A ML–DFT-based synergy to design new phenazine-based photovoltaic polymer designs with lowest exciton binding energies
Fields of Study & Subjects
Organic Electronics and Photovoltaics
Machine Learning in Materials Science
Conducting polymers and applications
Publication details
- Journal / source
- Journal of Computational Electronics
- Publisher
- Springer Science and Business Media LLC
- Volume
- 25
- Issue
- 2
- Publication date
- 28 March 2026
- Language
- EN