Your English writing platform
Discover LudwigExact(1)
The pressure dependence of the barrier coefficient can be explained by the existence of either Langmuir kinetics with a distribution of pore sizes or shell diffusion where the adsorbent with constricted pores in the shell has different equilibrium characteristics than the adsorbent in the core of a particle.
Similar(59)
In the simple model, allowing for a different isotherm in the shell results in a loading dependence of the surface barrier transport coefficient that is different from what would be expected if the isotherms in the two regions were the same.
For example, the top five solvents for approximating the blood brain barrier partition coefficient are methylcyclohexane, 1,9-decadiene, octane, cyclohexane, and decane.
The single-barrier transmission coefficient 1/|α|2 (gray lines) and the tunneling time τ1 (dark lines) as functions of the reduced barrier width b/λ, when the electron energies are E=0.122516 eV, E=0.15 eV and E=0.2 eV.
The experimental barrier resistance coefficients for all gases on both materials increase with pressure.
The boundary of the absolute stability of the graphitic phase was interpreted as the spinodal point of the free-energy, which allowed us to calculate the pressure dependence of the barrier-height coefficient.
Figure 1 The single-barrier transmission coefficient and the tunneling time.
Graphical abstract: Predicted blood-brain barrier partition coefficients coloured by measured log BB value.
It was observed that the predicted CNS activities of all tested compounds were quite low, in agreement with the moderate blood/brain barrier (BBB) coefficients.
A parametrization of the MolFESD is done for three solvents (n-octanol/water, alkane/water and cyclohexane/water) followed by its application to the prediction of brain-blood barrier partition coefficients (logBB).
Effects of the design parameters, i.e., the external force, the heat leakage coefficient, barrier height of the potential, asymmetry of the sawtooth potential and heat reservoir temperature ratio on the performance of the Brownian heat pump are discussed in detail.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com