Inverse design workflow discovers hole-transport materials tailored for perovskite solar cells
Friedrich-Alexander-Universität Erlangen-Nürnberg · Helmholtz Institute Erlangen-Nürnberg · +8 more institutions
Abstract
The inverse design of tailored organic molecules for specific optoelectronic devices of high complexity holds an enormous potential but has not yet been realized. Current models rely on large data sets that generally do not exist for specialized research fields. We demonstrate a closed-loop workflow that combines high-throughput synthesis of organic semiconductors to create large datasets and Bayesian optimization to discover new hole-transporting materials with tailored properties for solar cell applications. The predictive models were based on molecular descriptors that allowed us to link the structure of these materials to their performance. A series of high-performance molecules were identified from…
Citation impact
- FWCI
- 30.20
- Percentile
- 100%
- References
- 45
Authors
22- JWJianchang WuCorresponding
Friedrich-Alexander-Universität Erlangen-Nürnberg, Helmholtz Institute Erlangen-Nürnberg
- LTLuca TorresiCorresponding
Karlsruhe Institute of Technology
- MHManli HuCorresponding
Ulsan National Institute of Science and Technology
- PRPatrick ReiserCorresponding
Karlsruhe Institute of Technology
- JZJiyun Zhang
Friedrich-Alexander-Universität Erlangen-Nürnberg, Helmholtz Institute Erlangen-Nürnberg
Topics & keywords
- Workflow
- Bayesian optimization
- Perovskite (structure)
- Computer science
- Energy conversion efficiency
- Inverse
- Bayesian probability
- Organic semiconductor
- Affordable and clean energy