What Techniques are Used in Accelerated Discovery?
Several advanced techniques are employed to accelerate catalyst discovery:
High-throughput screening (HTS): This involves rapidly testing a large number of catalyst candidates under various conditions to identify the most promising ones. Computational modeling: Using quantum mechanics and molecular dynamics simulations to predict the behavior of catalysts and guide experimental efforts. Machine learning: Algorithms can analyze vast datasets to identify patterns and predict which catalyst compositions will be most effective. In-situ characterization: Techniques such as X-ray diffraction and spectroscopy are used to study catalysts in real-time under reaction conditions.
