Disclaimer: This software is in beta stage. It is provided as-is, and no guarantee is made that it works for your use case or is free from bugs.
Use at your own risk and verify results independently.
Disclaimer: The software will have soon a paper associated to it. In the meantime, if you use it for your own research, please cite Ref. [1,2]
Start to learn about GEM on our website at https://triqs.github.io/gem/.
This is an implement of the ghost-Gutwiller approximation and its finate temperature extension [1,2] (ghost-GA).
| Package | Purpose |
|---|---|
| numpy | Array computing |
| scipy | Sparse matrices, linear algebra, optimization |
| numba | JIT compilation for ED basis construction |
| h5py | HDF5 file I/O |
| Solver | Extra packages required |
|---|---|
SimpleED |
(none beyond core) |
| Package | Purpose |
|---|---|
| pytest | Test runner (make test) |
To install this package, run the following commands in order:
git clone https://github.com/TRIQS/gem.git
mkdir gem.build && cd gem.build
cmake ../gem
make
make test
make installGEM provides a small script (gemvars.sh)
to load its installation into your environment variables.
Please source it with the proper replacement of (INSTALL_PREFIX):
source $INSTALL_PREFIX/share/gem/gemvars.sh
To automate this process, please add this line to your ~/.bash_profile (or ~/.zprofile).
[1]: N. Lanatà, T.-H. Lee, Y.-X. Yao, and V. Dobrosavljević, Emergent Bloch excitations in Mott matter, Phys. Rev. B 96, 195126 (2017).
[2]: S. Giuli, T.-H. Lee, Y.-X. Yao, G. Kotliar, A. E. Ruckenstein, O. Gingras, and N. Lanatà, Unifying Variational and Dynamical Quantum Embedding: From Ghost Gutzwiller Approximation to Dynamical Mean-Field Theory, arXiv:2603.20559.
triqs/gem is supported by the Flatiron Institute, a division of the Simons Foundation.
