Advancing electrocatalyst discovery through the lens of data science
Peer-Reviewed Publication
Updates every hour. Last Updated: 31-Jul-2025 22:11 ET (1-Aug-2025 02:11 GMT/UTC)
Researchers from AIMR developed an AI-driven approach to model carbon growth on metal surfaces with high accuracy. By integrating molecular dynamics, time-stamped force-biased Monte Carlo simulations, and machine learning, their method replicates key processes like carbon diffusion and graphene nucleation, enabling scalable, efficient carbon nanomaterial production for electronics and energy storage.