What is the Future of Machine Learning in Catalysis?
The future of ML in catalysis looks promising with advancements in: - Automated Laboratories: Integration of ML with automated labs can lead to high-throughput screening and real-time optimization. - Interdisciplinary Approaches: Combining insights from chemistry, materials science, and data science will likely yield breakthroughs in catalyst design. - Open Data Initiatives: Increased sharing of data within the scientific community can enhance the training of robust ML models.
