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[HTML][HTML] Data-driven many-body potentials from density functional theory for aqueous phase chemistry
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 …
water for over three decades. The ubiquity of water in chemical and biological processes …
Beyond steric selectivity of ions using ångström-scale capillaries
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
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
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 …
functions (PEFs), originally introduced for halide ion–water and alkali-metal ion–water …