The advent of advanced large language models like ChatGPT marks a transformative era in scientific research, particularly in the field of reticular chemistry. This seminar focuses on how ChatGPT's natural language processing capabilities enable scientists to accelerate and innovate in their research endeavors. We will explore its role in simplifying complex tasks, from literature review to data extraction, and how it aids in conceptualizing research ideas and providing guidance in laboratory settings.
In addition, the seminar will highlight practical applications of ChatGPT in reticular chemistry, including operating robotic platforms, crafting machine learning algorithms, and conducting advanced data analysis. These insights aim to demonstrate how ChatGPT can be a valuable asset in enhancing the efficiency and creativity of web lab activities, making it accessible to a broader range of researchers regardless of their programming expertise.