Postdoc: Quantized First-Principles Quantum Dynamical Simulations of Condensed Matter Systems

一种计算策略将被用来进行第一次完全量子化的第一性原理量子动力学模拟的凝聚态系统，其中电子和核量子化都有效地包括在内。 计算策略结合了质心分子动力学（CMD）的方法和Car-Parrinello（CP）的方法在一个可扩展的算法。 量子动力学信息将通过在有效的、依赖于温度的从头算势上运行量子粒子的经典风格的CMD轨道来获得。从头算有效势将通过执行平衡Car-Parrinello量子路径积分平均与MD方程的时间积分同时计算。这种方法将在并行CMD算法中实现，该算法应该能够接近线性性能缩放。 模拟方法中的一个关键要素将是实施累积量平均策略，以显著减少计算工作量。 该项目的成功将依赖于在高度并行计算平台上实现的可扩展计算方法的发展。

A computational strategy will be used to carry out the first completely quantized first-principles quantum dynamical simulations of condensed matter systems, in which both the electronic and nuclear quantization are effectively included. The computational strategy combines the Centroid Molecular Dynamics (CMD) approach and the Car-Parrinello (CP) method within a scalable algorithm. The quantum dynamical information will be obtained by running classical-style CMD trajectories for the quantum particles on an effective, temperature-dependent ab initio potential. The ab initio effective potential will be calculated by performing equilibrium Car-Parrinello quantum path-integral averaging simultaneously with the time-integration of the MD equations. This methodology will be implemented in a parallel CMD algorithm, which should be capable of near linear performance scaling. A key element in the simulation methodology will be the implementation of a cumulant averaging strategy to significantly reduce the computational workload. The success of the project will rely on the development of intrisically scalable computational methods implemented on highly parallel computing platforms.