2017
DOI: 10.1021/acs.jpclett.7b02270
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Direct Prediction of Calcite Surface Wettability with First-Principles Quantum Simulation

Abstract: Prediction of intrinsic surface wettability from first-principles offers great opportunities in probing new physics of natural phenomena and enhancing energy production or transport efficiency. We propose a general quantum mechanical approach to predict the macroscopic wettability of any solid crystal surfaces for different liquids directly through atomic-level density functional simulation. As a benchmark, the wetting characteristics of calcite crystal (10.4) under different types of fluids (water, hexane, an… Show more

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Cited by 35 publications
(36 citation statements)
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“…30 Besides electronic effects, the consideration of surface energies in our model is essential. Methods based on adsorption energies only, 48,60,61 although they appear well adapted for the determination of water-wetting properties, seems not to be adequate for the determination of wetting properties using a metal as a probe.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…30 Besides electronic effects, the consideration of surface energies in our model is essential. Methods based on adsorption energies only, 48,60,61 although they appear well adapted for the determination of water-wetting properties, seems not to be adequate for the determination of wetting properties using a metal as a probe.…”
Section: Discussionmentioning
confidence: 99%
“…Methods based on free energy calculations are not as straightforward as the droplet simulations but tend to provide more accurate contact angle estimates. 48 Here, the contact angles are determined through the Young equation (Figure 2), 49,50 which involves surface (γ substrate ) and interfacial (γ interface ) energies…”
Section: Methodsmentioning
confidence: 99%
“…This point is especially important when one is considering the effect of additive ions in the liquid. More recently, first-principles quantum MD simulations of such a solid-liquid interface were performed to study the intrinsic water wettability of the calcite surface [38], without considering the effect of brine composition and salinity.…”
Section: Introductionmentioning
confidence: 99%
“…We investigate this by means of a DFT-based framework developed by one of the authors that previously demonstrated to be capable of predicting macroscopic surface wettability of solid surface in contact with different liquids 14 . We predict the macroscopic surface wettability of graphite surface without inputting any experimental parameters, including water surface tensions.…”
Section: Introductionmentioning
confidence: 99%
“…U + − S m L is the total energy of a graphite surface with (m-1) overlaying water layers, U mL is the total energy of the m th water monolayer, and n L is the number of molecules in one water monolayer, which is eight in our DFT simulation domain. Our computational framework 14 allows us to extract the adhesion energy water on graphite is shown in Fig. S1(e).…”
Section: Introductionmentioning
confidence: 99%