Construction of the exact exchange matrix, >K, is typically the rate-determining step in hybrid density functional theory, and therefore, new approaches with increased efficiency are highly desirable. We present a framework with potential for greatly improved efficiency by computing a compressed exchange matrix that yields the exact exchange energy, gradient, and direct inversion of the iterative subspace (DIIS) error vector. The compressed exchange matrix is constructed with one index in the compact molecular orbital basis and the other index in the full atomic orbital basis. To illustrate the advantages, we present a practical algorithm that uses this framework in conjunction with the resolution of the identity (RI) approximation. We demonstrate that convergence using this method, referred to hereafter as occupied orbital RI-K (occ-RI-K), in combination with the DIIS algorithm is well-behaved, that the accuracy of computed energetics is excellent (identical to conventional RI-K), and that significant speedups can be obtained over existing integral-direct and RI-K methods. For a 4400 basis function C68H22 hydrogen-terminated graphene fragment, our algorithm yields a 14 × speedup over the conventional algorithm and a speedup of 3.3 × over RI-K.
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机译:精确交换矩阵> K strong>的构建通常是混合密度泛函理论中确定速率的步骤,因此,迫切需要提高效率的新方法。我们提出了一种框架,该框架具有潜力,可以通过计算压缩交换矩阵来产生更高的效率,该矩阵可产生精确的交换能量,梯度和迭代子空间(DIIS)误差向量的直接反演。压缩交换矩阵是由一个以紧密分子轨道为基础的指标和另一个以全原子轨道为基础的指标构成的。为了说明这些优点,我们提出了一种实用算法,该算法结合使用该框架和标识(RI)近似值的分辨率。我们证明,使用DIIS算法结合使用此方法(以下称为占用轨道RI-K(occ-RI-K))的收敛性能良好,计算出的能量学精度非常好(与常规RI-K相同)。 K),并且可以通过现有的积分直接法和RI-K方法获得显着的提速。对于4400基函数C68H22氢封端的石墨烯片段,我们的算法比常规算法提高了14倍,比RI-K提高了3.3倍。
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