Screening novel cathode materials from the Energy-GNoME database using foundation machine learning force fields and DFT
The development of new cathodes is essential for enabling next generation energy storage technologies. Here, we introduce a multi-fidelity workflow that bridges AI-based candidate identification and density functional theory refinement for accelerated discovery of cathode materials. Starting from the Energy-GNoME dat...