Realistic phase diagram of water from “first principles” data-driven quantum simulations

SL Bore, F Paesani - Nature communications, 2023‏ - nature.com
Since the experimental characterization of the low-pressure region of water's phase diagram
in the early 1900s, scientists have been on a quest to understand the thermodynamic …

Current status of the MB-pol data-driven many-body potential for predictive simulations of water across different phases

E Palos, EF Bull-Vulpe, X Zhu, H Agnew… - Journal of Chemical …, 2024‏ - ACS Publications
Develo** a molecular-level understanding of the properties of water is central to
numerous scientific and technological applications. However, accurately modeling water …

Simulations of activities, solubilities, transport properties, and nucleation rates for aqueous electrolyte solutions

AZ Panagiotopoulos - The Journal of Chemical Physics, 2020‏ - pubs.aip.org
This article reviews recent molecular simulation studies of “collective” properties of aqueous
electrolyte solutions, specifically free energies and activity coefficients, solubilities …

MB-pol (2023): Sub-chemical Accuracy for Water Simulations from the Gas to the Liquid Phase

X Zhu, M Riera, EF Bull-Vulpe… - Journal of Chemical …, 2023‏ - ACS Publications
We use the MB-pol theoretical/computational framework to introduce a new family of data-
driven many-body potential energy functions (PEFs) for water, named MB-pol (2023). By …

[HTML][HTML] A “short blanket” dilemma for a state-of-the-art neural network potential for water: Reproducing experimental properties or the physics of the underlying many …

Y Zhai, A Caruso, SL Bore, Z Luo… - The Journal of Chemical …, 2023‏ - pubs.aip.org
Deep neural network (DNN) potentials have recently gained popularity in computer
simulations of a wide range of molecular systems, from liquids to materials. In this study, we …

[HTML][HTML] Comparison of permutationally invariant polynomials, neural networks, and Gaussian approximation potentials in representing water interactions through …

TT Nguyen, E Székely, G Imbalzano, J Behler… - The Journal of …, 2018‏ - pubs.aip.org
The accurate representation of multidimensional potential energy surfaces is a necessary
requirement for realistic computer simulations of molecular systems. The continued increase …

Anomalies and local structure of liquid water from boiling to the supercooled regime as predicted by the many-body MB-pol model

TE Gartner III, KM Hunter, E Lambros… - The Journal of …, 2022‏ - ACS Publications
For the past 50 years, researchers have sought molecular models that can accurately
reproduce water's microscopic structure and thermophysical properties across broad ranges …

Transferable water potentials using equivariant neural networks

T Maxson, T Szilvási - The Journal of Physical Chemistry Letters, 2024‏ - ACS Publications
Machine learning interatomic potentials (MLIPs) have emerged as a technique that promises
quantum theory accuracy for reduced cost. It has been proposed [J. Chem. Phys. 2023, 158 …

MBX: A many-body energy and force calculator for data-driven many-body simulations

M Riera, C Knight, EF Bull-Vulpe, X Zhu… - The Journal of …, 2023‏ - pubs.aip.org
Many-Body eXpansion (MBX) is a C++ library that implements many-body potential energy
functions (PEFs) within the “many-body energy”(MB-nrg) formalism. MB-nrg PEFs integrate …

[HTML][HTML] Temperature-dependent vibrational spectra and structure of liquid water from classical and quantum simulations with the MB-pol potential energy function

SK Reddy, DR Moberg, SC Straight… - The Journal of Chemical …, 2017‏ - pubs.aip.org
The structure of liquid water as a function of temperature is investigated through the
modeling of infrared and Raman spectra along with structural order parameters calculated …