AI-Assisted Nanomaterial Design for Photovoltaic Applications

Authors

  • Irshad Hussain Lahore University of Management Sciences (LUMS), Lahore, Pakistan
  • Amina Malik COMSATS University Islamabad, Attock Campus, Pakistan
  • Muneeb Ur Rahman , University of Engineering and Technology (UET), Lahore, Pakistan

Keywords:

Artificial Intelligence, Nanomaterials, Photovoltaics, Machine Learning, Solar Energy, Nanostructures, Energy Conversion, Materials Design

Abstract

The integration of Artificial Intelligence (AI) with nanomaterial design has revolutionized the development of photovoltaic (PV) technologies. This paper explores the application of AI in the design and optimization of nanomaterials for enhanced solar energy conversion. By leveraging machine learning algorithms, researchers can predict and tailor the properties of nanomaterials to improve the efficiency and stability of PV devices. The study highlights various AI techniques, including deep learning and reinforcement learning, in the context of nanomaterial discovery, synthesis, and characterization. Furthermore, the paper discusses the challenges and future directions in this interdisciplinary field, emphasizing the potential of AI-assisted nanomaterial design in advancing sustainable energy solutions

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Published

2024-06-30

Issue

Jan-Jun 2024

Section

Articles

License

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