SES is leveraging cutting-edge AI-techniques such as large language models (LLMs), physics-informed machine learning, reinforcement learning agents, and GPU-accelerated Density Functional Theory (DFT) calculations to rapidly explore molecular universe at magnitudes (10^11) beyond any scale ever attempted by mankind before. Some of these new molecules generated by the AI-techniques are already successfully synthesized and under test in electrochemical devices, demonstrating superior performances and revealing an encouraging future of AI-assisted materials design. This AI-driven materials discovery based on comprehensive mapping of molecular universe represents a breakthrough not only for energy storage technology but also drug discovery, biomedicine, catalysts or photo-/electro-chemicals.