What are Some Applications of High Dimensional Datasets in Catalysis?
High dimensional datasets have numerous applications in the field of catalysis:
Accelerated Catalyst Discovery: By leveraging predictive models, researchers can quickly identify promising catalyst candidates from a vast chemical space. Optimization of Reaction Conditions: Multi-variable data allows for the fine-tuning of reaction conditions to maximize yield and selectivity. Mechanistic Insights: Detailed datasets facilitate the elucidation of complex reaction mechanisms, enabling the design of more efficient catalysts.
