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The striking anomalies in physical properties of supercooled water that were discovered in the 1960-70s, remain incompletely understood and so provide both a source of controversy amongst theoreticians, and a stimulus to experimentalists…

化学物理 · 物理学 2016-05-31 Sander Woutersen , Michiel Hilbers , Zuofeng Zhao , C. Austen Angell

We present a multi-lattice kinetic Monte Carlo (kMC) approach that efficiently describes the atomistic dynamics of morphological transitions between commensurate structures at crystal surfaces. As an example we study the reduction of a…

介观与纳米尺度物理 · 物理学 2015-01-09 Max J. Hoffmann , Matthias Scheffler , Karsten Reuter

Water scarcity is a dilemma facing much of the global population. Cation intercalation desalination (CID) cells, which use intercalation host compounds (IHCs) in combination with ion-exchange membranes (IEMs), could aid in addressing this…

化学物理 · 物理学 2016-12-28 Kyle C. Smith

Water and silicon are chemically dissimilar substances with common physical properties. Their liquids display a temperature of maximum density, increased diffusivity on compression, they form tetrahedral crystals and tetrahedral amorphous…

软凝聚态物质 · 物理学 2008-09-18 Valeria Molinero , Emily B. Moore

A first principles machine learning model has been developed aimed at studying the formation of calcium carbonate from aqueous solution using molecular dynamics simulations. The model, dubbed SCAN-ML, reproduces accurately the potential…

化学物理 · 物理学 2025-03-19 Pablo M. Piaggi , Julian D. Gale , Paolo Raiteri

A mathematical model describing a steady pH-gradient in the solution of ampholytes in water has been studied with the use of analytical, asymptotic, and numerical methods. We show that at the large values of an electric current a…

化学物理 · 物理学 2009-02-24 L. V. Sakharova , V. A. Vladimirov , M. Yu. Zhukov

Machine Learning (ML) is a powerful tool for material science applications. Artificial Neural Network (ANN) is a machine learning technique that can provide high prediction accuracy. This study aimed to develop an ANN model to predict the…

机器学习 · 计算机科学 2023-08-14 Masoume Kazemi , Davood Moradkhani , Alireza A. Alipour

The thermal conductivity of organic liquids is a vital parameter influencing various industrial and environmental applications, including energy conversion, electronics cooling, and chemical processing. However, atomistic simulation of…

The mathematical model describing the non-stationary natural pH-gradient arising under the action of an electric field in an aqueous solution of ampholytes (amino acids) is constructed. The model is a part of a more general model of the…

化学物理 · 物理学 2013-11-26 E. V. Shiryaeva , N. M. Zhukova , M. Yu. Zhukov

It is established that liquid metals exhibit surface layering at the liquid-vapor interface, while dielectric simple systems, like those interacting through Lennard-Jones potentials, show a monotonic decay from the liquid density to that of…

无序系统与神经网络 · 物理学 2009-11-11 Luis E. Gonzalez , David J. Gonzalez

Molecular dynamics in pure water and aqueous salt solutions remain incompletely understood, partly due to the apparent contradictions between results from different spectroscopic techniques. In this work, we demonstrate, by detailed…

软凝聚态物质 · 物理学 2025-12-22 Rolf Zeißler , Florian Pabst , Thomas Blochowicz

Alkaline vents (AV) are hypothesized to have been a setting for the emergence of life, by creating strong gradients across inorganic membranes within chimney structures. In the past, 3-dimensional chimney structures were formed under…

This letter presents a novel approach for identifying uncorrelated atomic configurations from extensive data sets with a non-standard neural network workflow known as random network distillation (RND) for training machine-learned…

计算物理 · 物理学 2023-09-08 Jan Finkbeiner , Samuel Tovey , Christian Holm

Simplified, classical models of water are an integral part of atomistic molecular simulations, especially in biology and chemistry where hydration effects are critical. Yet, despite several decades of effort, these models are still far from…

化学物理 · 物理学 2015-01-13 Saeed Izadi , Ramu Anandakrishnan , Alexey V. Onufriev

Droplet nucleation and evaporation are ubiquitous in nature and many technological applications, such as phase-change cooling and boiling heat transfer. So far, the description of these phenomena at the molecular scale has posed challenges…

流体动力学 · 物理学 2023-11-28 Panagiotis E. Theodorakis , Y. Wang , A. Chen , B. Liu

Although electrolyte density measurements have been reported for over a century, employing them to obtain accurate partial molar volume (PMV) profiles as a function of salt concentration has remained elusive. Obtaining such curves requires…

Carbon dioxide (CO$_2$) sequestration in saline aquifers has been introduced as one of the most practical, long-term, and safe solutions to tackle a growing threat originating from the emission of CO$_2$. Successfully executing and planning…

介观与纳米尺度物理 · 物理学 2021-09-07 Sina Omrani , Mehdi Ghasemi , Saeed Mahmoodpour , Ali Shafiei , Behzad Rostami

Additive manufacturing (AM) processes produce parts with improved physical, chemical, and mechanical properties compared to conventional manufacturing processes. In AM processes, intricate part geometries are produced from multicomponent…

材料科学 · 物理学 2018-01-04 Supriyo Ghosh

The nucleation of crystals from the liquid melt is often characterized by a competition between different crystalline structures or polymorphs, and can result in nuclei with heterogeneous compositions. These mixed-phase nuclei can display…

软凝聚态物质 · 物理学 2021-08-26 Fabio Leoni , John Russo

In this work we give the analysis of the low frequency dielectric response of selected kaolinitic clays at different water content ranging from dry, over plastic to liquid limit. For all samples investigated, depending on the moisture…

软凝聚态物质 · 物理学 2016-08-31 Dean Korosak , Janja Kramer , Renata Jecl , Bruno Cvikl , Miran Veselic