journal article·2025

Machine-learning guided discovery of ultralow-threshold organic gain materials towards electrically pumped lasing

Yueting Zhang, Haofeng Zheng, Zhen Dong, Yanan Liu, Qi Liu, Jin Xiao, Yanlong Wang, Shuai Pang, Xuyu Ma, Qing Liao, Shaocong Hou

Journal of Materials Chemistry C· Volume 13· Issue 11
Publisher page

Abstract

Machine learning is demonstrated for discovering ultralow-threshold organic gain molecules with an ASE threshold of approximately 0.011 μJ cm −2 , satisfying the requirement (0.1 kA cm −2 ) for electrically pumped lasers.
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short

Research context

OpenAlex topics: Photonic and Optical Devices · Spectroscopy and Laser Applications · GaN-based semiconductor devices and materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

School of Chemistry, Chemical Engineering and Life Sciences, Wuhan University of Technology, Wuhan 430070, P. R. China

School of Electrical Engineering and Automation, Wuhan University, Wuhan 430072, P. R. China

Beijing Key Laboratory for Optical Materials and Photonic Devices, Capital Normal University, Beijing, 100048, P. R. China

Wuhan University Shenzhen Institute, Shenzhen 518057, P. R. China

Funding

National Natural Science Foundation of China · Guangdong Provincial Department of Science and Technology · Shenzhen Fundamental Research and Discipline Layout project

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