 This research paper discusses how to use machine learning to create a new type of steel material that can be used in laser additive manufacturing, LAM, which is a process where metal parts are created through a layer by layer approach. The goal was to create a steel material that could be formed into a desired shape while also being able to withstand high pressure. The result is a steel material that is capable ofwithstanding higher pressures than other materials, making it ideal for applications such as automotive components. This article was authored by Chaolin Tan, Chen Li, Shilin Yao, and others.