Optimizing g‐C3$_3$N4$_4$‐Based Acceptor Materials Through Density Functional Theory‐Driven Bandgap Engineering for High‐Performance Solar Cells
sheet and the organic molecular plane became ≈ 90°, which minimizes the recombination rate of electron-hole pairs. By emphasizing the bandgap engineering of these composites, this work offers a strategy to enhance optoelectronic activity through the introduction of foreign organic moieties into the matrix.
Authors
- R DEKA
- Dhruba Jyoti Kalita (ORCID: https://orcid.org/0000-0001-5434-0682)
- Abhispa Saikia
Institutions
- Gauhati University (IN)
Publication Details
- Journal
- ChemPhysChem
- Published
- 2026-04-22
- DOI
- https://doi.org/10.1002/cphc.202500859
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.00