论文标题

使用信任区域图像法中强大的全电子优化在无轨道密度功能理论中

Robust All-Electron Optimization in Orbital-Free Density Functional Theory Using the Trust Region Image Method

论文作者

Ryley, Matthew S., Withnall, Michael, Irons, Tom J. P., Helgaker, Trygve, Teale, Andrew M.

论文摘要

我们提出了无轨道密度功能功能理论(DFT)的高斯基础实现,其中信任区域图像方法(TRIM)用于优化。已经构建了这种二阶优化方案,以提供基准的全电子结果,并具有非常紧密的粒子数约束,相关的化学潜力和电子密度的收敛性。证明,通过保留优化的鞍点性质并同时优化了密度和化学电位,可以获得收敛所需的迭代次数的数量级减少。将该方法比较并与Chan,Cohen和Handy提出的嵌套优化方案的新实施进行了比较。我们的实施允许在全电子计算中自兼处理的半本地动力学(和交换相关)功能。这些计算的全电子高斯基础设置将与广泛的标准高精度量子化学方法以及Kohn-Sham密度功能功能理论进行直接比较。我们预计本实现将为分析有限系统中近似动力学功能的性能提供有用的工具。

We present a Gaussian-basis implementation of orbital-free density-functional theory (OF-DFT) in which the trust-region image method (TRIM) is used for optimization. This second-order optimization scheme has been constructed to provide benchmark all-electron results with very tight convergence of the particle number constraint, associated chemical potential and electron density. It is demonstrated that, by preserving the saddle-point nature of the optimization and simultaneously optimizing the density and chemical potential, an order of magnitude reduction in the number of iterations required for convergence is obtained. The approach is compared and contrasted with a new implementation of the nested optimization scheme put forward by Chan, Cohen and Handy. Our implementation allows for semi-local kinetic-energy (and exchange-correlation) functionals to be handled self-consistently in all-electron calculations. The all-electron Gaussian-basis setting for these calculations will enable direct comparison with a wide range of standard high-accuracy quantum-chemical methods as well as with Kohn-Sham density-functional theory. We expect that the present implementation will provide a useful tool for analysing the performance of approximate kinetic-energy functionals in finite systems.

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