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周期体系约化密度矩阵泛函理论中的迭代极小化方法

Iterative minimization in reduced density matrix functional theory for periodic systems

Kai Luo, Jingang Han, Peize Lin, Daye Zheng, Mohan Chen, Xinguo Ren

arXiv 2607.27679首次发表:更新:

AI 中文总结

该研究针对周期固体的RDMFT计算难题,构建基组无关的RDMFT并提出平面波迭代极小化实现方案,经多体系基准测试及应用验证,其算法可靠稳健,SPG方法性能优于EBI。

AI 中文摘要

约化密度矩阵泛函理论(RDMFT)为强关联体系提供了超越Kohn-Sham密度泛函理论的途径,但周期固体的实际计算仍难以实现。我们以与基组无关的方式构建了扩展体系的RDMFT,并提出了一种采用迭代极小化的周期体系平面波实现方案,通过现有自适应压缩交换机制评估非局域交换关联泛函。在N可表示性约束下,自然占据数通过谱投影梯度(SPG)方法或一阶隐式显式(EBI)映射进行优化,而自然轨道则通过复Stiefel流形上的黎曼优化进行更新。对H₂、硅、钠等典型体系以Hartree-Fock泛函进行基准测试,结果显示SPG可复现收敛的杂化参考值,而EBI在占据数接近0或1时会停滞。采用幂函数和Müller函数时,SPG相比EBI能得到更低的能量和更稳定的收敛性。对分数电荷LiH、解离的H₂和N₂分子以及硅的状态方程的应用表明,该实现方案所提出的算法可靠且稳健。

英文摘要

Reduced density matrix functional theory (RDMFT) offers a route beyond Kohn-Sham density functional theory for strongly correlated systems, yet practical calculations for periodic solids are still out of reach. We formulate RDMFT for extended systems in a basis-independent way and present a planewave implementation using iterative minimization for periodic solids, evaluating nonlocal exchange-correlation functionals through the existing adaptive compressed exchange machinery. Natural occupations are optimized under N-representability constraints with a spectral projected gradient (SPG) method or an first-order explicit-by-implicit (EBI) map, while natural orbitals are updated by Riemannian optimization on the complex Stiefel manifolds. Benchmarks on typical systems of \ce{H2}, silicon, and sodium with the Hartree-Fock functional show that SPG reproduces converged hybrid references, whereas EBI can stall when occupations approach $0$ or $1$. With the power and Müller functionals, SPG yields lower energies and more stable convergence than EBI. Applications to fractionally charged \ce{LiH}, dissociating \ce{H2} and \ce{N2} molecules, and equation of state of silicon show that the algorithm presented in this implementation is reliable and robust.

Comments17 pages, 6 figures

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