version 6.1.1 2024-01-24
libcint is an open source library for analytical Gaussian integrals. It provides C/Fortran API to evaluate one-electron / two-electron integrals for Cartesian / real-spheric / spinor Gaussian type functions.
Various GTO type:
- Cartesian GTO: s, p, 6d, 10f, 15g, 21h, 28i Gaussian type functions.
- Real-spheric GTO: s, p, 5d, 7f, 9g, 11h, 13i Gaussian type functions.
- Spinor GTO: J-adapted spinor Gaussian functions.
One electron integrals.
- Regular kinetic-like integrals.
- Nuclear attraction-like integrals (Gaussian nuclear model are supported).
Two electron integrals (value < 1e-15 are neglected) include
- Coulomb repulsion
- Gaunt interaction
- Breit interaction
- 2-center, 3-center and 4-center integrals
- Long-range part and short-range part of range-separated Coulomb
Common lisp script to generate C code for new integrals.
Thread safe.
Uniform API for all kind of integrals. - one electron integrals:
not0 = fn1e_name(double *buf, int *atm, int natm, int *bas, int nbas, double *env);
two electron integrals:
not0 = fn2e_name(double *buf, int *atm, int natm, int *bas, int nbas, double *env, NULL);
the return boolean (not0) gives the summary whether the integrals are completely 0.
Minimal overhead of initialization
- Pre-computation is not required. Only basic info (see previous API) of basis function need to be initialized, within a plain integer or double precision array. (For 2-e integral, there is an optional argument called optimizer which can be switched off by setting it to NULL. Using optimizer should not affect the value of integral, but can increase the performance by ~10%.)
Minimal dependence on external library.
- BLAS is the only library needed. Normally, the performance difference due to various BLAS implementations is less than 1%.
Small memory usage.
- Very few intermediate data are stored. ~80% of the memory are allocated for holding the whole contracted Cartesion integrals, which typically should be less than 1 Mega bytes.
The newest version is available on GitHub:
git clone http://github.com/sunqm/libcint.git
It's very convenient to tryout Libcint with PySCF, which is a python module for quantum chemistry program:
http://github.com/sunqm/pyscf.git
If clisp was installed in the system, new integrals can be automatically
implemented. You can add entries in script/auto_intor.cl and generate
code by:
cd script clisp auto_intor.cl mv *.c ../src/autocode/
New entries should follow the format of those existed entries. In one entry, you need to define the function name and the expression of the integral. The expression is consistent with Mulliken notation. For one-electron integral, an entry can be:
'("integral_name" spinor (number op-bra op-bra ... \| op-ket ...))
or:
'("integral_name" spinor (number op-bra op-bra ... \| 1e-operator \| op-ket ...))
the entry of two-electron integral can be:
'("integral_name" spinor (number op-bra-electron-1 ... \, op-ket-electron-1 ... \|
op-bra-electron-2 ... \, op-ket-electron-2 ... ))
or:
'("integral_name" spinor (number op-bra-electron-1 ... \, op-ket-electron-1 ... \|
r12 \| op-bra-electron-2 ... \, op-ket-electron-2 ... ))
Parentheses must be paired.
Line break is allowed.
Note the _backslash_ in | and is required.
"integral_name" is the function name. Valid name can be made up of letters, digits and underscore ("_").
