The field of catalyst screening is evolving with advancements in technology and methodologies:
Machine learning: AI and machine learning algorithms are being used to analyze large datasets and predict catalyst performance, accelerating the discovery process. Green chemistry: There is a growing focus on developing catalysts that are environmentally benign and derived from renewable resources. Integrated approaches: Combining experimental, computational, and data-driven techniques offers a more comprehensive understanding of catalyst behavior.
