Luminescence images provide critical insights into the performance and reliability of solar cells. In this project, we will apply generative artificial intelligence (AI) to these images. Generative models, such as those behind tools like DALL-E or Stable Diffusion, learn patterns from existing data and then create new examples. For solar cells, this could mean producing synthetic images to expand datasets, helping AI models learn patterns that represent image features more clearly, or experimenting with advanced methods for image analysis. Students can choose which of these directions they would like to explore.
The project will be carried out in a collaborative research environment. Students will mainly work with one or two academic researchers and be part of a research team that includes undergraduate and postgraduate students.
The aim of this project is to explore how generative AI can open new ways of analysing solar cell quality and performance. An interest in Python programming is encouraged. Even a basic familiarity will help you get the most out of the project, and we will support you in developing your skills further.
School
Photovoltaic and Renewable Energy Engineering
Research Area
Generative AI | Solar cells | Luminescence imaging | Deep learning | Computer vision
Suitable for recognition of Work Integrated Learning (industrial training)?
No
- Research environment
- Expected outcomes
- Supervisory team
- Reference material/links
You will work with the ACDC Research Group, a lively team of more than 20 researchers dedicated to solar energy research. The group has a friendly and supportive environment. You'll benefit from close mentoring, regular meetings with supervisors, and opportunities to share your work with other team members. In addition to your research, you'll also be able to take part in a variety of social activities with the team.
- Students will gain skills in image processing and generative AI.
- They will evaluate the performance of different generative methods.
- They will demonstrate the application of generative methods to solar cell image data.
- Relevant work can be found on the website of the ACDC Research Group: https://www.acdc-pv-unsw.com/publications