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Case Studies of Dimensionality in Chemical Data
European Journal of Organic Chemistry ( IF 2.5 ) Pub Date : 2024-12-24 , DOI: 10.1002/ejoc.202400949
Alex Blokhuis, Robert Pollice

In this work, we use kinetic data dimension analysis, which is grounded in chemical reaction network theory, to analyze reaction monitoring data and extract the number of linearly independent reactions. We demonstrate the power of this approach for mechanism elucidation on 4 case studies with experimental data from the literature by deriving new insights.

中文翻译:


化学数据维数案例研究



在这项工作中,我们使用基于化学反应网络理论的动力学数据维度分析来分析反应监测数据并提取线性独立反应的数量。我们通过得出新的见解,用文献中的实验数据在 4 个案例研究中证明了这种方法在机制阐明方面的力量。
更新日期:2024-12-24
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