计算机科学
非线性系统
动能
数值积分
可见的
运动仿真
非线性回归
速率方程
参数空间
空格(标点符号)
点(几何)
统计物理学
生物系统
应用数学
回归分析
模拟
数学
物理
动力学
机器学习
经典力学
统计
数学分析
几何学
操作系统
量子力学
生物
作者
Kenneth A. Johnson,Zachary Booth Simpson,Thomas Blom
标识
DOI:10.1016/j.ab.2008.12.024
摘要
We describe a new dynamic kinetic simulation program that allows multiple data sets to be fit simultaneously to a single model based on numerical integration of the rate equations describing the reaction mechanism. Unlike other programs that allow fitting based on numerical integration of rate equations, in the dynamic simulation rate constants, output factors, and starting concentrations of reactants can be scrolled while observing the change in the shape of the simulated reaction curves. Fast dynamic simulation facilitates the exploration of initial parameters that serve as the starting point for nonlinear regression in fitting data and facilitates exploration of the relationships between individual constants and observable reactions. The exploration of parameter space by dynamic simulation provides a powerful tool for learning kinetics and for evaluating the extent to which parameters are constrained by the data. This feature is critical to avoid overly complex models that are not supported by the data.
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