd_0  
ca-certificates           2023.01.10           h06a4308_0  
certifi                   2022.12.7        py39h06a4308_0  
chemps2                   1.8.10               hbe8a562_0    psi4
dftd3                     3.2.1                h84218bc_2    psi4
dkh                       1.2                  h173d85e_2    psi4
flit-core                 3.6.0              pyhd3eb1b0_0  
gau2grid                  2.0.7                hd18ef5c_0    psi4
gcp                       2.0.2                he991be0_2    psi4
gdma                      2.2.6                h0e1e685_6    psi4
hdf5                      1.10.6               h3ffc7dd_1  
importlib-metadata        4.11.3           py39h06a4308_0  
importlib_metadata        4.11.3               hd3eb1b0_0  
importlib_resources       5.2.0              pyhd3eb1b0_1  
intel-openmp              2021.4.0          h06a4308_3561  
ld_impl_linux-64          2.38                 h1181459_1  
libffi                    3.4.2                h6a678d5_6  
libgcc-ng                 11.2.0               h1234567_1  
libgfortran-ng            11.2.0               h00389a5_1  
libgfortran5              11.2.0               h1234567_1  
libgomp                   11.2.0               h1234567_1  
libint2                   2.6.0                hc9558a2_9    psi4
libstdcxx-ng              11.2.0               h1234567_1  
libxc                     5.2.3                hfebba4c_0    psi4
mkl                       2021.4.0           h06a4308_640  
mkl-service               2.4.0            py39h7f8727e_0  
mkl_fft                   1.3.1            py39hd3c417c_0  
mkl_random                1.2.2            py39h51133e4_0  
more-itertools            8.12.0             pyhd3eb1b0_0  
ncurses                   6.4                  h6a678d5_0  
networkx                  2.8.4            py39h06a4308_0  
numexpr                   2.8.4            py39he184ba9_0  
numpy                     1.23.5           py39h14f4228_0  
numpy-base                1.23.5           py39h31eccc5_0  
openssl                   1.1.1t               h7f8727e_0  
packaging                 22.0             py39h06a4308_0  
pandas                    1.5.3            py39h417a72b_0  
pcmsolver                 1.2.1.1          py39h6d17ec8_2    psi4
pint                      0.17               pyhd8ed1ab_0    psi4
pip                       22.3.1           py39h06a4308_0  
pluggy                    0.13.1           py39h06a4308_0  
psi4                      1.5+e9f4d6d      py39hbf93d9d_0    psi4
psutil                    5.9.0            py39h5eee18b_0  
py                        1.11.0             pyhd3eb1b0_0  
py-cpuinfo                8.0.0              pyhd3eb1b0_1  
pydantic                  1.10.2           py39h5eee18b_0  
pytest                    5.4.3            py39h06a4308_0  
python                    3.9.16               h7a1cb2a_0  
python-dateutil           2.8.2              pyhd3eb1b0_0  
pytz                      2022.7           py39h06a4308_0  
pyyaml                    6.0              py39h5eee18b_1  
qcelemental               0.25.1             pyhd8ed1ab_1    psi4
qcengine                  0.26.0             pyhd8ed1ab_0    psi4
readline                  8.2                  h5eee18b_0  
setuptools                65.6.3           py39h06a4308_0  
simint                    0.7                  h642920c_1    psi4
six                       1.16.0             pyhd3eb1b0_1  
sqlite                    3.40.1               h5082296_0  
tk                        8.6.12               h1ccaba5_0  
typing-extensions         4.4.0            py39h06a4308_0  
typing_extensions         4.4.0            py39h06a4308_0  
tzdata                    2022g                h04d1e81_0  
wcwidth                   0.2.5              pyhd3eb1b0_0  
wheel                     0.38.4           py39h06a4308_0  
xz                        5.2.10               h5eee18b_1  
yaml                      0.2.5                h7b6447c_0  
zipp                      3.11.0           py39h06a4308_0  
zlib                      1.2.13               h5eee18b_0 

Hope it clears things up and please let me know if you require any other info.

Cheers.