fig6

The effect of additive engineering and machine learning on high performance perovskite solar cells

Figure 6. The data-driven Co-PAS framework and molecular encoding mechanisms for perovskite photovoltaic additive discovery. (A) Schematic of the Co-PAS workflow for screening candidate additives in PSCs. The screening process involves five steps: molecule scaffold classification, model prediction, property screening, literature search, and experiment validation. Reprinted with permission[165]. Copyright 2025, John Wiley and Sons. (B) Methods for molecular representation, including Molecular Access System (MACCS) fingerprints and RDKit molecular descriptors: MACCS fingerprints illustrate the binary encoding of molecular structures, and RDKit molecular descriptors are used to quantify various molecular features. Reprinted with permission[165]. Copyright 2025, John Wiley and Sons.

Energy Materials
ISSN 2770-5900 (Online)
Follow Us

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/

Portico

All published articles are preserved here permanently:

https://www.portico.org/publishers/oae/