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According to Raman spectroscopy and transmission electron microscopy data, hydrogen concentration in reaction mixture strongly affects the structural features and density of segmented filaments.
A steady-state model, based on the Point Defect Model, was developed to account for polarization data, hydrogen evolution data, and the measured faradaic efficiency of the lithium/water system.
According to our data, hydrogen sulfide from pore water of the deep basin sediments probably has no influence on the content of hydrogen sulfide in the water column.
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Our calculation shows a good agreement with experimental data for hydrogen absorption and desorption on Mg.
The model's prediction agrees with experimental data for hydrogen oxidation on platinum in sulfuric acid.
The analysis of experimental data on hydrogen ignition delay in the presence of nitrogen oxides has been carried out.
Data from hydrogen peroxide, but not superoxide or hydroxyl radical, assays showed statistically significant increases in this specific ROS.
Artificial neural networks have been used for the correlation and prediction of solubility data of hydrogen sulfide in ionic liquids.
The entrainment coefficients of 0.09 and 0.08 are found to fit the experimental data for hydrogen leaks with the Froude number of 99 and 268 best, respectively.
Simulation results are compared against test data on hydrogen release into a T-shaped channel at pressure 1.2 2.9 MPa and helped to explain experimental observations.
This report is an overview of the available data on hydrogen isotope retention and recycling for beryllium, tungsten, carbon, and selected liquid metals.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com