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New Intelligent Laboratory Systems Research from National Center for Scientific Research (CNRS) Discussed

机译:讨论了国家科学研究中心(CNRS)的新型智能实验室系统研究

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"This work tackles the problem of convolution of femtosecond spectrokinetic data with the instantaneous nresponse function (IRF) of the measurement by hybrid hard- and soft-modeling multivariate curve nresolution (MCR). Fitting the time-dependent concentration profiles obtained during the MCR iterative noptimization by a kinetic model convoluted with a parametric description of the IRE the approach benefits nof the advantages of both hard- and soft-modeling," scientists writing in the journal Chemometrics and nIntelligent Laboratory Systems report.
机译:“这项工作通过混合硬模型和软模型多元曲线n分辨率(MCR)解决了飞秒光谱动力学数据与瞬时n响应函数(IRF)的卷积问题。拟合了在MCR迭代过程中获得的随时间变化的浓度曲线通过用IRE的参数描述进行卷积的动力学模型进行优化,这种方法从硬建模和软建模的优点中受益,”科学家在《化学计量学》和《 nIntelligent Laboratory Systems》杂志上发表的文章中说。

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