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首页> 外文期刊>Bulletin of the American Physical Society >APS -APS March Meeting 2017 - Event - Defect formation energies and equations of state of Mn oxides using diffusion Monte Carlo
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APS -APS March Meeting 2017 - Event - Defect formation energies and equations of state of Mn oxides using diffusion Monte Carlo

机译:APS -APS 3月会议2017 - 使用扩散蒙特卡罗的事件 - 缺陷地层能量和Mn氧化物状态的方程

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摘要

Quantum Monte~Carlo (QMC) methods are the most accurate methods available for extit{ab-initio} calculations of systems with more than 100 electrons. A family of projector methods allows the direct treatment of electron corrections by statistical sampling. Using the diffusion quantum Monte Carlo (DMC) method, as implemented in QMCPACK, we calculate the cohesive energy, formation energy and the structural parameters of MnO and MnO$_{mathrm{2}}$ and the ternary perovskite LaMnO$_{mathrm{3}}$. Next, we study the oxygen vacancy and cationic dopants in (La,$A)$MnO$_{mathrm{3}}$ (A $=$ Ca, Sr, and Ba) which have been identified as suitable candidates for improving the electro-chemical properties of the parent material. The goals the present work are (a) to quantify the accuracy of the DMC method to study the transition metal oxides, (b) to establish the accuracy of different approximations of density functional theory as compared with DMC results, and (c) to demonstrate in another case that QMC methods are an accurate tool for the prediction of the properties of strongly correlated systems.
机译:Quantum Monte〜Carlo(QMC)方法是最准确的方法可用于EXTIT {AB-INITIO}计算具有100多个电子的系统。一系列投影仪方法允许通过统计采样直接处理电子校正。使用扩散量子蒙特卡罗(DMC)方法,如在QMCPACK中所实施的,我们计算了MNO和Mno $ _ {mathrm {2}} $和三元佩罗姆的结构参数的凝聚能量,形成能量和结构参数_ {mathrm {3}} $。接下来,我们研究了(LA,$ a)$ mno $ _ {mathrm {3}} $(a $ = $ ca,sr和ba)的氧气空位和阳离子掺杂剂,这些候选人已被确定为适合改善的候选人母材的电化学性质。目前工作的目标是(a)量化DMC方法研究过渡金属氧化物的准确性,(b)与DMC结果相比,建立密度函数理论的不同近似的准确性,(C)向展示在另一种情况下,QMC方法是预测强相关系统的性质的准确工具。

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