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首页> 外文期刊>Bulletin of the American Physical Society >APS -APS March Meeting 2017 - Event - High throughput quantum Monte Carlo calculations of material formation energies
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APS -APS March Meeting 2017 - Event - High throughput quantum Monte Carlo calculations of material formation energies

机译:APS -APS 2017年3月会议-活动-材料形成能的高通量量子蒙特卡洛计算

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High throughput calculations based on approximate density functional theory (DFT) methods have been widely implemented in the scientific community although depending on both the properties of interest as well as particular chemical/structural phase space, accuracy even for correct trends remains a key challenge for DFT. In this work, quantum Monte Carlo calculations are applied using a recipe developed for a high throughput computing environment. We compare our approach to different DFT methods as well as different pseudopotentials, showing that errors in QMC calculations can be progressively improved especially when correct pseudopotentials are used. We show that using this simple automated recipe, QMC calculations can outperform DFT calculations over a wide set of materials. We show that out of 21 compounds tested, chemical accuracy has been obtained in formation energies of 11 structures using our QMC recipe, compared to none using DFT calculations.
机译:尽管根据感兴趣的特性以及特定的化学/结构相空间,即使基于正确的趋势,精确度仍然是DFT的主要挑战,但基于近似密度泛函理论(DFT)方法的高通量计算已在科学界得到广泛实施。 。在这项工作中,使用针对高通量计算环境开发的配方应用量子蒙特卡洛计算。我们将我们的方法与不同的DFT方法以及不同的伪势进行了比较,显示出QMC计算中的错误可以逐步得到改善,尤其是当使用正确的伪势时。我们证明,使用这种简单的自动化配方,QMC计算可以在多种材料上胜过DFT计算。我们表明,在使用QMC配方测试的11种化合物中,使用11种结构的形成能获得了化学准确性,而使用DFT计算则没有化学准确性。

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