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BEIJING, June 11, 2026– A new AI-powered materials scientist, CarbonKylin™, was introduced today at the 4th Beijing AI Industry Innovation and Talent Development Forum, held at Peking University. Co-developed by Peking University, Rhinovate™, and Peking University Shenzhen Graduate School, the system has autonomously designed a high-performance carbon-doped fiber, marking a breakthrough in AI-driven materials R&D.

Forum Highlights

Operating on a closed-loop iterative engine called RhinoAI, CarbonKylin™ independently completed the entire R&D cycle—from monomer design and process optimization to explainable analysis. The result is a new heterocyclic aramid composite fiber with a tensile strength of 41.2 cN/dtex, placing it among the best-performing materials of its kind globally.

“CarbonKylin™ is China’s first full-stack intelligent R&D platform tailored specifically for carbon materials,” said Jiajun Luo, a Boya Postdoctoral Fellow at School of Advanced Materials, Peking University, who presented the achievement. “By integrating intelligent design, automated experimentation, and self-updating analytics, the platform solves long-standing industry challenges—including long cycles, high costs, and human error.”

From Lab to Pilot, and Beyond

Having proven its capabilities in both laboratory and pilot-scale settings, the CarbonKylin™ team will now focus on advancing the system’s algorithms and expanding its applications. The platform is positioned to serve as an intelligent backbone for advanced materials development, with initial deployment targets in new energy, semiconductors, and aerospace.