.png){kind=icon}
.png){kind=icon}
Return
Recent developments in the PySCF program package
.png){kind=icon}
OA
AI
DOI：10.1063/5.0006074.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
PySCF is a Python-based general-purpose electronic structure platform that supports first-principles simulations of molecules and solids as well as accelerates the development of new methodology and complex computational workflows. This paper explains the design and philosophy behind PySCF that enables it to meet these twin objectives. With several case studies, we show how users can easily implement their own methods using PySCF as a development environment. We then summarize the capabilities of PySCF for molecular and solid-state simulations. Finally, we describe the growing ecosystem of projects that use PySCF across the domains of quantum chemistry, materials science, machine learning, and quantum information science. Published under license by AIP Publishing.
Keywords:
COUPLED-CLUSTER METHOD
ELECTRIC-FIELD-GRADIENT
DENSITY-FUNCTIONAL CALCULATIONS
BATH CONFIGURATION-INTERACTION
TRANSITION-METAL-COMPLEXES
HARTREE-FOCK
ATOMIC ORBITALS
AB-INITIO
G-TENSOR
PERTURBATION-THEORY
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.1
Papers:
7.2W
Citations:
23.2W
Organization
View more organizations