[HTML][HTML] Data-driven many-body potentials from density functional theory for aqueous phase chemistry

E Palos, S Dasgupta, E Lambros… - Chemical Physics …, 2023 - pubs.aip.org
Density functional theory (DFT) has been applied to modeling molecular interactions in
water for over three decades. The ubiquity of water in chemical and biological processes …

Beyond steric selectivity of ions using ångström-scale capillaries

S Goutham, A Keerthi, A Ismail, A Bhardwaj… - Nature …, 2023 - nature.com
Ion-selective channels play a key role in physiological processes and are used in many
technologies. Although biological channels can efficiently separate same-charge ions with …

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 …

General many-body framework for data-driven potentials with arbitrary quantum mechanical accuracy: Water as a case study

E Lambros, S Dasgupta, E Palos, S Swee… - Journal of Chemical …, 2021 - ACS Publications
We present a general framework for the development of data-driven many-body (MB)
potential energy functions (MB-QM PEFs) that represent the interactions between small …

Data-driven many-body potential energy functions for generic molecules: Linear alkanes as a proof-of-concept application

EF Bull-Vulpe, M Riera, SL Bore… - Journal of Chemical …, 2022 - ACS Publications
We present a generalization of the many-body energy (MB-nrg) theoretical/computational
framework that enables the development of data-driven potential energy functions (PEFs) for …

How good are polarizable and flexible models for water: Insights from a many-body perspective

E Lambros, F Paesani - The Journal of Chemical Physics, 2020 - pubs.aip.org
We present a systematic analysis of state-of-the-art polarizable and flexible water models
from a many-body perspective, with a specific focus on their ability to represent the Born …

Toward high-level machine learning potential for water based on quantum fragmentation and neural networks

J Liu, J Lan, X He - The Journal of Physical Chemistry A, 2022 - ACS Publications
Accurate and efficient simulation of liquids, such as water and salt solutions, using high-level
wave function theories is still a formidable task for computational chemists owing to the high …

Data-Driven Many-Body Models for Molecular Fluids: CO2/H2O Mixtures as a Case Study

M Riera, EP Yeh, F Paesani - Journal of Chemical Theory and …, 2020 - ACS Publications
In this study, we extend the scope of the many-body TTM-nrg and MB-nrg potential energy
functions (PEFs), originally introduced for halide ion–water and alkali-metal ion–water …