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Knisel (1980) reported a field-scale model for chemicals, runoff, erosion from agricultural management systems, called CREAMS.
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The conventional business model for chemical information has been to collect it, enhance it, then charge for access.
At the end, it presents a model for chemical mining.
A discrete stochastic mixing model for chemical reactors is presented.
Langham and Jain developed a model for chemical mutagenicity based on atom pair features [64].
Figure 3 (A) Decomposition curves and (B) model for chemical control.
This chapter presents a conceptual model for chemical product/process design, on top of which optimization formulations are then proposed.
In the paper, the study lays emphasis on the simulation and application of a spread model for chemical multi disasters.
For example, when there is no physical changes in the dosage form occur, then the Arrhenius model for chemical reaction can be used.
Here we have presented our deep-learning model for chemical named entities recognition in biomedical texts, trained and evaluated on the CHEMDNER corpus.
Ferrio and Wassick (2008) proposed an MILP model for chemical multi-product supply network, containing production centers, an arbitrary number of DCs, and customers.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com