The design of new glasses is often plagued by poorly efficient Edisonian “trial-and-error” discovery approaches. As an alternative route, the Materials Genome Initiative has largely popularized new approaches relying on artificial intelligence and machine learning for accelerating the discovery and optimization of novel, advanced materials. Here, we review some recent progress in adopting machine learning to accelerate the design of new glasses with tailored properties.

中文翻译：

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玻璃科学与工程的机器学习：回顾

新眼镜的设计经常受到效率低下的爱迪生式“试错”发现方法的困扰。作为一种替代途径，材料基因组计划已广泛推广了依靠人工智能和机器学习来加快发现和优化新型先进材料的新方法。在这里，我们回顾了采用机器学习来加速具有定制属性的新眼镜的设计方面的最新进展。