The application of the Marcus–Hush Chidsey (MHC) formalism to heterogeneous electron transfer processes is reviewed and compared with the commonly employed Butler Volmer (BV) approach.
These species were chosen based on their water use strategies and compared with a commonly used succulent species (Sedum pachyphyllum) with conservative water use.
Here, we propose novel algorithms of full Newton-type for the NLS and CNLS estimations, which are evaluated with Monte Carlo simulations and compared with the commonly used Levenberg Marquardt method.
Prediction accuracy of the functional networks framework is evaluated and compared with the commonly used regression and neural networks-based models.
In this paper a mathematical model describing the analytical signal obtained in fluorescence sensors is presented and compared with other commonly used models.
Soil amendments of wood chips derived from tree branches of four readily available tree species (poplar, elm, pagoda tree, and grapevine), were evaluated and compared with more commonly used wheat straw, rice husks, and cow manure, using replicated microcosm experiments.
The proposed algorithm is implemented via a floating point digital signal processor and compared with other commonly used algorithms such as the Filtered-X LMS algorithm, the feedback neutralization algorithm, and the Filtered-U LMS algorithm.
The performance of each algorithm was evaluated by integrating thermochemical state data sampled from stochastic partially stirred reactor simulations and compared with the commonly used CPU-based implicit integrator CVODE.
