With the characteristics of high-speed calculation and high-accuracy prediction, artificial intelligence (AI) which also known as machine intelligence, including deep learning, machine learning, etc., have shown great advantages in cross-field applications. In material science field, AI can be used to discover new materials and predict corresponding critical properties. At present, AI has been used in the exploitation of energy conversion materials and other energy-related materials. In this review, we summary the current achievements of AI applications in energy conversions, analyze the advantages and disadvantages of AI techniques in material researches and point out future development prospects.

具有高速计算和高精度预测的特征，包括深度学习，机器学习等在内的也被称为机器智能的人工智能（AI）在跨领域应用中显示出巨大的优势。在材料科学领域，人工智能可用于发现新材料并预测相应的关键特性。目前，人工智能已用于能源转换材料和其他能源相关材料的开发。在这篇综述中，我们总结了AI技术在能量转换中的最新成就，分析了AI技术在材料研究中的优缺点，并指出了未来的发展前景。