general GTO integrals for quantum chemistry
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version 3.0.13

What is libcint

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
* 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-comuptation 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 2e 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.

Getting libcint

The newest version is available on GitHub:

    git clone

It's very convenient to tryout Libcint with PySCF, which is a python
module for quantum chemistry program

Generating integrals

If clisp was installed in the system, new integrals can be automatically
implemented.  You can add entries in script/ and generate
code by

    cd script; clisp; 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 ...))
    '("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 ... ))
    '("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
    make install

* Build libcint with examples and full or abridged tests (optional)
    mkdir build; cd build
    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
    make install

Known problems

* On 64-bit system, "make test" stop with error:

    MKL FATAL ERROR: Cannot load or

  This problem is caused by the conflict between Python and MKL library.
  It can be fixed by adding -lmkl_avx or -lmkl_mc -lmkl_def to MKL link
  flags to replace the default blas link flags.  Be careful with the
  *order* of -lmkl_mc and -lmkl_def.

* 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 ERI.  Depending on the derivative order,
  reduce 1 highest angular momentum every 4 derivative order.

* Using SSE3 instructions can increase the performance 5 ~ 50%.
  Please refer to *qcint* library (under GPL v3 license)

* Tests and examples are not compiled by default. Compiling them by

        cmake -DENABLE_EXAMPLE=1

How to cite

  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 = {}

Bug report
Qiming Sun <>