AI-integrated Physics lab

At our AI-Integrated Physics Laboratory, we are passionate about exploring the intersection of physics and artificial intelligence. Our research interests encompass a wide range of topics, including but not limited to:

• Understanding Physical Phenomena Through AI Integration

Physics, as a fundamental science, strives to unravel the mysteries of the universe and understand the underlying principles governing natural phenomena. In our pursuit of knowledge, we harness the incredible power of Artificial Intelligence (AI), including machine learning and deep learning, to analyze observational data and simulation results. Our laboratory serves as a dynamic hub for exploring the physical aspects of how AI learns.

• Data Analysis and Recognizing Patterns

Artificial Intelligence plays a pivotal role in processing and visualizing data, unveiling hidden patterns that can provide new insights into physical phenomena. However,,the sheer volume and complexity of the data demand the application of AI techniques for effective analysis. Here, we employ various machine learning and deep learning methods to extract features from data, model phenomena, and make predictions.

• Bridging AI Learning Principles with Physics

Furthermore, we explore the question, "How does AI learn?" from a physics perspective. The learning process of AI models can often mirror the way physical phenomena operate, providing a unique bridge between artificial intelligence and physics.

Our primary goal is to deepen our understanding of physical phenomena and enhance predictive capabilities using AI. Through our efforts, we aim to contribute to the development of new physical theories and the interpretation of experimental results, fostering collaboration between AI and physics.