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Molecular structure and modeling of water–air and ice–air interfaces monitored by sum-frequency generation
From a glass of water to glaciers in Antarctica, water–air and ice–air interfaces are abundant
on Earth. Molecular-level structure and dynamics at these interfaces are key for …
on Earth. Molecular-level structure and dynamics at these interfaces are key for …
Self-diffusion coefficient of bulk and confined water: a critical review of classical molecular simulation studies
We present a detailed overview of classical molecular simulation studies examining the self-
diffusion coefficient of water. The self-diffusion coefficient is directly associated with the …
diffusion coefficient of water. The self-diffusion coefficient is directly associated with the …
Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent
Highly accurate ab initio molecular dynamics (MD) methods are the gold standard for
studying molecular mechanisms in the condensed phase, however, they are too expensive …
studying molecular mechanisms in the condensed phase, however, they are too expensive …
Elevating density functional theory to chemical accuracy for water simulations through a density-corrected many-body formalism
Density functional theory (DFT) has been extensively used to model the properties of water.
Albeit maintaining a good balance between accuracy and efficiency, no density functional …
Albeit maintaining a good balance between accuracy and efficiency, no density functional …
Reactive uptake of N2O5 by atmospheric aerosol is dominated by interfacial processes
Nitrogen oxides are removed from the troposphere through the reactive uptake of N2O5 into
aqueous aerosol. This process is thought to occur within the bulk of an aerosol, through …
aqueous aerosol. This process is thought to occur within the bulk of an aerosol, through …
Modeling liquid water by climbing up Jacob's ladder in density functional theory facilitated by using deep neural network potentials
Within the framework of Kohn–Sham density functional theory (DFT), the ability to provide
good predictions of water properties by employing a strongly constrained and appropriately …
good predictions of water properties by employing a strongly constrained and appropriately …
To pair or not to pair? Machine-learned explicitly-correlated electronic structure for NaCl in water
The extent of ion pairing in solution is an important phenomenon to rationalize transport and
thermodynamic properties of electrolytes. A fundamental measure of this pairing is the …
thermodynamic properties of electrolytes. A fundamental measure of this pairing is the …
Calcium ions in aqueous solutions: Accurate force field description aided by ab initio molecular dynamics and neutron scattering
We present a combination of force field and ab initio molecular dynamics simulations
together with neutron scattering experiments with isotopic substitution that aim at …
together with neutron scattering experiments with isotopic substitution that aim at …
[HTML][HTML] Learning intermolecular forces at liquid–vapor interfaces
By adopting a perspective informed by contemporary liquid-state theory, we consider how to
train an artificial neural network potential to describe inhomogeneous, disordered systems …
train an artificial neural network potential to describe inhomogeneous, disordered systems …
Assessing the interplay between functional-driven and density-driven errors in DFT models of water
We investigate the interplay between functional-driven and density-driven errors in different
density functional approximations within density functional theory (DFT) and the implications …
density functional approximations within density functional theory (DFT) and the implications …