arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1901.08620cond-mat.dis-nncond-mat.mtrl-scicond-mat.stat-mech
收藏

非晶硅几乎无缺陷模型的原子模拟:基于信息的方法

Atomistic simulation of nearly defect-free models of amorphous silicon: An information-based approach

Dil K. Limbu, Raymond Atta-Fynn, Parthapratim Biswas

摘要:

我们提出了一种基于信息的总能量优化方法来产生几乎无缺陷的非晶硅结构模型。利用无序四面体网络的几何、结构和拓扑信息,我们已经证明,生成非晶硅的结构构型是可能的,这优于从传统的反向Monte Carlo和分子动力学模拟获得的模型。这里提出的新的数据驱动的混合方法是能够产生原子模型的结构和电子特性,这是与那些从修改后的Wooten-Winer-Weaire(WWW)模型的非晶硅。结构,电子和热力学性质的混合模型进行比较,从使用机器智能为基础的潜力和有效的经典分子动力学模拟,在最近的文献中报道的最佳动力学模型。我们已经表明,与WWW模型,我们的混合模型代表了迄今为止最好的结构模型之一,结合实验衍射数据和一些结构约束的总能量为基础的蒙特卡罗方法。

英文摘要:

We present an information-based total-energy optimization method to produce nearly defect-free structural models of amorphous silicon. Using geometrical, structural and topological information from disordered tetrahedral networks, we have shown that it is possible to generate structural configurations of amorphous silicon, which are superior than the models obtained from conventional reverse Monte Carlo and molecular-dynamics simulations. The new data-driven hybrid approach presented here is capable of producing atomistic models with structural and electronic properties which are on a par with those obtained from the modified Wooten-Winer-Weaire (WWW) models of amorphous silicon. Structural, electronic and thermodynamic properties of the hybrid models are compared with the best dynamical models obtained from using machine-intelligence-based potentials and efficient classical molecular-dynamics simulations, reported in the recent literature. We have shown that, together with the WWW models, our hybrid models represent one of the best structural models so far produced by total-energy-based Monte Carlo methods in conjunction with experimental diffraction data and a few structural constraints.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