The scientists at Google DeepMind have achieved significant results in the field of materials science through the GNoME framework, successfully discovering over 2.2 million new materials. This breakthrough not only demonstrates the powerful potential of machine learning but also provides possibilities for future technological innovation and addressing major challenges such as energy storage. By combining graph neural networks with active learning, researchers have successfully predicted the formation energies of materials, accelerating the process of discovering new materials. This research offers immense potential for exploring unknown compositional space regions, opening up new possibilities for future scientific discoveries and technological applications.