Abstract
Psi4NumPy demonstrates the use of efficient computational kernels from the open-source Psi4 program through the popular NumPy library for linear algebra in Python to facilitate the rapid development of clear, understandable Python computer code for new quantum chemical methods, while maintaining a relatively low execution time. Using these tools, reference implementations have been created for a number of methods, including self-consistent field (SCF), SCF response, many-body perturbation theory, coupled-cluster theory, configuration interaction, and symmetry-adapted perturbation theory. Furthermore, several reference codes have been integrated into Jupyter notebooks, allowing background, underlying theory, and formula information to be associated with the implementation. Psi4NumPy tools and associated reference implementations can lower the barrier for future development of quantum chemistry methods. These implementations also demonstrate the power of the hybrid C++/Python programming approach employed by the Psi4 program.
| Original language | English |
|---|---|
| Pages (from-to) | 3504-3511 |
| Number of pages | 8 |
| Journal | Journal of Chemical Theory and Computation |
| Volume | 14 |
| Issue number | 7 |
| DOIs | |
| State | Published - 10 Jul 2018 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2018 American Chemical Society.
ASJC Scopus subject areas
- Computer Science Applications
- Physical and Theoretical Chemistry
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