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Related papers: Revealing the Atomic Structure of Silicate Glasses…

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Understanding and controlling physical aging, i.e. the spontaneous temporal evolution of out-of-equilibrium systems, represents one of the greatest tasks in material science. Recent studies have revealed the existence of a complex atomic…

Materials Science · Physics 2016-02-17 V. M. Giordano , B. Ruta

Using molecular dynamics simulations we investigate the dependence of the structural and vibrational properties of the surfaces of sodo-silicate glasses on the sodium content as well as the nature of the surface. Two types of glass surfaces…

Disordered Systems and Neural Networks · Physics 2020-10-28 Zhen Zhang , Simona Ispas , Walter Kob

We use \textit{ab initio} molecular dynamics simulations to investigate the properties of the dry surface of pure silica and sodium silicate glasses. The surface layers are defined based on the atomic distributions along the direction…

Materials Science · Physics 2021-05-12 Zhen Zhang , Walter Kob , Simona Ispas

Using large-scale molecular dynamics simulations, we investigate the surface properties of lithium, sodium, and potassium silicate glasses containing 25 mole % of alkali oxide. The comparison of two types of surfaces, a melt-formed surface…

Disordered Systems and Neural Networks · Physics 2023-07-12 Zhen Zhang , Simona Ispas , Walter Kob

Quaternary CaO-MgO-Al2O3-SiO2 glasses are important constituents of the Earth's lower crust and mantle, and they also have important industrial applications such as in metallurgical processes, concrete production and emerging low-CO2 cement…

Materials Science · Physics 2021-01-20 Kai Gong , V. Ongun Özçelik , Kengran Yang , Claire E. White

Data-driven machine learning methods have the potential to dramatically accelerate the rate of materials design over conventional human-guided approaches. These methods would help identify or, in the case of generative models, even create…

Materials Science · Physics 2022-07-28 Victor Fung , Shuyi Jia , Jiaxin Zhang , Sirui Bi , Junqi Yin , P. Ganesh

The applications of machine learning techniques to chemistry and materials science become more numerous by the day. The main challenge is to devise representations of atomic systems that are at the same time complete and concise, so as to…

Chemical Physics · Physics 2025-10-06 Michael J. Willatt , Felix Musil , Michele Ceriotti

We use ab initio simulations to study the static and dynamic properties of a sodium borosilicate liquid with composition 3Na_2O-B_2O_3-6SiO_2, i.e. a system that is the basis of many glass-forming materials. In particular we focus on the…

Disordered Systems and Neural Networks · Physics 2018-02-28 Laurent Pedesseau , Simona Ispas , Walter Kob

Machine Learning (ML) techniques are revolutionizing the way to perform efficient materials modeling. Nevertheless, not all the ML approaches allow for the understanding of microscopic mechanisms at play in different phenomena. To address…

Materials Science · Physics 2022-06-22 Udaykumar Gajera , Loriano Storchi , Danila Amoroso , Francesco Delodovici , Silvia Picozzi

We use large-scale simulations to investigate the dynamic fracture of silica and sodium-silicate glasses under uniaxial tension. The stress-strain curves demonstrate that silica glass is brittle whereas the glasses rich in Na show…

Disordered Systems and Neural Networks · Physics 2023-02-15 Zhen Zhang , Simona Ispas , Walter Kob

Developing accurate, transferable, and computationally-efficient interatomic forcefields is key to facilitate the modeling of silicate glasses. However, the high number of forcefield parameters that need to be optimized render traditional…

Materials Science · Physics 2019-02-12 Han Liu , Zipeng Fu , Yipeng Li , Nazreen Farina Ahmad Sabri , Mathieu Bauchy

Using molecular dynamics simulations, with a realistic many-body embedded-atom potential, and a novel method to characterize local order, we study the structure of pure nickel during the rapid quench of the liquid and in the resulting…

Disordered Systems and Neural Networks · Physics 2016-08-15 Oscar Rodríguez de la Fuente , José M. Soler

The structure and the electronic properties of a sodium tetrasilicate (Na${}_2$Si${}_4$O${}_9$) glass were studied by combined Car-Parrinello and classical molecular-dynamics simulations. The glass sample was prepared using a method…

Disordered Systems and Neural Networks · Physics 2009-11-07 Simona Ispas , Magali Benoit , Philippe Jund , Remi Jullien

Establishing the composition-structure-property relationships for amorphous materials is critical for many important natural and engineering processes, including the dissolution of highly complex volcanic glasses. In this investigation, we…

Materials Science · Physics 2021-08-02 Kai Gong , Elsa Olivetti

Being able to predict the failure of materials based on structural information is a fundamental issue with enormous practical and industrial relevance for the monitoring of devices and components. Thanks to recent advances in deep learning,…

Nuclear spent fuel reprocessing generates high level radioactive waste with high Mo concentration that are currently immobilized in borosilicate glass matrices containing both alkali and alkaline-earth elements [1]. Because of its high…

Structural mechanisms in disordered materials like amorphous semi-conductors and glasses can be explored with the activation-relaxation technique (ART). The application of a sequence of such mechanisms allows for the generation of…

Condensed Matter · Physics 2009-10-31 G. T. Barkema , Normand Mousseau

An atomistic understanding of annealing embrittlement is a longstanding issue for metallic glasses, which is still lacking due to the insurmountable gap between the thermal history of atomic models and laboratory-made samples. Here, based…

Materials Science · Physics 2022-08-30 Rui Su , Shan Zhang , Xuefeng Zhang , Yong Yang , Weihua Wang , Pengfei Guan

Over the last two decades, scanning tunnelling microscopy (STM) has become one of the most important ways to investigate the structure of crystal surfaces. STM has helped achieve remarkable successes in surface science such as finding the…

Materials Science · Physics 2009-11-10 Cristian V. Ciobanu , Cristian Predescu