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金属纳米晶体熔化温度的建模:对尺寸、维度和组成的依赖性。

Modeling the melting temperature of metallic nanocrystals: dependencies on size, dimensionality, and composition.

作者信息

Ma Yanli, Li Ming, Lu Haiming

机构信息

Anhui Province Industrial Generic Technology Research Center for Alumics Materials, Huaibei Normal University Huaibei 235000 China

National Laboratory of Solid State Microstructures, Collaborative Innovation Center of Advanced Microstructures, College of Engineering and Applied Sciences, Nanjing University Nanjing Jiangsu 210093 China

出版信息

RSC Adv. 2025 May 7;15(19):14587-14593. doi: 10.1039/d5ra01939g. eCollection 2025 May 6.

Abstract

The melting temperature is an extremely important property in describing the stability of metallic nanocrystals and can be modulated by the size, dimensionality, and composition. In this study, a new model was developed to comprehend these effects on the melting temperature by considering the surface stress and the size-dependent surface energy. The developed model predicts a decrease in the melting temperature with decreasing size or dimensionality. Moreover, for nanoalloys with identical size and dimensionality, the model suggests that the melting temperature decreases as the component with lower surface energy increases. Importantly, our model's predictions are consistent with experimental and simulation data, validating its accuracy and universality.

摘要

熔点是描述金属纳米晶体稳定性的一个极其重要的性质,并且可以通过尺寸、维度和组成来调节。在本研究中,通过考虑表面应力和尺寸依赖的表面能,开发了一个新模型来理解这些对熔点的影响。所开发的模型预测,随着尺寸或维度的减小,熔点会降低。此外,对于尺寸和维度相同的纳米合金,该模型表明,随着具有较低表面能的组分增加,熔点会降低。重要的是,我们模型的预测与实验和模拟数据一致,验证了其准确性和通用性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2569/12056730/e4778f487d22/d5ra01939g-f1.jpg

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