.. _dftpy-what-can-you-do:
What can you do with DFTpy
--------------------------
- Run **orbital-free DFT (OF-DFT)** simulations using a **plane-wave expansion of the electron density**
- Prototype **new OF-DFT functionals**, solvers, and workflows quickly in **pure Python**
- Drive **very large systems** (million-atom scale approaches with the right kernels and decomposition)
- Use and test **Local Pseudopotentials (LPPs)** compatible with DFTpy
- Explore **time-dependent OF-DFT** and spin-unrestricted options
- Integrate with the broader **Q-MS** software set and Python’s scientific ecosystem
.. _dftpy-developers:
DFTpy developers
----------------
Feel free to contact the developers:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `Xuecheng Shao `_
- `Michele Pavanello `_
- `Valeria Rios Vargas `_
On-line
-------
DFTpy is actively developed by the following groups:
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
- `Pavanello Research Group `_
- `Mi and Shao groups at Jilin University `_
- `Quantum MultiScale collaboration `_
.. _dftpy-learn:
Learn about it
--------------
.. grid:: 12
:gutter: 2
:margin: 0 0 1.25 0
.. admonition:: External site
:class: note
Official site: `dftpy.rutgers.edu `_
.. _dftpy-contacts:
How do I find out more about DFTpy?
-----------------------------------
- `Check out the DFTpy forum `_
- or send an email to `dftpy_forum@email.rutgers.edu `_
.. _dftpy-publications:
Publications
------------
- Shao, X., Jiang, K., Mi, W., Genova, A., & Pavanello, M. (2021). DFTpy: An efficient and object‐oriented platform for orbital‐free DFT simulations. Wiley Interdisciplinary Reviews: Computational Molecular Science, 11(1), e1482. (`https://doi.org/10.1002/wcms.1482 `_)
- Jiang, K., & Pavanello, M. (2021). Time-dependent orbital-free density functional theory: Background and Pauli kernel approximations. Physical Review B, 103(24), 245102. (`https://doi.org/10.1103/PhysRevB.103.245102 `_)
- Jiang, K., Shao, X., & Pavanello, M. (2021). Nonlocal and nonadiabatic Pauli potential for time-dependent orbital-free density functional theory. Physical Review B, 104, 235110. (`https://doi.org/10.1103/PhysRevB.104.235110 `_)
- Shao, X., Mi, W., & Pavanello, M. (2021). Efficient DFT Solver for Nanoscale Simulations and Beyond. The Journal of Physical Chemistry Letters, 12(17), 4134-4139. (`https://doi.org/10.1021/acs.jpclett.1c00716 `_)
- Shao, X., Jiang, K., Mi, W., Genova, A., & Pavanello, M. (2021). DFTpy: An efficient and object-oriented platform for orbital-free DFT simulations. Wiley Interdisciplinary Reviews: Computational Molecular Science, 11(1), e1482. (`https://doi.org/10.1002/wcms.1482 `_)
.. _dftpy-videos:
YouTube videos
--------------
`DFTpy Youtube Playlist `_
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