对于集群和二面体晶体的ReaxFF参数集:与密度函数理论和机器学习潜力进行比较
Amin Ahmadisharaf1, Adri C T van Duin2, Bin Liu1
1Tim Taylor Department of Chemical Engineering, Kansas State University, Manhattan, Kansas 66506, United States.
研究人员对ReaxFF的参数进行了改进,以精确模拟icosahedral晶体的合成. 这一进步有助于预测高质量晶体生长的条件,这对于超硬材料和半导体至关重要.
科学领域:
- 材料科学 材料科学 材料科学
- 计算化学计算化学
- 凝聚物质物理学 凝聚物质物理学
背景情况:
- 图形形体材料在超硬材料,半导体和储能领域的应用方面表现有前途.
- 合成高品质的二元晶体仍然是阻碍技术发展的重大挑战.
- 需要准确的计算模型来预测这些先进材料的合成条件.
研究的目的:
- 开发和完善ReaxFF参数,以模拟二元体晶体的核和生长.
- 改进合成条件的计算预测高质量的二元.
主要方法:
- 通过将小团的相对能量与密度函数理论 (DFT) 计算相匹配,测试和改进了ReaxFF参数.
- 使用了B80集群的训练集,包括核心和单结构.
- 对58个团 (8-103个原子) 的测试集的精细参数与DFT进行了验证,并与现有潜力进行了比较.
主要成果:
- 精细的ReaxFF参数集准确排名B80集群,超过了大多数现有参数和一些机器学习潜力.
- 达成与DFT达成更好的协议,用于从8到103个原子的团.
- 模拟显示在结晶过程中增强了局部的二面体结构,并产生了与实验数据相一致的在融中的溶性.
结论:
- 精细的ReaxFF参数提供了一个更准确的计算工具,用于研究二元晶体形成.
- 这一进步有助于预测合成条件,为这些材料的实际应用铺平了道路.
- 改进的模型提供了更好的洞察力集群能量,结晶过程,和可溶性.
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