machine learning techniques

What is the future outlook of Machine Learning in Catalysis?

The future of machine learning in catalysis looks promising. Advances in computational power, coupled with the growing availability of high-quality datasets, are expected to enhance the predictive capabilities of ML models. Furthermore, the development of explainable AI techniques will likely make these models more interpretable, fostering greater trust and adoption in the scientific community. Collaborative efforts between data scientists and chemists will be crucial in unlocking the full potential of machine learning in catalysis, leading to groundbreaking discoveries and more efficient industrial processes.

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