School of Chemistry and Molecular Engineering, State Key Laboratory of Precision Spectroscopy, East China Normal University, Shanghai 200062, China.
Chemical Theory Center, Department of Chemistry, University of Minnesota, Minneapolis, MN 55455-043.
Proc Natl Acad Sci U S A. 2017 Aug 8;114(32):8487-8492. doi: 10.1073/pnas.1705670114. Epub 2017 Jul 24.
We present the revM06-L functional, which we designed by optimizing against a larger database than had been used for Minnesota 2006 local functional (M06-L) and by using smoothness restraints. The optimization strategy reduced the number of parameters from 34 to 31 because we removed some large terms that increased the required size of the quadrature grid and the number of self-consistent-field iterations. The mean unsigned error (MUE) of revM06-L on 422 chemical energies is 3.07 kcal/mol, which is improved from 3.57 kcal/mol calculated by M06-L. The MUE of revM06-L for the chemical reaction barrier height database (BH76) is 1.98 kcal/mol, which is improved by more than a factor of 2 with respect to the M06-L functional. The revM06-L functional gives the best result among local functionals tested for the noncovalent interaction database (NC51), with an MUE of only 0.36 kcal/mol, and the MUE of revM06-L for the solid-state lattice constant database (LC17) is half that for M06-L. The revM06-L functional also yields smoother potential curves, and it predicts more-accurate results than M06-L for seven out of eight diversified test sets not used for parameterization. We conclude that the revM06-L functional is well suited for a broad range of applications in chemistry and condensed-matter physics.
我们提出了 revM06-L 函数,它是通过针对比 Minnesota 2006 局部函数(M06-L)使用的更大的数据库进行优化并使用平滑约束设计的。优化策略将参数数量从 34 减少到 31,因为我们删除了一些会增加正交网格大小和自洽场迭代次数的较大项。在 422 个化学能上,revM06-L 的平均无偏差误差(MUE)为 3.07 kcal/mol,比 M06-L 计算的 3.57 kcal/mol有所提高。对于化学反应势垒高度数据库(BH76),revM06-L 的 MUE 为 1.98 kcal/mol,比 M06-L 提高了两倍多。对于非共价相互作用数据库(NC51),在测试的局部函数中,revM06-L 给出了最好的结果,MUE 仅为 0.36 kcal/mol,对于固态晶格常数数据库(LC17),revM06-L 的 MUE 是 M06-L 的一半。revM06-L 函数还产生了更平滑的势能曲线,并且对于未用于参数化的八个多样化测试集的七个测试集,它预测的结果比 M06-L 更准确。我们得出结论,revM06-L 函数非常适合化学和凝聚态物理的广泛应用。