论文标题

Pythonic黑盒电子结构工具(Pybest)。在化学和物理学之间接口上的电子结构计算的开源Python平台

Pythonic Black-box Electronic Structure Tool (PyBEST). An open-source Python platform for electronic structure calculations at the interface between chemistry and physics

论文作者

Boguslawski, Katharina, Leszczyk, Aleksandra, Nowak, Artur, Brzęk, Filip, Żuchowski, Piotr Szymon, Kędziera, Dariusz, Tecmer, Paweł

论文摘要

Pythonic Black-Box电子结构工具(PYBEST)代表了在Toruń的Nicolaus Copernicus University开发的成熟的现代电子结构软件包。该软件包为使用独特的电子结构方法,分析工具和可视化提供了一个有效且可靠的平台,用于在化学和物理之间的界面上计算。示例是基于单轨熵和轨道对互信息的(轨道优化)基于PCCD的(轨道优化)的基于PCCD的模型,以及基于单一轨道熵和轨道对的量子纠缠分析框架。 Pybest主要用Python3编程语言编写,其其他部分用C ++编写,这些零件使用PYBIND11(一个仅轻质标头的库)连接。通过构造,Pybest易于使用,代码并与其他软件包进行交互。此外,它的模块化使我们能够在将来发行中方便地托管其他Python软件包和软件库,以提高其性能。 Pybest中可用的电子结构方法已针对半填充的1-D模型哈密顿量进行了测试。对于模型维生素B12化合物,证明了Pybest执行大规模电子结构计算的能力。研究的分子由190个电子和777个轨道组成,在PCCD内进行轨道优化,并首次进行轨道纠缠和相关​​分析。

Pythonic Black-box Electronic Structure Tool (PyBEST) represents a fully-fledged modern electronic structure software package developed at Nicolaus Copernicus University in Toruń. The package provides an efficient and reliable platform for electronic structure calculations at the interface between chemistry and physics using unique electronic structure methods, analysis tools, and visualization. Examples are the (orbital-optimized) pCCD-based models for ground- and excited-states electronic structure calculations as well as the quantum entanglement analysis framework based on the single-orbital entropy and orbital-pair mutual information. PyBEST is written primarily in the Python3 programming language with additional parts written in C++, which are interfaced using Pybind11, a lightweight header-only library. By construction, PyBEST is easy to use, to code, and to interface with other software packages. Moreover, its modularity allows us to conveniently host additional Python packages and software libraries in future releases to enhance its performance. The electronic structure methods available in PyBEST are tested for the half-filled 1-D model Hamiltonian. The capability of PyBEST to perform large-scale electronic structure calculations is demonstrated for the model vitamin B12 compound. The investigated molecule is composed of 190 electrons and 777 orbitals for which an orbital optimization within pCCD and an orbital entanglement and correlation analysis are performed for the first time.

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