number can be an integer, a real number or a pure imaginary number. An imaginary number should be written as:
#C(0 XXX)
Supported operator-bra and operator-ket include
- p means -i \nabla
- ip means \nabla
- r0 means \vec{r} - (0,0,0)
- rc means \vec{r} - \vec{R}_(env[PTR_COMMON_ORIG])
- ri means \vec{r} - \vec{R}_i
- rj means \vec{r} - \vec{R}_j
- rk means \vec{r} - \vec{R}_k
- rl means \vec{r} - \vec{R}_l
- r can be ri/rj/rk/rl; associate with the basis it operates
- g means i/2 (\vec{R}_{bra} - \vec{R}_{ket}) \times \vec{r}
- sigma means three pauli matrix
- dot, cross can be used to combine operator-bra or operator-ket
Supported 1e-operator and 2e-operator include
- rinv means 1 / |\vec{r} - \vec{R}_(env[PTR_RINV_ORIG])|
- nuc means \sum_N Z_N / |\vec{r} - \vec{R}_N|
- nabla-rinv means \nabla (1 / |\vec{r} - \vec{R}_(env[PTR_RINV_ORIG])|)
- gaunt means \alpha_i \dot \alpha_j / |\vec{r}_i - \vec{r}_j|
- breit means -1/2\alpha_i \dot \alpha_j / |\vec{r}_i - \vec{r}_j| - 1/2 \alpha_i \dot r_{ij} \alpha_j \dot r_{ij} / |\vec{r}_i - \vec{r}_j|^3
Note sign - is not included in the gaunt integrals
Prerequisites
- BLAS library
- Python version 2.5 or higher (optional, for
make test) - Numpy (optional, for
make test) - clisp / SBCL (optional, for common lisp script)
Build libcint:
mkdir build; cd build cmake [-DCMAKE_INSTALL_PREFIX:PATH=<INSTALL_DIR>] .. make install
Build libcint with examples and full or abridged tests (optional):
mkdir build; cd build cmake -DENABLE_EXAMPLE=1 -DENABLE_TEST=1 [-DQUICK_TEST=1] .. make make test ARGS=-V
Build static library (optional):
mkdir build; cd build cmake -DBUILD_SHARED_LIBS=0 .. make install
Compile with integer-8:
mkdir build; cd build cmake -DI8=1 .. make install
Long range part of range-separated Coulomb operator (optional):
mkdir build; cd build cmake -DWITH_RANGE_COULOMB .. make install
The available integrals can be found in the header file cint_funcs.h. A simple
expression for each integral is also listed in the header file. The integral
function names and integral expressions correspond to the lisp symbol notations
in scripts/auto_intor.cl
All integral functions have the same function signature:
function_name(double *out, int *dims, int *shls, int *atm, int natm, int *bas, int nbas, double *env, CINTOpt *opt, double *cache);
Integral errors
- Relative errors for regular ERIs are around 1e-12 and less.
- Errors for short-range part of attenuated Coulomb interactions are generally larger than regular ERIs. Depending on the range-separation parameter, relative errors can reach 1e-10. However, comparing to computing integrals via "regular ERI - long-range ERI", errors are roughly one order of magnitude better.
- Small integrals (< 1e-18 by default) are set to 0. If they are used in
Schwarz inequality to estimate upper limit of an integral, the default
integral cutoff might not be accurate enough. It can be adjusted by the
parameter
env[PTR_EXPCUTOFF](since libcint 4.0). This parameter needs to be set toabs(ln(cutoff_threshold)).
For basic ERIs, the code can handle highest angular momentum up to 7 (present Rys-roots functions might be numerically unstable for nroots > 10 or l > 5). But it has to be reduced to 5 or less for derivative or high order ERIs. For every 4 derivative order, reduce 1 highest angular momentum for each shell.
SIMD instructions can increase performance 5 ~ 50%. Please refer to qcint library (under GPL v3 license):
https://github.com/sunqm/qcint.git
Tests and examples are not compiled by default. Compiling them by:
cmake -DENABLE_EXAMPLE=1
@article{10.1002/jcc.23981,
title = {Libcint: An efficient general integral library for Gaussian basis functions},
author = {Sun, Qiming},
journal = {Journal of Computational Chemistry},
year = {2015},
pages = {1664-1671},
volume = {36},
doi = {10.1002/jcc.23981},
url = {http://dx.doi.org/10.1002/jcc.23981}
}
Qiming Sun <[email protected]>