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This review discusses the advancements in computational, data-driven approaches for the design and synthesis of nanomaterials, highlighting the potential for accelerated materials discovery through automated workflows and extensive databases. It emphasizes the unique challenges posed by nanomaterials due to their distinct behaviors compared to bulk materials and the complexities of their structures. The authors also provide insights into future directions for enhancing data-driven research in the nanomateri

Author

Tumpal Edison

Language

EN