The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.jpclett.5c00602. Further information on the data set generation for all ...
We investigate how deep learning-based methods can be applied to solve stiff systems of ordinary differential equations modeling complex chemical kinetic systems. We use artificial neural networks ...
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Abstract: The chemical kinetics of the formation of two-dimensional (2D) crystalline and amorphous silicon nitride (SiN) layers on the Si(111) surface during nitridation has been studied as a function ...
You can download a release for Windows 10/11 which includes the executable Eyring Eq X.X.exe. Alternatively, if you choose to set up your own environment: Get a ...
Researchers demonstrate the implementation of a remote laboratory activity to teach students about enzyme kinetics. The COVID-19 pandemic forced teachers across the globe to embrace remote learning.
For the risk assessor, the value of release kinetics data—actual or assumed—is threefold: (1) It achieves a more clinically relevant estimate of exposure; (2) It offers a better understanding of the ...
Bayesian experimental design is a tool for guiding experiments founded on the principle of expected information gain. I.e., which experiment design will inform the most about the model can be ...
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