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Updated: Jun 10, 2026

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释放Mg合稀土矿的潜力:以机器学习为指导的合成和对结构和光学性能的洞察

Chikh Lakhdar Ben Messaoud1, Zoulikha Hebboul2, Ibn Khaldoun Lefkaier1

  • 1Laboratoire de Physique des Matériaux, Ammar Thelidji, University of Laghouat, Laghouat 03000, Algeria.

Nanomaterials (Basel, Switzerland)
|April 11, 2025
PubMed
概括

通过机器学习和sol-gel方法合成了两个新的矿纳米陶,La-Ca-Mg-Mn-O (LCMMO) 和Pr-Ca-Mg-Mn-O (PCMMO). 这些多功能纳米材料表现出有前途的结构和光学特性,可用于先进的应用.

关键词:
在 Mg 兴奋剂中使用 Mg 兴奋剂这就是SEM SEM.能源缺口 能源缺口多功能材料多功能材料纳米化物是一种纳米化物.佩洛夫斯基特是一种矿.sol

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