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Knowledge-extractor: a self-evolving scientific framework for hydrogen energy research driven by AI agents

Exploring structures of nanoclusters combining high-dimensional neural network potentials with unsupervised machine learning algorithms

Accelerating multimetallic catalyst discovery with robotics and agentic AI

From single-agent to multi-agent: a comprehensive review of LLM-based legal agents

From descriptors to machine learning interatomic potentials: a review of AI-accelerated electrocatalyst design

Cloud synthesis: a global close-loop feedback powered by autonomous AI-driven catalyst design agent

AI Agent - defining the next era of intelligent agents