Computational models of adsorption at metal surfaces are often based on DFT and make use of the generalized gradient approximation. This likely implies the presence of sizable errors in the gas-phase energetics.Here, we take a step closer toward chemical accuracy with a semiempirical method to correct the gas-phase energetics of PBE, PW91, RPBE, and BEEF-vdW exchange−correlation functionals. The proposed two-step method is tested on a data set of 27 gas-phase molecules belonging to the carbon cycle: first, the errors are pinpointed based on formation energies, and second, the respective corrections are sequentially applied to ensure the progressive lowering of the data set's mean and maximum errors. We illustrate the benefits of the method in electrocatalysis by a substantial improvement of the calculated equilibrium and onset potentials for CO 2 reduction to CO on Au, Ag, and Cu electrodes. This suggests that fast and systematic gas-phase corrections can be devised to augment the predictive power of computational catalysis models.
The heat of adsorption is an indicator of the strength of the interaction between an adsorbate and a solid adsorbent. This parameter can be determined from the heat released in calorimetric experiments or from the analysis of adsorption isotherms at different temperatures. The latter, called isosteric heats of adsorption, are commonly used in the characterization of materials for gas- and liquid-phase adsorption. Although the equations for the determination of isosteric heats of adsorption from the gas phase are well-known, approximate equations are frequently used for liquid-phase adsorption. We present here the rigorous equations for determining the isosteric heats of gas- and liquid-phase adsorption and their relation to the commonly used approximate equations. These equations are used to compute the isosteric heats of liquid adsorption based on the adsorption isotherms obtained from simulations for two well-defined systems, one ideal and the other nonideal. The results of using the rigorous equations are compared with those from the approximate equations. The main conclusion is that the commonly used approximate equations provide reasonable, but not perfect, estimates of the isosteric heats of liquid adsorption using only the experimental adsorption isotherms. The more accurate rigorous equations require additional information, including the heat of vaporization and, for nonideal mixtures, the heat of mixing.
It has been demonstrated that merging the inherent sorptive
behavior
of amorphous silica with organic groups increases the adsorption capabilities
of the solid silica. However, the underlying mechanism of the adsorption
process in the functionalized materials is not fully understood, limiting
the possibility of designing optimal adsorbent materials for different
applications; hence, the availability of complementary methods to
advance in this field is of great interest. Here we present results
concerning the adsorption of CO2 in amine-functionalized
silica materials, by Monte Carlo simulations, providing new insight
into the capture mechanism. We propose a simulation methodology for
the design of postsynthesis-functionalized silica materials in which
realistic model adsorbents are generated using an energy bias selection
scheme for the possible grafting sites. This methodology can be applied
to different materials. In this work, we evaluate a model MCM-41 for
CO2 adsorption using grand canonical Monte Carlo simulations,
and compared the results with available experimental data. A new methodology
is presented, which allows accounting for the chemisorbed CO2 on the adsorption isotherms. The results indicate that although
chemisorption is an important part of this process at low pressures,
physisorption also plays a significant role in the capture of CO2 in these materials. Functionalization increases the interactions
of the CO2 molecules with the surface, whereas it decreases
the available space for adsorption of CO2; the overall
efficiency of the improved adsorption lies on the availability of
adsorption space versus stronger interactions. In addition to the
adsorption isotherms, we studied the configurations of the amine chains
during the adsorption process for different degrees of functionalization
as well as the effect of the concentration of grafted amines on the
adsorption isotherm. The overall results show that molecular simulations
serve as a guide to quantify the CO2 amount that can be
easily sorbed for carbon capture applications, highlighting the importance
of this approach.
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