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The high cooling rate needed for preparing the metallic glass (MG) makes the nonequilibrium nature of glass formation more prominent and requires a better quenching technique than ever before. Here, we formulate the cooling process in an…

Materials Science · Physics 2023-09-19 Jian Guo Wang

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

Bulk metallic glass forms when liquid metal alloys solidify without crystalization. In the search for Iron-based bulk glass-forming alloys of the metal-metalloid type (Fe-B- and Fe-C-based), crystals based on the structural prototype C6Cr23…

Materials Science · Physics 2009-11-10 M. Widom , M. Mihalkovic

We use a random forest model to predict the critical cooling rate (RC) for glass formation of various alloys from features of their constituent elements. The random forest model was trained on a database that integrates multiple sources of…

Various combinations of characteristic temperatures, such as the glass transition temperature, liquidus temperature, and crystallization temperature, have been proposed as predictions of the glass forming ability of metal alloys. We have…

During the solidification of Al-Sm metallic glasses the evolution of the supercooled liquid atomic structure has been identified with an increasing population of icosahedral-like clusters with increasing Sm concentration. These clusters…

Computational Physics · Physics 2016-08-04 G. B. Bokas , L. Zhao , J. H. Perepezko , I. Szlufarska

Using molecular dynamics simulations with embedded atom model potential, we study structural evolution of ${\rm Cu_{64.5}Zr_{35.5}}$ alloy during the cooling in a wide range of cooling rates $\gamma\in(1.5\cdot 10^{9},10^{13})$ K/s.…

Disordered Systems and Neural Networks · Physics 2016-08-03 R. E. Ryltsev , B. A. Klumov , N. M. Chtchelkatchev

Three liquid crystalline equimolar mixtures are formulated, each containing the MHPOBC compound and the homolog from the 3FmHPhF6 series with m = 4, 5, and 6. The properties of the mixtures are investigated by differential scanning…

Soft Condensed Matter · Physics 2025-06-19 Aleksandra Deptuch , Anna Paliga , Anna Drzewicz , Michał Czerwiński , Ewa Juszyńska-Gałązka

Using molecular simulations, we shed light on the mechanism underlying crystal nucleation in metal alloys and unravel the interplay between crystal nucleation and glass transition, as the conditions of crystallization lie close to this…

Materials Science · Physics 2021-04-13 Caroline Desgranges , Jerome Delhommelle

The advent of computational material sciences has paved the way for data-driven approaches for modeling and fabrication of materials. The prediction of properties like the glass-forming ability (GFA) by using the variation in alloy…

Materials Science · Physics 2020-05-19 Akash Ravi , Prakash P , Kailashnath N

Glass formation is one of the most interesting phenomena in the condensed matter field. Considerable effort has gone into understanding and predicting the glass formability. However, the previous prediction requires the glass first made…

Materials Science · Physics 2019-02-12 R. Dai , R. Ashcraft , A. K. Gangopadhyay , K. F. Kelton

The influence of thermal processing on the potential energy, atomic structure, and mechanical properties of metallic glasses is examined using molecular dynamics simulations. We study the three-dimensional binary mixture, which was first…

Soft Condensed Matter · Physics 2019-12-23 Nikolai V. Priezjev

Multiple distinct glass states occur in binary hard-sphere mixtures with constituents of very disparate sizes according to the mode-coupling theory of the glass transition (MCT), distinguished by considering whether small particles remain…

Soft Condensed Matter · Physics 2015-05-20 Th. Voigtmann

We present an event-driven molecular dynamics study of glass formation in two-dimensional binary mixtures composed of hard disks and hard ellipses, where both types of particles have the same area. We demonstrate that characteristic…

Soft Condensed Matter · Physics 2015-05-27 Wen-Sheng Xu , Xiaozheng Duan , Zhao-Yan Sun , Li-Jia An

Glasses form the basis of many modern applications and also hold great potential for future medical and environmental applications. However, their structural complexity and large composition space make design and optimization challenging…

The glass-formation range of bulk metallic glasses (BMGs) based on lanthanum and cerium was pinpointed in La-Al-Co, Ce-Al-Co and pseudo-ternary (La-Ce)-Al-Co system respectively by copper mold casting. Through the stepwise substitution of…

Materials Science · Physics 2007-05-23 Ran Li , Shujie Pang , Chaoli Ma , Tao Zhang

A correlation between the change in magnetic susceptibility ({\Delta}\c{hi}exp) upon crystallization of Cu-Zr, Hf metallic glasses (MG) with their glass forming ability (GFA) observed recently is found to apply to Cu-Ti and Zr-Ni alloys,…

Materials Science · Physics 2017-12-20 E. Babić , R. Ristić , I. A. Figueroa , D. Pajić , Ž. Skoko , K. Zadro

The influence of strain amplitude, glass stability and thermal fluctuations on shear band formation and yielding transition is studied using molecular dynamics simulations. The model binary mixture is first gradually cooled below the glass…

Soft Condensed Matter · Physics 2020-08-03 Nikolai V. Priezjev

The atomic structure of the supercooled liquid has often been discussed as a key source of glass formation in metals. The presence of icosahedrally-coordinated clusters and their tendency to form networks have been identified as one…

Materials Science · Physics 2013-10-30 Logan Ward , Dan Miracle , Wolfgang Windl , Oleg Senkov , Katharine Flores

Molecular dynamics simulations were performed for five monatomic metallic liquids and the atomic structural characteristics and dynamical properties were systematically investigated and compared for understanding the underlying structural…

Disordered Systems and Neural Networks · Physics 2022-04-06 X. Qin , J. Q. Wu , M. Z. Li