High-throughput screening and machine learning for the efficient growth of high-quality single-wall...
High-throughput screening and machine learning for the efficient growth of high-quality single-wall carbon nanotubes
About this item
Full title
Author / Creator
Publisher
Beijing: Tsinghua University Press
Journal title
Language
English
Formats
Publication information
Publisher
Beijing: Tsinghua University Press
Subjects
More information
Scope and Contents
Contents
It has been a great challenge to optimize the growth conditions toward structure-controlled growth of single-wall carbon nanotubes (SWCNTs). Here, a high-throughput method combined with machine learning is reported that efficiently screens the growth conditions for the synthesis of high-quality SWCNTs. Patterned cobalt (Co) nanoparticles were depos...
Alternative Titles
Full title
High-throughput screening and machine learning for the efficient growth of high-quality single-wall carbon nanotubes
Authors, Artists and Contributors
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_swepub_primary_oai_DiVA_org_umu_182168
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_swepub_primary_oai_DiVA_org_umu_182168
Other Identifiers
ISSN
1998-0124,1998-0000
E-ISSN
1998-0000
DOI
10.1007/s12274-021-3387-y
