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On the origin of multi-component bulk metallic glasses: Atomic size mismatches and de-mixing

TLDR
In this paper, the authors studied the role of geometric frustration and demixing in determining the critical cooling rate R(c) for ternary hard-sphere systems, and found that when the diameter ratios are close to 1, such that the largest (A) and smallest (C) species are well-mixed, the glass-forming ability of such systems is no better than that of the optimal binary glass former.
Abstract
The likelihood that an undercooled liquid vitrifies or crystallizes depends on the cooling rate R. The critical cooling rate R(c), below which the liquid crystallizes upon cooling, characterizes the glass-forming ability (GFA) of the system. While pure metals are typically poor glass formers with R(c)>10(12)K/s, specific multi-component alloys can form bulk metallic glasses (BMGs) even at cooling rates below R∼1 K/s. Conventional wisdom asserts that metal alloys with three or more components are better glass formers (with smaller R(c)) than binary alloys. However, there is currently no theoretical framework that provides quantitative predictions for R(c) for multi-component alloys. In this manuscript, we perform simulations of ternary hard-sphere systems, which have been shown to be accurate models for the glass-forming ability of BMGs, to understand the roles of geometric frustration and demixing in determining R(c). Specifically, we compress ternary hard sphere mixtures into jammed packings and measure the critical compression rate, below which the system crystallizes, as a function of the diameter ratios σ(B)/σ(A) and σ(C)/σ(A) and number fractions x(A), x(B), and x(C). We find two distinct regimes for the GFA in parameter space for ternary hard spheres. When the diameter ratios are close to 1, such that the largest (A) and smallest (C) species are well-mixed, the GFA of ternary systems is no better than that of the optimal binary glass former. However, when σ(C)/σ(A) ≲ 0.8 is below the demixing threshold for binary systems, adding a third component B with σ(C) < σ(B) < σ(A) increases the GFA of the system by preventing demixing of A and C. Analysis of the available data from experimental studies indicates that most ternary BMGs are below the binary demixing threshold with σ(C)/σ(A) < 0.8.

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Accelerated discovery of metallic glasses through iteration of machine learning and high-throughput experiments

TL;DR: This work trains a machine learning model on previously reported observations, parameters from physiochemical theories, and makes it synthesis method–dependent to guide high-throughput experiments to find a new system of metallic glasses in the Co-V-Zr ternary, and provides a quantitatively accurate, synthesis method-sensitive predictor for metallic glasses that improves performance with use and thus promises to greatly accelerate discovery of many new metallic glasses.
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Models and algorithms for the next generation of glass transition studies

TL;DR: In this paper, a comprehensive analysis of eleven glass-forming models is presented to demonstrate that both structural ordering and the dramatic increase of relaxation times at low temperatures can be efficiently tackled using carefully designed models of size polydisperse supercooled liquids together with an efficient Monte Carlo algorithm where translational particle displacements are complemented by swaps of particle pairs.
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Machine Learning Approach for Prediction and Understanding of Glass-Forming Ability

TL;DR: By applying the support vector classification method, models for predicting the GFA of binary metallic alloys from random compositions are developed and suggest that machine learning is very powerful and efficient and has great potential for discovering new metallic glasses with good GFA.
Journal ArticleDOI

Spectral descriptors for bulk metallic glasses based on the thermodynamics of competing crystalline phases

TL;DR: A descriptor based on the heuristics that structural and energetic ‘confusion' obstructs crystalline growth is proposed, and its validity is demonstrated by experiments on two well-known glass-forming alloy systems.
Journal ArticleDOI

Materials selection rules for amorphous complexion formation in binary metallic alloys

TL;DR: In this article, a set of materials selection rules aimed at predicting the formation of amorphous complexions, with an emphasis on encouraging the segregation of dopants to the interfaces and lowering the formation energy for a glassy structure.
References
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Journal ArticleDOI

Stabilization of metallic supercooled liquid and bulk amorphous alloys

TL;DR: In this article, the authors investigated the stabilization properties of the supercooled liquid for a number of alloys in the Mg-, lanthanide-, Zr-, Ti-, Fe-, Co-, Pd-Cu- and Ni-based systems.
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TL;DR: Current theoretical knowledge of the manner in which intermolecular forces give rise to complex behaviour in supercooled liquids and glasses is discussed.
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Bond-orientational order in liquids and glasses

TL;DR: In this paper, the authors studied the bond-orientational order in molecular-dynamics simulations of supercooled liquids and in models of metallic glasses and found that the order is predominantly icosahedral, although there is also a cubic component which they attribute to the periodic boundary conditions.
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Atomic packing and short-to-medium-range order in metallic glasses

TL;DR: This work uses a combination of state-of-the-art experimental and computational techniques to resolve the atomic-level structure of amorphous alloys and elucidate the different types of short-range order as well as the nature of the medium- range order.