The first process involves synthesizing materials without machine learning. In this process, ideas such as designing experimental setups, determining the chemical composition, and listing the measurement conditions are initially planned. The material is then synthesized, and its characterization is performed in the next step. If the material does not meet the required expectations, the synthesis process is repeated by changing methods such as the chemical composition or varying the measurement conditions until the desired results are achieved. On the other hand, the second technique, which is the'Machine Learning Assisted Synthesis Process', works differently.