Materials Informatics is a scientific discipline that leverages data science techniques to study and advance the development of materials, and is considered the fourth pillar of scientific inquiry. In traditional research, researchers rely on their personal experience and intuition to develop hypotheses, conduct experiments, and create materials through trial and error. However, Materials Informatics utilizes artificial intelligence to uncover hidden patterns and trends in materials and catalyst data, facilitating materials development through machine learning. Our research is grounded in four foundational pillars: "materials, catalysts, measurement, and processes," Informatics. They involve "the creation of comprehensive databases through high-throughput experiments and calculations", "data science methods centered on artificial intelligence", "traditional experiments and calculations", and "software development". We focus our research efforts on heterogeneous catalysts such as methane oxidation reactions, perovskite materials, CO2 reduction, and water electrolysis.