亚稳态
铌
氮化物
理论(学习稳定性)
相(物质)
化学计量学
材料科学
晶体结构
氮化铌
晶体结构预测
化学物理
计算机科学
热力学
结晶学
化学
物理
纳米技术
物理化学
冶金
机器学习
有机化学
图层(电子)
作者
Diego Restrepo-Leal,J. Sierra‐Ortega,G. Elizabeth Escorcia-Salas
出处
期刊:Data in Brief
[Elsevier BV]
日期:2020-07-22
卷期号:32: 106054-106054
标识
DOI:10.1016/j.dib.2020.106054
摘要
This document presents a dataset on various stoichiometric Niobium nitrides compounds under different pressures, which have been identified by first-principles calculations in combination with an evolutionary algorithm methodology implemented in the USPEX code in its variable-composition mode. The feature of this methodology is to find the ground state or metastable structures with only the knowledge of chemical composition at given pressure conditions and predict through all possible structures, not relying on any prior known structural information. We have successfully predicted the crystal structures and phase transitions of NbN at pressures up to 100 GPa. Because the Niobium nitrides represent a rich family of phases where the stability and microstructures are still not completely understood, it is exciting to find news structures of NbxNy under high pressure.
科研通智能强力驱动
Strongly Powered by AbleSci AI