DFTpy ===== .. grid:: 12 :gutter: 2 :margin: 0 0 2 0 .. grid-item:: :columns: 2 .. image:: /_static/dftpy-logo.png :alt: DFTpy :width: 96px :class: app-logo .. grid-item:: :columns: 10 **Python-based orbital-free DFT code** for large-scale materials simulations. Million-atom systems are approachable via highly efficient parallelization and algorithms (e.g., PME and novel OF-DFT solvers). .. button-link:: https://github.com/your-org/DFTpy :color: primary :outline: GitHub Repo .. button-link:: https://dftpy.rutgers.edu/ :color: primary :outline: dftpy.rutgers.edu .. raw:: html
.. _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 `_ .. raw:: html