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Updated: Apr 30, 2026

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机器学习预测的Cs2PbSnI6双矿纳米晶体的合成

Pritish Mishra1,2,3, Mengyuan Zhang1, Manaswita Kar4

  • 1School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Technological University, Singapore 639798, Singapore.

ACS nano
|February 6, 2025
PubMed
概括

研究人员开发了一种机器学习模型来预测化矿带间隙,确定Cs2PbSnI6作为光电子学的有前途材料. 这加速了用于先进应用的新材料的发现.

关键词:
乐队间隙 带间隙 乐队间隙结晶学 结晶学是指结晶学.埃尔帕索利特 (Elpasolite) 是一个古老的城市.机器学习是机器学习.纳米晶体是一种纳米晶体.佩洛夫斯基特 (Perovskite) 是一种矿物.

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Nucleophilic substitution reactions of alkyl halides can proceed via an SN1 or an SN2 mechanism. While in SN2 reactions, the nucleophile attacks the substrate simultaneously as the leaving group departs, in SN1 reactions, the substrate first dissociates to give the carbocation intermediate. Various factors such as the structure of the substrate, the strength of the nucleophile, and the nature of the solvent promote one mechanism over the other.
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