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A very small number of biomaterials investigated for bone regeneration was reported as able to prevent the oxidative stress. In this study beads based on alginate hydrogel and mesoporous glasses (MG) containing different amounts of cerium…

Tissues and Organs · Quantitative Biology 2021-05-24 E. Varini , S. Sanchez-Salcedo , G. Malavasi , G. Lusvardi , M. Vallet-Regi , A. J. Salinas

Despite the recent progress on two-dimensional multilayer materials (2DMM) with weak interlayer interactions, the investigation on 2DMM with strong interlayer interactions is far from its sufficiency. Here we report on first-principles…

Mesoscale and Nanoscale Physics · Physics 2015-11-26 Zhi-Xin Guo , Yue-Yu Zhang , Hongjun Xiang , Xin-Gao Gong , Atsushi Oshiyama

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

Indentation has been widely used for investigating the mechanical behavior of glasses. However, how the various microscopic properties (such as atomic structure and mechanics) of glass evolve from the immediate contact with the indenter to…

Disordered Systems and Neural Networks · Physics 2023-05-09 Linfeng Ding , Ranran Lu , Lianjun Wang , Qiuju Zheng , John C. Mauro , Zhen Zhang

This study presents a first-principles study at the level of hybrid-level density functional theory of the sodium intercalation process in a layered potassium birnessite (a layered manganese dioxide, {\delta}-MnO2). Understanding the…

The progress in understanding the behavior of glassy mixed ionic conductors within the concept of the defect model for the mixed mobile ion effect (V. Belostotsky, J. Non-Cryst. Solids 353 (2007) 1078) is reported. It is shown that in a…

Materials Science · Physics 2015-05-13 Vladimir Belostotsky

We propose a new scheme to parameterize effective potentials that can be used to simulate atomic systems such as oxide glasses. As input data for the optimization, we use the radial distribution functions of the liquid and the vibrational…

Materials Science · Physics 2018-06-13 Siddharth Sundararaman , Liping Huang , Simona Ispas , Walter Kob

The mixed alkali or mixed mobile ion effect in glasses manifests itself by strong nonlinear variations of ionic transport properties upon mixing of different types of mobile ions. We develop a theory for this effect based on thermally…

Materials Science · Physics 2026-05-01 Justus Leiber , Quinn Emilia Fischer , Sven Lohmann , Philipp Maass

We present the results of first-principles molecular-dynamics simulations of molten silicates, based on the density functional formalism. In particular, the structural properties of a calcium aluminosilicate $ [$ CaO-Al$_2$O$_3$-SiO$_2$ $…

Disordered Systems and Neural Networks · Physics 2009-11-07 Magali Benoit , Simona Ispas , Mark E. Tuckerman

New metallic glasses containing La or Ce have been introduced that have dynamic properties bordering on extremes of conventional metallic glasses. This provides opportunity to test trends or correlations established before in molecular and…

Materials Science · Physics 2015-06-15 K. L. Ngai , Z. Wang , X. Q. Gao , H. B. Yu , W. H. Wang

Glasses and gels, widely encountered amorphous solids with diverse industrial and everyday applications, share intriguing similarities such as rigidity without crystalline order and dynamic slowing down during aging. However, the underlying…

Soft Condensed Matter · Physics 2023-08-09 Yinqiao Wang , Michio Tateno , Hajime Tanaka

This study focuses on the interaction of colloidal silica nanoparticles with the magnetite (Fe3O4) magnetic fluids (MF), which eventually forms nanorod like structure. The aqueous magnetic fluid consists of magnetite nanoparticles having…

Applied Physics · Physics 2020-08-05 Nidhi Ruparelia , Urveshkumar Soni , Rucha P Desai , Arbinda Ray

Lithium borosilicate (LBS) glass is a prototypical lithium-ion conducting oxide glasses available for an all-solid state buttery. Nevertheless, the atomistic modeling of LBS glass using $ab$ $initio$ (AIMD) and classical molecular dynamics…

Materials Science · Physics 2022-11-30 Shingo Urata

Metallic glasses are excellent candidates for biomedical implant applications due to their inherent strength and corrosion resistance. Use of metallic glasses in structural applications is limited, however, because bulk dimensions are…

Materials Science · Physics 2019-02-04 Denise C. Ford , David Hicks , Corey Oses , Cormac Toher , Stefano Curtarolo

The distribution, recycling and storage of carbon in the Earth are of fundamental importance to understand the global carbon cycle between the deep Earth and near surface reservoirs. Degassing of CO2 at mid-ocean ridges may give information…

Statistical Mechanics · Physics 2015-05-27 B. Guillot , N. Sator

Arguably the most ubiquitous construction material in modern civilization, concrete is enabling the development of megacities around the globe together with increasing living standards in developing nations. However, it can be argued that…

Materials Science · Physics 2019-03-27 Kengran Yang , Claire E. White

If quenched fast enough, a liquid is able to avoid crystallization and will remain in a metastable supercooled state down to the glass transition, with an important increase in viscosity upon further cooling. There are important differences…

Disordered Systems and Neural Networks · Physics 2016-06-01 C. Yildirim , J. -Y. Raty , M. Micoulaut

The reactivity of amorphous aluminosilicates in alkaline environments is important to many applications, including blended Portland cements and alkali-activated materials (AAMs). Here, two physics-based compositional parameters are derived…

Materials Science · Physics 2023-01-18 Kai Gong , Claire E. White

Silica is the paradigmatic network glass-former and understanding its response to pressure is essential for comprehending the mechanical properties of silica-based materials and the behavior of silicate melts in the Earth's interior. While…

Disordered Systems and Neural Networks · Physics 2025-10-16 Zhen Zhang , Zhencheng Xie , Walter Kob

The development by machine learning of models predicting materials' properties usually requires the use of a large number of consistent data for training. However, quality experimental datasets are not always available or self-consistent.…

Materials Science · Physics 2019-01-29 Kai Yang , Xinyi Xu , Benjamin Yang , Brian Cook , Herbert Ramos , Mathieu Bauchy