Molecular structure and modeling of water–air and ice–air interfaces monitored by sum-frequency generation

F Tang, T Ohto, S Sun, JR Rouxel, S Imoto… - Chemical …, 2020 - ACS Publications
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 …

Self-diffusion coefficient of bulk and confined water: a critical review of classical molecular simulation studies

IN Tsimpanogiannis, OA Moultos, LFM Franco… - Molecular …, 2019 - Taylor & Francis
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 …

Machine learning force fields for molecular liquids: Ethylene Carbonate/Ethyl Methyl Carbonate binary solvent

IB Magdău, DJ Arismendi-Arrieta, HE Smith… - npj Computational …, 2023 - nature.com
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 …

Elevating density functional theory to chemical accuracy for water simulations through a density-corrected many-body formalism

S Dasgupta, E Lambros, JP Perdew… - Nature communications, 2021 - nature.com
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 …

Reactive uptake of N2O5 by atmospheric aerosol is dominated by interfacial processes

M Galib, DT Limmer - Science, 2021 - science.org
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 …

Modeling liquid water by climbing up Jacob's ladder in density functional theory facilitated by using deep neural network potentials

C Zhang, F Tang, M Chen, J Xu, L Zhang… - The Journal of …, 2021 - ACS Publications
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 …

To pair or not to pair? Machine-learned explicitly-correlated electronic structure for NaCl in water

N O'Neill, BX Shi, K Fong, A Michaelides… - The Journal of …, 2024 - ACS Publications
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 …

Calcium ions in aqueous solutions: Accurate force field description aided by ab initio molecular dynamics and neutron scattering

T Martinek, E Duboué-Dijon, Š Timr… - The Journal of …, 2018 - pubs.aip.org
We present a combination of force field and ab initio molecular dynamics simulations
together with neutron scattering experiments with isotopic substitution that aim at …

[HTML][HTML] Learning intermolecular forces at liquid–vapor interfaces

SP Niblett, M Galib, DT Limmer - The Journal of chemical physics, 2021 - pubs.aip.org
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 …

Assessing the interplay between functional-driven and density-driven errors in DFT models of water

E Palos, E Lambros, S Swee, J Hu… - Journal of Chemical …, 2022 - ACS Publications
We investigate the interplay between functional-driven and density-driven errors in different
density functional approximations within density functional theory (DFT) and the implications …