What are the Challenges in Achieving Algorithmic Efficiency in Catalysis?
Several challenges need to be addressed to achieve algorithmic efficiency in catalysis:
Complexity of Catalytic Systems: Catalytic systems often involve complex interactions that are difficult to model accurately. Data Quality: High-quality, extensive datasets are required for machine learning models to be effective. Computational Resources: High-performance computing resources are essential to run advanced algorithms and simulations efficiently. Interdisciplinary Knowledge: Combining expertise from chemistry, physics, computer science, and engineering is necessary to develop and implement efficient algorithms.
