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From guesswork to guidance: How machine learning speeds dopant design for water-splitting photocatalysts
- March 13, 2026 at 9:40 PM
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MLIP calculations successfully identify suitable dopants for a novel photocatalytic material, report researchers from the Institute of Science Tokyo. As demonstrated in their study, published in the Journal of the American Chemical Society, a materials informatics approach could predict which ions can be stably introduced into orthorhombic Sn3O4, a promising and recently discovered photocatalytic tin oxide.
Originally published at Phys.org