Deep generative modeling for AI-guided inverse design of perovskite photovoltaic devices
This work presents an end-to-end AI-guided inverse-design framework that learns the conditional distribution of device parameters given target photovoltaic figures of merit and offers a transferable, reproducible, and statistically rigorous methodology for accelerating design of next-generation perovskite PV devices.
Parvez Amin Khan, Muhammad Tipu Sultan, Md Mahamudul Islam et al.
· Frontiers in Artificial Inte... · 0 citations