Materials Science Center, National Renewable Energy Laboratory, Golden, CO, 80401, USA.
Department of Mechanical Engineering, Colorado School of Mines, Golden, CO, 80401, USA.
Adv Mater. 2019 Mar;31(11):e1807406. doi: 10.1002/adma.201807406. Epub 2019 Jan 22.
The opportunity for enhanced functional properties in semiconductor solid solutions has attracted vast scientific interest for a variety of novel applications. However, the functional versatility originating from the additional degrees of freedom due to atomic composition and ordering comes along with new challenges in characterization and modeling. Developing predictive synthesis-structure-property relationships is prerequisite for effective materials design strategies. Here, a first-principles based model for property prediction in such complex semiconductor materials is presented. This framework incorporates nonequilibrium synthesis, dopants and defects, and the change of the electronic structure with composition and short range order. This approach is applied to ZnSnN (ZTN) which has attracted recent interest for photovoltaics. The unintentional oxygen incorporation and its correlation with the cation stoichiometry leads to the formation of a solid solution with dual sublattice mixing. A nonmonotonic doping behavior as a function of the composition is uncovered. The degenerate doping of near-stoichiometric ZTN, which is detrimental for potential applications, can be lowered into the 10 cm range in highly off-stoichiometric material, in quantitative agreement with experiments.
半导体固溶体中增强功能特性的机会引起了广泛的科学关注,因为其具有各种新颖的应用。然而,由于原子组成和有序性带来的额外自由度,其功能多样性也带来了在特性描述和建模方面的新挑战。开发预测性的合成-结构-特性关系是有效材料设计策略的前提。这里提出了一种用于此类复杂半导体材料特性预测的基于第一性原理的模型。该框架包含非平衡合成、掺杂和缺陷,以及电子结构随组成和短程有序的变化。该方法应用于 ZnSnN(ZTN),它最近在光伏领域引起了关注。非故意氧的掺入及其与阳离子化学计量比的相关性导致形成具有双亚晶格混合的固溶体。揭示了组成函数的非单调掺杂行为。近化学计量比 ZTN 的简并掺杂不利于潜在应用,在高度非化学计量比材料中可以降低到 10 cm 范围内,与实验结果定量一致。