As machine learning (ML) continues to advance in the field of materials science, the variation in strategies for the same steps of the ML workflow becomes increasingly significant. These details can have a substantial impact on results, yet they have not received the deserved attention. This review aims to explore the various strategies available for each detail within the general workflow of materials ML. Firstly, the general workflow of materials ML will be introduced to help readers gain an understanding of potential details. Subsequently, different strategies of details within each step of the workflow will be presented through state-of-the-art case studies. The potential outcomes associated with choosing different strategies to details will be explored. Following this, suitable strategies for details will be recommended based on distinct application scenarios. Finally, directions for the future development of materials ML concerning details will be proposed. Through these discussions, we aspire to offer a comprehensive understanding of the nuances in details within materials ML. This will serve as valuable reference and guidance for researchers in both materials science and ML.

随着机器学习 (ML) 在材料科学领域的不断发展，ML 工作流程中相同步骤的策略变化变得越来越显着。这些细节可能会对结果产生重大影响，但尚未得到应有的重视。本次综述旨在探索材料 ML 的一般工作流程中每个细节可用的各种策略。首先，将介绍材料机器学习的一般工作流程，以帮助读者了解潜在的细节。随后，工作流程每个步骤中的不同细节策略将通过最先进的案例研究来呈现。将探讨与选择不同的细节策略相关的潜在结果。接下来，将根据不同的应用场景推荐合适的细节策略。最后，提出有关细节的材料ML未来发展方向。通过这些讨论，我们渴望全面了解材料 ML 中细节的细微差别。这将为材料科学和机器学习领域的研究人员提供有价值的参考和指导。