Literature DB >> 33468669

Self-inhibition effect of metal incorporation in nanoscaled semiconductors.

Bin Zhu1,2, Ding Yi3,4, Yuxi Wang1,2, Hongyu Sun5, Gang Sha6, Gong Zheng6,7, Erik C Garnett5, Bozhi Tian8, Feng Ding9,10, Jia Zhu11,2.   

Abstract

There has been a persistent effort to understand and control the incorporation of metal impurities in semiconductors at nanoscale, as it is important for semiconductor processing from growth, doping to making contact. Previously, the injection of metal atoms into nanoscaled semiconductor, with concentrations orders of magnitude higher than the equilibrium solid solubility, has been reported, which is often deemed to be detrimental. Here our theoretical exploration reveals that this colossal injection is because gold or aluminum atoms tend to substitute Si atoms and thus are not mobile in the lattice of Si. In contrast, the interstitial atoms in the Si lattice such as manganese (Mn) are expected to quickly diffuse out conveniently. Experimentally, we confirm the self-inhibition effect of Mn incorporation in nanoscaled silicon, as no metal atoms can be found in the body of silicon (below 1017 atoms per cm-3) by careful three-dimensional atomic mappings using highly focused ultraviolet-laser-assisted atom-probe tomography. As a result of self-inhibition effect of metal incorporation, the corresponding field-effect devices demonstrate superior transport properties. This finding of self-inhibition effect provides a missing piece for understanding the metal incorporation in semiconductor at nanoscale, which is critical not only for growing nanoscale building blocks, but also for designing and processing metal-semiconductor structures and fine-tuning their properties at nanoscale.

Entities:  

Keywords:  density-functional theory calculation; metal catalyst; self-inhibition effect; semiconductor nanowires

Year:  2021        PMID: 33468669      PMCID: PMC7848686          DOI: 10.1073/pnas.2010642118

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   12.779


  47 in total

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