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An accurate and transferable machine learning interatomic potential for nickel
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This groundbreaking research by Xiaoguo Gong, Zhuoyuan Li, A. S. L. Subrahmanyam Pattamatta, Tongqi Wen, and David J. Srolovitz unveils a magnetism-hidden Deep Potential model for nickel, offering precise predictions of essential material properties crucial for advancing applications in engineering and technology.
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