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Efficient DFT prediction of chemical and structural stability using van der Waals correction: application for A3B2Ga3O12 garnets (A = Lu, Y and B = Al, Sc)

范德瓦尔斯力 晶格常数 理论(学习稳定性) 格子(音乐) 热力学 材料科学 常量(计算机编程) 晶格能 分子 物理 化学 计算机科学 晶体结构 结晶学 机器学习 量子力学 衍射 声学 程序设计语言
作者
Sittichain Pramchu,Chumpol Supatutkul,Phatthranit Srisakonsub
出处
期刊:Journal of Physics: Condensed Matter [IOP Publishing]
卷期号:36 (10): 105901-105901
标识
DOI:10.1088/1361-648x/ad10ca
摘要

Abstract Several seamless van der Waals (vdW) correction methods available for a wide range of systems could be expected to enhance stability predictions by accounting for the vdW effect. The stability of material can be evaluated using chemical potential phase diagram (CPD) which reveals the elemental chemical potential conditions for a successful synthesis. In this work, viability of various vdW correction approaches in improving the accuracy of stability prediction for A 3 B 2 Ga 3 O 12 garnets (A = Lu, Y and B = Al, Sc) has been studied. From the results, we have found that vdW-df-cx, Grimme-D3, vdW-df-c09, and vdW-df2-c09 significantly improve Δ H prediction with MAPE of >5.0% lower than PBE, which exhibit their potential for stability prediction based on the CPD analysis. For CPD construction whose reliability is based on Δ H prediction, vdW-df-cx which can minimize the MAPE in Δ H , relative to experimental data, is selected as the best method among all studied vdW approaches. A more accurate description of total energy of O 2 molecule and the competing compounds with layered structure can be also acquired by incorporating vdW interaction. However, the MAPE in lattice constant reveals that there is no significant improvement of lattice constant prediction for the studied garnets and their competing compounds. The vdW method which gives the MAPE in lattice constant slightly lower than that of PBE is vdW-df2-b86r. Although we found that the vdW corrections can improve material stability prediction, there is still room for the development of a novel DFT-based vdW method capable of accurately predicting both the lattice constant and Δ H of solids, including complex materials like garnets.
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