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Analytical gradients for tensor hyper-contracted MP2 and SOS-MP2 on graphical processing units

机译:图形处理单元上的张量超接收MP2和SOS-MP2的分析梯度

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Analytic energy gradients for tensor hyper-contraction (THC) are derived and implemented for second-order Moller-Plesset perturbation theory (MP2), with and without the scaled-opposite-spin (SOS)-MP2 approximation. By exploiting the THC factorization, the formal scaling of MP2 and SOS-MP2 gradient calculations with respect to system size is reduced to quartic and cubic, respectively. An efficient implementation has been developed that utilizes both graphics processing units and sparse tensor techniques exploiting spatial sparsity of the atomic orbitals. THC-MP2 has been applied to both geometry optimization and ab initio molecular dynamics (AIMD) simulations. The resulting energy conservation in micro-canonical AIMD demonstrates that the implementation provides accurate nuclear gradients with respect to the THC-MP2 potential energy surfaces. Published by AIP Publishing.
机译:用于张量超收缩(THC)的分析能量梯度用于二阶Moller-Plesset扰动理论(MP2),具有和不具有缩放相对的旋转(SOS)-MP2近似。 通过利用THC分解,将MP2和SOS-MP2梯度计算相对于系统尺寸的正式缩放分别减少到四方和立方。 已经开发了一种有效的实现,其利用图形处理单元和利用原子轨道的空间稀疏性的稀疏张量技术。 THC-MP2已应用于几何优化和AB Initio分子动力学(AIMD)模拟。 Micro-Canonical AIMD中所产生的节能表明,该实现对THC-MP2电位能量表面提供了准确的核梯度。 通过AIP发布发布。

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