Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Pedro Silva
Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Institute of Microstructure Technology (IMT), Karlsruhe Institute of Technology, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany
Viewed
Total article views: 3,182 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
2,170
902
110
3,182
122
162
HTML: 2,170
PDF: 902
XML: 110
Total: 3,182
BibTeX: 122
EndNote: 162
Views and downloads (calculated since 16 Jul 2021)
Cumulative views and downloads
(calculated since 16 Jul 2021)
Total article views: 2,387 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
1,694
621
72
2,387
96
143
HTML: 1,694
PDF: 621
XML: 72
Total: 2,387
BibTeX: 96
EndNote: 143
Views and downloads (calculated since 19 Nov 2021)
Cumulative views and downloads
(calculated since 19 Nov 2021)
Total article views: 795 (including HTML, PDF, and XML)
HTML
PDF
XML
Total
BibTeX
EndNote
476
281
38
795
26
19
HTML: 476
PDF: 281
XML: 38
Total: 795
BibTeX: 26
EndNote: 19
Views and downloads (calculated since 16 Jul 2021)
Cumulative views and downloads
(calculated since 16 Jul 2021)
Viewed (geographical distribution)
Total article views: 3,182 (including HTML, PDF, and XML)
Thereof 2,992 with geography defined
and 190 with unknown origin.
Total article views: 2,387 (including HTML, PDF, and XML)
Thereof 2,236 with geography defined
and 151 with unknown origin.
Total article views: 795 (including HTML, PDF, and XML)
Thereof 756 with geography defined
and 39 with unknown origin.
To increase experimental efficiency, information can be encoded in parallel by taking advantage of highly resolved NMR spectra. Here we demonstrate parallel encoding of optimal diffusion parameters by selectively using a resonance for each molecule in the sample. This yields a factor of n decrease in experimental time since n experiments can be encoded into a single measurement. This principle can be extended to additional experimental parameters as a means to further improve measurement time.
To increase experimental efficiency, information can be encoded in parallel by taking advantage...