High Scale‐Cost‐Performance Manufacturing of Organic Single‐Crystal Electronics
Abstract Large‐area electronics have a natural eagerness to manufacture electronic devices with high scale‐cost‐performance metrics for emerging applications, spanning from the Internet of Things to flexible and wearable electronics. Printing technologies facilitate high‐throughput production of reliable, stable, and cost‐effective devices, but the suboptimal electronic quality of solution‐printed semiconducting materials has constrained device performance across broader application spaces. Here, fully printed, monolithically integrated, large‐scale thin‐film transistor (TFT) arrays featuring high‐quality organic single‐crystalline films as device channels are reported. This breakthrough is achieved through sophisticated fluid dynamic engineering across multiple and uneven heterointerfaces. These fully‐printed TFTs unlock previously inaccessible theoretic performance boundaries, delivering exceptional electrical performance with a near‐ideal subthreshold swing of 59.4 mV dec −1 , a record‐high mobility of 13.8 cm 2 V −1 s −1 , and low operation voltages. This approach through large‐scale production is further validated, successfully fabricating 2500 organic thin‐film transistors (OTFTs) over 30 cm 2 area with a remarkable device yield exceeding 99.92%. Furthermore, the versatility of this fully printed organic TFT array as an active matrix integrated multisensory platform is showcased, signifying a significant advancement in printed electronics.
Authors
- Jiansheng Jie (ORCID: https://orcid.org/0000-0002-2230-4289)
- Xiaobin Ren
- Wei Deng (ORCID: https://orcid.org/0000-0002-0067-0624)
- Xiaohong Zhang (ORCID: https://orcid.org/0000-0003-2320-0884)
- Xiujuan Zhang (ORCID: https://orcid.org/0000-0002-3244-9449)
- Fang Wang (ORCID: https://orcid.org/0000-0003-3567-9108)
- Yiming Wu (ORCID: https://orcid.org/0000-0003-1388-7192)
- Jianchao Qi
- Minghao Zhou (ORCID: https://orcid.org/0000-0003-1504-3591)
- Shengyu Yu
- Xinghan Meng
Institutions
- Macau University of Science and Technology (MO)
- Xiamen University (CN)
- Soochow University (CN)
Publication Details
- Journal
- Advanced Functional Materials
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1002/adfm.202503370
- Citations
- 6
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 4.38
Funders
- National Natural Science Foundation of China
- Fundo para o Desenvolvimento das Ciências e da Tecnologia
- Higher Education Discipline Innovation Project
- Jiangsu Association for Science and Technology
- Key Technologies Research and Development Program
- National Key Research and Development Program of China