The future of data analytics in catalysis is promising, with several trends expected to emerge:
- Artificial Intelligence (AI): Increased use of AI techniques to enhance predictive modeling and catalyst design. - Big Data: Utilization of big data technologies to handle and analyze vast amounts of catalytic data. - Interdisciplinary Collaboration: Greater collaboration between chemists, data scientists, and computer scientists. - Real-time Analytics: Development of systems for real-time data collection and analysis during catalytic processes. - Personalized Catalysis: Tailoring catalytic processes and materials to specific industrial needs through data-driven insights.
