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HONPAS: A Linear Scaling Open-Source Solution for Large System Simulations

机译:HONPAS:用于大型系统仿真的线性缩放开源解决方案

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HONPAS is an ab initio electronic structure program for linear scaling or O(N) first-principles calculations of large and complex systems using standard norm-conserving pseudopotentials, numerical atomic orbitals (NAOs) basis sets, and periodic boundary conditions. HONPAS is developed in the framework of the SIESTA methodology and focuses on the development and implementation of efficient O(N) algorithms for ab initio electronic structure calculations. The Heyd-Scuseria-Ernzerhof (HSE) screened hybrid density functional has been implemented using a NAO2GTO scheme to evaluate the electron repulsion integrals (ERIs) with NAOs. ERI screening techniques allow the HSE functional calculations to be very efficient and scale linearly. The density matrix purification algorithms have been implemented, and the PSUTC2 and SUTC2 methods have been developed to deal with spin unrestricted systems with or without predetermined spin multiplicity, respectively. After the self-consistent field (SCF) process, additional O(N) post-SCF calculations for frontier molecular orbitals and maximally localized Wannier functions are also developed and implemented. Finally, an O(N) method based on the density matrix perturbation theory has been proposed and implemented to treat electric field in solids. This article provides an overall introduction to capabilities of HONPAS and implementation details of different O(N) algorithms. (c) 2014 Wiley Periodicals, Inc.
机译:HONPAS是一个从头开始的电子结构程序,用于使用标准守恒伪势,数值原子轨道(NAO)基集和周期性边界条件对大型和复杂系统进行线性缩放或O(N)第一性原理计算。 HONPAS是在SIESTA方法论的框架内开发的,专注于从头算电子结构计算的有效O(N)算法的开发和实现。 Heyd-Scuseria-Ernzerhof(HSE)筛选的混合密度泛函已使用NAO2GTO方案进行了评估,以评估具有NAO的电子排斥积分(ERI)。 ERI筛选技术使HSE功能计算非常有效并且可以线性扩展。已经实现了密度矩阵纯化算法,并且已经开发了PSUTC2和SUTC2方法来分别处理具有或不具有预定自旋多重性的自旋无限制系统。在自洽场(SCF)处理之后,还开发并实现了用于前沿分子轨道和最大局部Wannier函数的其他O(N)SCF后计算。最后,提出了一种基于密度矩阵摄动理论的O(N)方法,并采用该方法来处理固体中的电场。本文全面介绍了HONPAS的功能以及不同O(N)算法的实现细节。 (c)2014年威利期刊有限公司

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