Combining hard- and soft-modelling to solve kinetic problems
By A. de Juan, M. Maeder, Manuel Martínez, Romà Tauler. 2000
291 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Control and Systems Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/f91967187b9af1d172c24f9687d2bc5dda856a31
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In Analytical Chemistry
In Control and Systems Engineering
In Industrial and Manufacturing Engineering
Citations in the corpus
- MCR-ALS GUI 2.0: New features and applications (2015, methodology): “In this way, MCRALS can become a hybrid ‘hard-soft’ modeling algorithm [7].”
- Multiset Data Analysis: Extended Multivariate Curve Resolution (2020, methodology): “The strategy to suppress ambiguity and provide more chemical insight into the chemical behavior of the system involves the use of the chemical model linked to the kinetic process as a hard-modeling constraint.(50) In this example, both experiments follow the same mechanism but the rate constant can ”
- Multivariate Curve Resolution (MCR) from 2000: Progress in Concepts and Applications (2006, methodology): “Nowadays, hard models have been introduced in MCR as constraints to act in a partial or a total manner on concentration or response profiles ( 56 , 57 , 58 ).”