密度泛函理论
计算机科学
材料设计
从头算
热电材料
钥匙(锁)
纳米技术
材料科学
热电效应
工程物理
系统工程
计算化学
物理
热力学
化学
万维网
工程类
量子力学
计算机安全
作者
Jun Kang,Xie Zhang,Su‐Huai Wei
出处
期刊:Chinese Physics B
[IOP Publishing]
日期:2022-08-16
卷期号:31 (10): 107105-107105
被引量:19
标识
DOI:10.1088/1674-1056/ac89d7
摘要
The growing worldwide energy needs call for developing novel materials for energy applications. Ab initio density functional theory (DFT) calculations allow the understanding and prediction of material properties at the atomic scale, thus, play an important role in energy materials design. Due to the fast progress of computer power and development of calculation methodologies, DFT-based calculations have greatly improved their predictive power, and are now leading to a paradigm shift towards theory-driven materials design. The aim of this perspective is to introduce the advances in DFT calculations which accelerate energy materials design. We first present state-of-the-art DFT methods for accurate simulation of various key properties of energy materials. Then we show examples of how these advances lead to the discovery of new energy materials for photovoltaic, photocatalytic, thermoelectric, and battery applications. The challenges and future research directions in computational design of energy materials are highlighted at the end.
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