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We present results of molecular dynamics (MD) simulations for a non-entangled polymer melt confined between two completely smooth and repulsive walls, interacting with inner particles via the potential $U_{\rm wall}\myeq (\sigma/z)^9$,…

Soft Condensed Matter · Physics 2009-11-07 F. Varnik , J. Baschnagel , K. Binder

We investigate the effect of a single heat treatment cycle on the potential energy states and mechanical properties of metallic glasses using molecular dynamics simulations. We consider the three-dimensional binary mixture, which was…

Soft Condensed Matter · Physics 2019-06-14 Nikolai V. Priezjev

Mechanical amorphization, a widely observed phenomenon, has been utilized to synthesize novel phases by inducing disorder through external loading, thereby expanding the realm of glass-forming systems. Empirically, it has been plausible…

Materials Science · Physics 2024-06-25 Xinxin Li , Baoshuang Shang , Haibo Ke , Zhenduo Wu , Yang Lu , Haiyang Bai , Weihua Wang

Melting is a high temperature process that requires extensive sampling of configuration space, thus making melting temperature prediction computationally very expensive and challenging. Over the past few years, I have built two methods to…

Materials Science · Physics 2022-04-12 Qi-Jun Hong

We propose a theory based on simple physical arguments that describes a non equilibrium steady-state by a temperature-like parameter (an "effective temperature"). We show how one can predict the effective temperature as a function of the…

Statistical Mechanics · Physics 2012-01-31 Ido Regev , Xiangdong Ding , Turab Lookman

Superconductivity has been the focus of enormous research effort since its discovery more than a century ago. Yet, some features of this unique phenomenon remain poorly understood; prime among these is the connection between…

When liquids are cooled rapidly, they bypass crystallization and instead enter a supercooled state and then a glass state. Previous studies have shown that the static structure factors of high-temperature liquids, supercooled liquids, and…

Soft Condensed Matter · Physics 2026-01-14 Bowen Duan , Ge Zhang

We report excess specific heat in a series of metallic glass forming liquids. It is found that the excess specific heat relative to glass at glass transition temperature Tg is constant and close to, where R is gas constant. In the typical…

Materials Science · Physics 2011-07-12 Hai Bo Ke , Ping Wen , Wei Hua Wang

The analysis of the damage on plasma facing materials (PFM), due to its direct interaction with the plasma environment, is needed to build the next generation of nuclear machines, where tungsten has been proposed as a candidate. In this…

Materials Science · Physics 2019-10-29 F. J. Domínguez-Gutiérrez , J Byggmästar , K. Nordlund , F. Djurabekova , U von Toussaint

Long-term chemical durability of glass, crucial for immobilizing nuclear waste, is governed by glass properties such as composition, surface geometry, as well as external factors like thermodynamic conditions and surrounding medium. Despite…

Broadband dielectric spectroscopy was used to study the molecular orientational dynamics of the glass-forming, thioether-linked cyanobiphenyl liquid crystal dimers. As was expected theoretically, two different relaxation processes that…

Soft Condensed Matter · Physics 2023-04-18 M. Czarnecka , Y. Arakawa , A. Kocot , K. Merkel

In computational materials science, a common means for predicting macroscopic (e.g., mechanical) properties of an alloy is to define a model using combinations of descriptors that depend on some material properties (elastic constants,…

Materials Science · Physics 2022-10-17 Ivan Novikov , Olga Kovalyova , Alexander Shapeev , Max Hodapp

Thermal spray coating is a critical process in many industries, involving the application of coatings to surfaces to enhance their functionality. This paper proposes a framework for modelling and predicting critical target variables in…

Applications · Statistics 2024-04-29 Wolfgang Rannetbauer , Simon Hubmer , Carina Hambrock , Ronny Ramlau

The immense dependence of the glass transition temperature $T_g$ on molecular weight $M$ is one of the most fundamentally and practically important features of polymer glass formation. Here, we report on molecular dynamics simulation of…

Soft Condensed Matter · Physics 2024-05-30 William F. Drayer , David S. Simmons

Studying the physical properties of materials under high pressure and temperature through experiments is difficult. Theoretical simulations can compensate for this deficiency. Currently, large-scale simulations using machine learning force…

Materials Science · Physics 2022-10-05 Hao Wang , Xiao-Long Pan , Yu-Feng Wang , Xiang-Rong Chen , Yi-Xian Wang , Hua Y. Geng

Refractory high-entropy alloys can function at temperatures exceeding those of nickel-based superalloys. Aluminum, as an alloying element, contributes multiple advantageous characteristics to various high-temperature alloys. The Aluminum…

Materials Science · Physics 2025-03-28 M. Sreenidhi Iyengar , M. K Anirudh , P. H. Anantha Desik , M. P. Phaniraj

Predicting the dissolution rates of silicate glasses in aqueous conditions is a complex task as the underlying mechanism(s) remain poorly understood and the dissolution kinetics can depend on a large number of intrinsic and extrinsic…

Disordered Systems and Neural Networks · Physics 2018-03-14 N. M. Anoop Krishnan , Sujith Mangalathu , Morten M. Smedskjaer , Adama Tandia , Henry Burton , Mathieu Bauchy

Resorbable magnesium (Mg) alloys are promising candidates for temporary medical devices due to their biodegradability and favorable mechanical properties. To accelerate the design of diluted Mg alloys for implants, we developed a…

Materials Science · Physics 2026-04-23 Vickey Nandal , Vít Beneš , Pavel Baláž , Jiří Ryjáček , Karel Tesař

We introduce a new quantity to probe the glass transition. This quantity is a linear generalized compressibility which depends solely on the positions of the particles. We have performed a molecular dynamics simulation on a glass forming…

Disordered Systems and Neural Networks · Physics 2009-11-07 Herve M. Carruzzo , Clare C. Yu

Surface wettability, governed by both topography and chemistry, plays a critical role in applications such as heat transfer, lubrication, microfluidics, and surface coatings. In this study, we present a machine learning (ML) framework…

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