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NETWORK THEORETIC APPROACH TO ATOMISTIC MATERIAL MODELING USING SPECTRAL SPARSIFICATION

机译:基于光谱散度的原子材料建模的网络理论方法

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Network theory is used to formulate an atomistic material network. Spectral sparsification is applied to the network as a method for approximating the interatomic forces. Local molecular forces and the total force balance is quantified when the internal forces are approximated. In particular, we compare spectral sparsification to conventional thresholding (radial cut-off distance) of molecular forces for a Lennard-Jones potential and a Coulomb potential. The spectral sparsification for the Lennard-Jones potential yields comparable results while spectral sparsification of the Coulomb potential outperforms the thresholding approach. The results show promising opportunities which may accelerate molecular simulations containing long-range electrical interactions which are relevant to many multifunctional materials.
机译:网络理论被用来形成原子材料网络。频谱稀疏化是作为近似原子间力的方法应用于网络的。当内部力近似时,局部分子力和总力平衡被量化。特别是,我们将光谱稀疏度与Lennard-Jones势和库仑势的分子力的常规阈值化(径向截止距离)进行了比较。 Lennard-Jones电位的光谱稀疏产生可比较的结果,而库仑电位的光谱稀疏表现优于阈值方法。结果表明,有希望的机遇可能会加速包含与许多多功能材料相关的长距离电相互作用的分子模拟。

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