Porter Talmage, Vaka Michael M, Steenblik Parker, Della Corte Dennis
Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA.
Commun Chem. 2022 Jun 2;5(1):69. doi: 10.1038/s42004-022-00684-6.
Molten salts are important thermal conductors used in molten salt reactors and solar applications. To use molten salts safely, accurate knowledge of their thermophysical properties is necessary. However, it is experimentally challenging to measure these properties and a comprehensive evaluation of the full chemical space is unfeasible. Computational methods provide an alternative route to access these properties. Here, we summarize the developments in methods over the last 70 years and cluster them into three relevant eras. We review the main advances and limitations of each era and conclude with an optimistic perspective for the next decade, which will likely be dominated by emerging machine learning techniques. This article is aimed to help researchers in peripheral scientific domains understand the current challenges of molten salt simulation and identify opportunities to contribute.
熔盐是用于熔盐反应堆和太阳能应用的重要热导体。为了安全地使用熔盐,准确了解其热物理性质是必要的。然而,测量这些性质在实验上具有挑战性,并且对整个化学空间进行全面评估是不可行的。计算方法提供了获取这些性质的替代途径。在这里,我们总结了过去70年中方法的发展,并将它们分为三个相关的时代。我们回顾了每个时代的主要进展和局限性,并以对未来十年的乐观展望作为结论,未来十年可能将由新兴的机器学习技术主导。本文旨在帮助边缘科学领域的研究人员了解熔盐模拟的当前挑战,并识别做出贡献的机会。