重新考虑对焦焦化物矿的耐受性因子分析
Jonathan W Turnley1, Shubhanshu Agarwal1, Rakesh Agrawal1
1Davidson School of Chemical Engineering, Purdue University, West Lafayette, Indiana 47907, USA. agrawalr@purdue.edu.
Materials horizons
|July 22, 2024
概括
耐受性因子准确地预测了氧化物和化物矿,但对于石灰化物是失败的. 这项研究通过考虑共价性来完善耐受性因子,改善了对硫化物矿的预测.
科学领域:
- 材料科学 材料科学 材料科学
- 固态化学 固态化学
- 晶体学 晶体学是指结晶学.
背景情况:
- 耐受性因子分析是预测矿结构的关键方法.
- 由于结合差异,现有的模型与石灰化矿扎.
- 对新材料的准确预测对于技术进步至关重要.
研究的目的:
- 重新评估对矿材料的耐受性因子的应用.
- 开发提高化硫矿选方法.
- 为了考虑到共价对离子半径的影响,在容忍因子计算中.
主要方法:
- 调整离子半径计算以包括结合共价值.
- 实施一个多步的选过程.
- 使用八面体因子,耐受性因子和电子阴性差异标准.
主要成果:
- 经过修改的耐受性因子计算显示,对石灰的实验数据的一致性更好.
- 拟议的选策略提高了硫化矿的预测准确性.
- 确定了影响硫化物矿稳定性和形成的关键参数.
结论:
- 传统的耐受性因子需要修改,以基矿为准.
- 调整共价值对于这些系统中精确的离子半径至关重要.
- 开发的选方法为发现新型硫化物矿提供了更可靠的途径.
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