押注下一个科技风口，蚂蚁投了两个MIT博士

Core Insights - The emergence of AI for Science (AI4S) is transforming scientific research by enabling autonomous intelligence in chemistry, moving from "artificial design" to "self-evolving" capabilities [1] - Deep Principles, a startup focused on AI for Chemistry and Materials, has recently completed over 100 million RMB in funding, marking Ant Group's first investment in the AI4S sector [2][14] - The founders of Deep Principles, both MIT PhD graduates, aim to revolutionize the research and development process in materials science by integrating AI with quantum chemistry and high-throughput experimental techniques [4][10] Company Overview - Deep Principles was established in 2024 and focuses on accelerating the entire process of materials innovation by combining AI, quantum chemistry, and high-throughput experiments [4][10] - The company has developed a proprietary Reactive AI platform to address challenges in material chemistry simulations, achieving significant improvements in prediction speed and accuracy [6][10] - Within a year of its establishment, Deep Principles has secured over 10 million RMB in commercial orders, indicating strong market demand for its innovative solutions [10] Technology and Innovation - Deep Principles utilizes diffusion generative models to predict reaction pathways and transition states, significantly reducing computation time from days to mere seconds [6][10] - The company has created a comprehensive product system that integrates various research tools, allowing engineers to automate complex experimental processes and enhance productivity [9][10] - The language model LLM-EO enables researchers to generate new molecular candidates based on natural language inputs, streamlining the hypothesis generation and research design phases [9] Market Context - The AI4S paradigm is gaining traction across multiple scientific disciplines, including chemistry, materials science, and life sciences, driven by the need for interdisciplinary collaboration and innovation [3] - The global investment landscape is increasingly recognizing the potential of AI in scientific research, with significant funding rounds for companies like CuspAI and Periodic Labs, indicating a robust market for AI-driven scientific solutions [13][14] - Deep Principles aims to leverage China's manufacturing strength and large market potential to drive scientific discovery and industrial application, positioning itself strategically in the AI4S landscape [14][15]