New Computing Method Speeds Up Discovery of Renewable Energy Materials
New Computing Method Speeds Up Discovery of Renewable Energy Materials
The transition to renewable energy hinges on finding advanced materials for batteries and solar cells.
By leveraging Artificial Intelligence (AI) and machine learning, researchers can now screen thousands of chemical candidates computationally.
This approach uses high-throughput virtual screening and Density Functional Theory (DFT) to model atomic structures with high precision.
Furthermore, 'self-driving' labs, which combine AI with robotics, can test these materials 24/7 without human intervention.
