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Development and application of Few-shot learning methods in materials science under data scarcity

Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data. Click to show full abstract

Machine learning, as a significant branch of artificial intelligence, shortens the cycle of material discovery and synthesis by exploring the characteristics of data.

Keywords: learning methods; shot learning; development application; methods materials; materials science; application shot

Journal Title: Journal of Materials Chemistry A
Year Published: 2024

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