Glass-Forming Substances and Systems

Ngai, K. L.

doi:10.1007/978-1-4419-7649-9_2

Cited by 3 publications

(1 citation statement)

References 1,029 publications

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“…However, the knowledge for the mixing behaviors is mainly based on indirect measurements using properties such as heat of mixing Δ H mix , reflecting the interactions between the unlike species, , or, dynamically, the width relaxation profile gauged by the non-exponential factor (or stretching exponent) β KWW (0 < β KWW ≤ 1) of structural α relaxation, which is crucial to address the dynamic heterogeneity in glasses and supercooled liquids . The dynamic parameter can be obtained by fitting the α-relaxation dispersion using the Kohlrausch–Williams–Watts (KWW) function, ϕ( t ) = exp[−( t /τ α ) β KWW ], where τ α is the relaxation time. , However, the quantitative relationship between the two parameters and the concentration fluctuations has not been available, and direct access to concentration fluctuations in mixing systems with higher accuracy still remains to be clarified.…”

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confidence: 99%

Quantifying Concentration Fluctuations in Binary Glass-Forming Systems by Small- and Wide-Angle X-ray Scattering

Xiao

Zhang

Wang

et al. 2022

J. Phys. Chem. Lett.

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Functionality of amorphous multicomponent systems largely depends upon the miscibility among components, especially in systems such as amorphous drugs and electrolytes. An in-depth understanding of mixing behaviors of various constituents is necessitated. Here, we applied the small-and wide-angle X-ray scattering (SWAXS) technique to monitor the mixing behaviors in three typical glass-forming binary systems imposed by varied heat of mixing. It is found that the Porod invariant (Q) determined at the glass transition temperature is remarkably enhanced as the concentration fluctuation becomes intensified. Meanwhile, the deviation of Q from the ideal mixing law is markedly weaken at elevated temperatures. The results unambiguously suggest that the degree of concentration fluctuations in mixing systems can be accurately quantified by the structural property, allowing the link to mixing thermodynamics.

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mentioning

confidence: 99%

Quantifying Concentration Fluctuations in Binary Glass-Forming Systems by Small- and Wide-Angle X-ray Scattering

Xiao

Zhang

Wang

et al. 2022

J. Phys. Chem. Lett.

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Amorphous APIs: Improved Release, Preparation, Characterization

Khodadadi

Meesters

2018

Particles and Nanoparticles in Pharmaceutical Products

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The kinetic origin of delayed yielding in metallic glasses

Ye¹,

Liu²,

Wang³

et al. 2016

Applied Physics Letters

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Recent experiments showed that irreversible structural change or plasticity could occur in metallic glasses (MGs) even within the apparent elastic limit after a sufficiently long waiting time. To explain this phenomenon, a stochastic shear transformation model is developed based on a unified rate theory to predict delayed yielding in MGs, which is validated afterwards through extensive atomistic simulations carried out on different MGs. On a fundamental level, an analytic framework is established in this work that links time, stress, and temperature altogether into a general yielding criterion for MGs.

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Glass-Forming Substances and Systems

Cited by 3 publications

References 1,029 publications

Quantifying Concentration Fluctuations in Binary Glass-Forming Systems by Small- and Wide-Angle X-ray Scattering

Quantifying Concentration Fluctuations in Binary Glass-Forming Systems by Small- and Wide-Angle X-ray Scattering

Amorphous APIs: Improved Release, Preparation, Characterization

The kinetic origin of delayed yielding in metallic glasses

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