The future prospects of AI in catalysis are promising. As data collection techniques improve and computational power increases, AI-driven systems are expected to become even more integral to the field of catalysis. Potential advancements include:
Autonomous Laboratories: Fully automated labs that use AI to design, execute, and analyze experiments. Real-time Optimization: AI systems that adjust reaction conditions in real-time to maximize efficiency. Integrated Platforms: Comprehensive platforms that combine AI with other advanced technologies like robotics and high-throughput screening.
Overall, AI-driven systems hold great potential to revolutionize the field of catalysis, leading to more efficient and sustainable chemical processes.
