To overcome these challenges, researchers can: - Enhance Data Collection: Ensuring high-quality and comprehensive data collection can improve the accuracy of AI and ML models. - Develop Explainable Models: Focusing on developing explainable AI models can help in understanding their predictions and gaining trust in their use. - Collaborate Across Disciplines: Collaboration between chemists, data scientists, and engineers can facilitate the integration of AI and ML into catalysis research, leveraging expertise from multiple fields.
