Ning Li
State Key Laboratory of Luminescent Materials and Devices, South China University of Technology,
Guangzhou, 510640, China
Pazhou Lab, Guangdong Artificial Intelligence and Digital Economy Laboratory (Guangzhou),
Guangzhou, 510335, China 

EXTENDED ABSTRACT: The power conversion efficiency of organic photovoltaics (OPV) is currently approaching the 20% milestone. However, factors such as the device stability, environment-friendly printing techniques, and upscaling technologies are still the bottleneck limiting the commercialization of OPV. In order to solve these key problems, it is necessary to study and clarify the relationship between the processing parameters and morphology of organic thin films. Typically, studying the structure-process-properties relationship of organic thin films and devices is time-consuming, complex, and costly, and it is difficult to collect the statistics needed to assess their importance in different scenarios. In this presentation, I will discuss the key points and difficulties in the commercialization of OPV and related optoelectronic technologies, and how materials genome engineering could accelerate the research and development of organic optoelectronic technologies.
Keywords: materials genome engineering; organic photovoltaics; machine learning; high-throughput experimentation; data­driven research