In recent years, high-entropy alloys (HEAs) have been attracting great interests in the development and application of electro/thermo-catalytic clean energy conversion due to their unique microstructures, impressive thermal stability and excellent catalytic activities for various reactions. Recently, much effort has been devoted to the synthesis and catalytic applications of HEAs. It is of great significance and urgency to explore new HEAs for the applications in clean energy conversion and beyond. In this review, we discuss the recent development of HEAs in terms of their synthesis methodologies and catalytic applications. Four novel synthetic strategies relating to HEAs are discussed, which include carbothermal shock, fast moving bed pyrolysis (FMBP), electro-shock, and theoretical prediction methods. Importantly, we highlight the importance of computationally aided methods, e.g. density functional theory (DFT) calculations, high-throughput, and machine learning (ML), to the discovery and design of HEAs. In addition, we focus on the applications of HEAs in the field of catalytic clean energy conversion reactions, including hydrogen evolution reaction (HER), oxygen evolution reaction (OER), oxygen reduction reaction (ORR), carbon dioxide reduction reaction (CO₂RR), and ammonia (NH₃) decomposition. Furthermore, the prospects and future opportunities for utilization of HEAs from the experimental and theoretical aspects as well as their future applications in various catalytic processes have been thoroughly discussed.

近年来，由于其独特的微观结构，令人印象深刻的热稳定性和对各种反应的出色催化活性，高熵合金（HEA）在电/热催化清洁能源转化的开发和应用中引起了极大的兴趣。近来，已经对HEA的合成和催化应用进行了很多努力。探索新的HEA在清洁能源转换及以后的应用中具有重要意义和紧迫性。在这篇综述中，我们从其合成方法和催化应用的角度讨论了HEA的最新发展。讨论了与HEA有关的四种新颖的合成策略，包括碳热冲击，快速移动床热解（FMBP），电击和理论预测方法。重要的，我们强调了计算辅助方法（例如密度泛函理论（DFT）计算，高通量和机器学习（ML））对HEA的发现和设计的重要性。此外，我们专注于HEA在催化清洁能源转化反应领域中的应用，包括氢气释放反应（HER），氧气释放反应（OER），氧气还原反应（ORR），二氧化碳还原反应（CO）₂ RR）和氨（NH ₃）分解。此外，从实验和理论方面以及在各种催化过程中它们的未来应用，广泛讨论了使用HEA的前景和未来机会。