Carbon nanotube computer

Max M. Shulaker (), Gage Hills, Nishant Patil, Hai Wei, Hong-Yu Chen, H.-S. Philip Wong and Subhasish Mitra
Additional contact information
Max M. Shulaker: Stanford University, Gates Building, Room 331, 353 Serra Mall, Stanford, California 94305, USA
Gage Hills: Stanford University, Gates Building, Room 358, 353 Serra Mall, Stanford, California 94305, USA
Nishant Patil: SK Hynix Memory Solutions, 3103 North First Street
Hai Wei: Stanford University, Gates Building, Room 239, 353 Serra Mall, Stanford, California 94305, USA
Hong-Yu Chen: Stanford University, Paul G. Allen Building, Room B113X, 420 Via Ortega, Stanford, California 94305, USA
H.-S. Philip Wong: Stanford University, Paul G. Allen Building, Room 312X, 420 Via Ortega, Stanford, California 94305, USA
Subhasish Mitra: Stanford University, Gates Building, Room 334, 353 Serra Mall, Stanford, California 94305, USA

Nature, 2013, vol. 501, issue 7468, 526-530

Abstract: A computer built entirely using transistors based on carbon nanotubes, which is capable of multitasking and emulating instructions from the MIPS instruction set, is enabled by methods that overcome inherent challenges with this new technology.

Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.nature.com/articles/nature12502 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:501:y:2013:i:7468:d:10.1038_nature12502

Ordering information: This journal article can be ordered from
https://www.nature.com/

DOI: 10.1038/nature12502

Access Statistics for this article

Nature is currently edited by Magdalena Skipper

More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().