首页> 外文期刊>PHYSICAL REVIEW E >First-principles calculation of entropy for liquid metals
【24h】

First-principles calculation of entropy for liquid metals

机译:液态金属熵的第一性原理计算

获取原文
获取原文并翻译 | 示例
           

摘要

We demonstrate the accurate calculation of entropies and free energies for a variety of liquid metals using annextension of the two-phase thermodynamic (2PT) model based on a decomposition of the velocity autocorrelationnfunction into gas-like (hard sphere) and solid-like (harmonic) subsystems. The hard sphere model for the gas-likencomponent is shown to give systematically high entropies for liquid metals as a direct result of the unphysicalnLorentzian high-frequency tail. Using a memory function framework we derive a generally applicable velocitynautocorrelation and frequency spectrum for the diffusive component which recovers the low-frequency (long-time)nbehavior of the hard sphere model while providing for realistic short-time coherence and high-frequency tails tonthe spectrum. This approach provides a significant increase in the accuracy of the calculated entropies for liquidnmetals and is compared to ambient pressure data for liquid sodium, aluminum, gallium, tin, and iron. The usenof this method for the determination of melt boundaries is demonstrated with a calculation of the high-pressurenbcc melt boundary for sodium. With the significantly improved accuracy available with the memory functionntreatment for softer interatomic potentials, the 2PT model for entropy calculations should find broader applicationnin high energy density science, warm dense matter, planetary science, geophysics, and material science.
机译:我们使用基于速度自相关函数分解为气体(硬球)和固体(谐波)的两相热力学(2PT)模型的附件张量,证明了各种液态金属的熵和自由能的精确计算)子系统。气体类似成分的硬球模型显示出液态金属的系统性高熵,这是非物理洛伦兹高频尾部的直接结果。使用记忆功能框架,我们为扩散成分导出了普遍适用的速度自相关和频谱,该频谱恢复了硬球模型的低频(长时间)行为,同时提供了逼真的短时相干和高频尾部频谱。 。这种方法大大提高了液态金属的熵的计算精度,并且与液态钠,铝,镓,锡和铁的环境压力数据进行了比较。通过计算钠的高压nbcc熔体边界,证明了该方法用于确定熔体边界的方法。借助记忆功能处理显着提高的精度以实现更柔软的原子间电势,用于熵计算的2PT模型应在高能量密度科学,热致密物质,行星科学,地球物理学和材料科学中得到更广泛的应用。

著录项

  • 来源
    《PHYSICAL REVIEW E》 |2013年第6期|1-9|共9页
  • 作者

    Michael P. Desjarlais;

  • 作者单位

    Sandia National Laboratories Albuquerque New Mexico 87185 USA;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号