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DIVE multi-agent workflow streamlines hydrogen storage materials discovery
- February 4, 2026 at 8:40 PM
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Developing new materials can involve a dizzying amount of trial and error for different configurations and elements. Artificial intelligence (AI) has seen a surge of popularity in energy materials research for its potential to streamline this time-consuming process. However, fully autonomous workflows that connect high-precision experimental knowledge to the discovery of credible new energy-related materials remain at an early stage.
Originally published at Phys.org