English
Related papers

Related papers: Water modeled as an intermediate element between c…

200 papers

Water in nanoscale cavities is ubiquitous and of central importance to everyday phenomena in geology and biology. However, the properties of nanoscale water can be remarkably different from bulk, as shown e.g., by the anomalously low…

Materials Science · Physics 2025-01-08 Venkat Kapil , Christoph Schran , Andrea Zen , Ji Chen , Chris J. Pickard , Angelos Michaelides

The network connectivity in liquid water is revised in terms of electronic signatures of hydrogen bonds (HBs) instead of geometric criteria, in view of recent X-ray absorption studies. The analysis is based on ab initio molecular-dynamics…

Other Condensed Matter · Physics 2009-11-11 M. V. Fernandez-Serra , Emilio Artacho

The structure of water confined in MCM41 silica cylindrical pores is studied to determine if confined water really is simply a version of the bulk liquid which can be substantially supercooled without crystallisation. A combination of total…

Soft Condensed Matter · Physics 2013-09-27 A K Soper

The phase diagram of water harbours many mysteries: some of the phase boundaries are fuzzy, and the set of known stable phases may not be complete. Starting from liquid water and a comprehensive set of 50 ice structures, we compute the…

Statistical Mechanics · Physics 2021-01-27 Aleks Reinhardt , Bingqing Cheng

We suggest a simple model to describe polyamorphism in single-component fluids using a maximum-valence approach. The model contains three types of interactions: i) atoms attract each other by van der Waals forces that generate a liquid-gas…

Soft Condensed Matter · Physics 2022-07-20 Nikolay A. Shumovskyi , Thomas J. Longo , Sergey V. Buldyrev , Mikhail A. Anisimov

Molecular dynamics (MD) simulations of ions (K$^+$, Na$^+$, Ca$^{2+}$ and Cl$^-$) in aqueous solutions are investigated. Water is described using the SPC/E model. A stochastic coarse-grained description for ion behaviour is presented and…

Computational Physics · Physics 2016-04-27 Radek Erban

In this work we develop a new classical perturbation theory for water which incorporates the transition to tetrahedral symmetry in both the dispersion and hydrogen bonding contributions to the free energy. This transition is calculated…

Soft Condensed Matter · Physics 2019-03-25 Bennett D. Marshall

Although a great number of computational models of water are available today, the majority of current biological simulations are done with simple models, such as TIP3P and SPC, developed almost thirty years ago and only slightly modified…

Chemical Physics · Physics 2015-05-07 Igor Leontyev , Alexei Stuchebrukhov

In this article we investigate through molecular dynamics simulations the diffusion behavior of the TIP4P/2005 water when confined in pristine and deformed carbon nanotubes (armchair and zigzag). To analyze different diffusive mechanisms,…

Soft Condensed Matter · Physics 2021-02-03 Bruno H. S. Mendonça , Patricia Ternes , Evy Salcedo , Alan B. de Oliveira , Marcia C. Barbosa

The discovery of high-density liquid (HDL) and low-density liquid (LDL) water has been a major success of molecular simulations, yet extending this analysis to interfacial water is challenging due to conventional order parameters assuming…

Soft Condensed Matter · Physics 2025-09-03 Pal Jedlovszky , Christoph Dellago , Marcello Sega

It has recently been shown that the TIP4P/Ice model of water can be studied numerically in metastable equilibrium at and below its liquid-liquid critical temperature. We report here simulations along a subcritical isotherm, for which two…

Soft Condensed Matter · Physics 2021-06-02 Riccardo Foffi , John Russo , Francesco Sciortino

Liquid polymorphism is an intriguing phenomenon which has been found in a few single-component systems, the most famous being water. By supercooling liquid Te to more than 130 K below its melting point and performing simultaneous…

Most water in the universe may be superionic, and its thermodynamic and transport properties are crucial for planetary science but difficult to probe experimentally or theoretically. We use machine learning and free energy methods to…

Computational Physics · Physics 2021-11-24 Bingqing Cheng , Mandy Bethkenhagen , Chris J. Pickard , Sebastien Hamel

Water is essential for almost every aspect of life on our planet and, unsurprisingly, its properties have been studied in great detail. However, disproportionately little remains known about the electrical properties of interfacial and…

The lack of accurate low-energy electron scattering cross sections for liquid water is a substantial source of uncertainty in the modelling of radiation chemistry and biology. The use of existing amorphous ice scattering cross sections for…

Soft Condensed Matter · Physics 2020-05-27 Ruth Signorell

The dielectric permittivity of liquid water is a fundamental property that underlies its distinctive behaviors in numerious physical, biological, and chemical processes. Within a machine learning framework, we present a unified approach to…

Soft Condensed Matter · Physics 2025-08-11 Kehan Cai , Chunyi Zhang , Xifan Wu

Water is a notoriously difficult substance to model both accurately and efficiently. Here, we focus on descriptions with a single coarse-grained particle per molecule using the so-called Approximate Non-Conformal (ANC) and generalized…

Soft Condensed Matter · Physics 2017-10-25 Tonalli Rodríguez-López , Yuriy Khalak , Mikko Karttunen

Water is essential for the activity of proteins. However, the effect of the properties of water on the behavior of proteins is only partially understood. Recently, several experiments have investigated the relation between the dynamics of…

Biological Physics · Physics 2015-03-17 Giancarlo Franzese , Valentino Bianco , Svilen Iskrov

Stimulated by the renewed interest and recent developments in semi-empirical quantum chemical (SQC) methods for noncovalent interactions, we examine the properties of liquid water at ambient conditions by means of molecular dynamics (MD)…

Amorphous materials are coming within reach of realistic computer simulations, but new approaches are needed to fully understand their intricate atomic structures. Here, we show how machine-learning (ML)-based techniques can give new,…