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A self-learning agent autonomously refines X-ray diffraction analysis skills, surpassing expert performance on challenging real-world and simulated data without LLM retraining.
Accurately predicting battery health from early data just got a whole lot better: BatteryMFormer leverages multi-level Transformer learning to substantially outperform existing methods.
Unlock the secrets hidden in complex X-ray diffraction data with WPEM, a new AI-driven refinement workflow that outperforms existing methods by explicitly enforcing Bragg's law.