Machine learning has progressed tremendously and is now used successfully in various applications. Our research question involves using machine learning methods to simulate physical phenomena. In this talk, I introduce novel approaches to accurately reproduce physical phenomena by learning physical laws from data. The focus is on how machine learning methods can be integrated with the prior knowledge of physics that has been generated throughout history. The talk also gives an overview of the future development of our research and its significance.