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Glass transition in metallic glasses: A microscopic model of topological fluctuations in the bonding network

机译:金属玻璃中的玻璃化转变:键合网络中拓扑波动的微观模型

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摘要

Understanding of the structure and dynamics of liquids and glasses at an atomistic level lags well behind that of crystalline materials, even though they are important in many fields. Metallic liquids and glasses provide an opportunity to make significant advances because of its relative simplicity. We propose a microscopic model based on the concept of topological fluctuations in the bonding network. The predicted glass transition temperature, T_g, shows excellent agreement with experimental observations in metallic glasses. To our knowledge this is the first model to predict the glass transition temperature quantitatively from measurable macroscopic variables.
机译:尽管对液体和玻璃的结构和动力学在许多领域都很重要,但对它们的原子级水平的了解远远落后于晶体材料。金属液体和玻璃由于其相对简单而提供了重大进步的机会。我们提出了基于键合网络中拓扑波动概念的微观模型。预测的玻璃化转变温度T_g与金属玻璃中的实验观察结果非常吻合。据我们所知,这是第一个根据可测量的宏观变量定量预测玻璃化转变温度的模型。

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