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Optimization of long range potential interaction parameters in ion mobility spectrometry

机译:离子迁移光谱法优化远程电位相互作用参数

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The problem of optimizing Lennard-Jones (L-J) potential parameters to perform collision cross section (CCS) calculations in ion mobility spectrometry has been undertaken. The experimental CCS of 16 small organic molecules containing carbon, hydrogen, oxygen, nitrogen, and fluoride in N2 was compared to numerical calculations using Density Functional Theory (DFT). CCS calculations were performed using the momentum transfer algorithm IMoS and a 4-6-12 potential without incorporating the ion-quadrupole potential. Aceteris paribus optimization methodwas used to optimize the intercept epsilon and potential well-depth epsilon for the given atoms. This method yields important information that otherwisewould remain concealed. Results showthat the optimized L-J parameters are not necessarily unique with intercept and well-depth following an exponential relation at an existing line of minimums. Similarly, the method shows that some molecules containing atoms of interest may be ill-conditioned candidates to perform optimizations of the L-J parameters. The final calculated CCSs for the chosen parameters differ 1% on average from their experimental counterparts. This result conveys the notion that DFT calculations can indeed be used as potential candidates for CCS calculations and that effects, such as the ion-quadrupole potential or diffuse scattering, can be embedded into the L-J parameters without loss of accuracy but with a large increase in computational efficiency. Published by AIP Publishing.
机译:已经进行了优化Lennard-Jones(L-J)潜在参数以进行离子迁移光谱法执行碰撞截面(CCS)计算的问题。将N 2含有碳,氢气,氧,氮和氟化物中的16个小有机分子的实验CCS与使用密度函数理论(DFT)进行数值计算。使用动量传递算法IMOS和4-6-12电位进行CCS计算,而不包含离子 - 四极电位。 ACETERIS PARIBUS优化方法用于优化给定原子的截止ε和潜在的深度ε。该方法产生重要的信息,否则会留下隐藏。结果显示优化的L-J参数不一定是在现有最小线路的指数关系之后截取和深度唯一的。类似地,该方法表明,含有感兴趣原子的一些分子可以是不调理的候选者,以执行L-J参数的优化。所选择的参数的最终计算的CCSS平均不同于其实验对应物。该结果传达了DFT计算可以确实被用作CCS计算的潜在候选的概念,并且这种效应(例如离子 - 四极电位或漫射散射)都可以嵌入LJ参数而不会损失精度,但大幅增加计算效率。通过AIP发布发布。

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