DOI: 10.1021/acsnano.8b03831. Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing

Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing

10.1021/acsnano.8b03831

Crossref journal-article

American Chemical Society (ACS)

ACS Nano (316)

Bibliography

Sanchez Esqueda, I., Yan, X., Rutherglen, C., Kane, A., Cain, T., Marsh, P., Liu, Q., Galatsis, K., Wang, H., & Zhou, C. (2018). Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing. ACS Nano, 12(7), 7352â7361.

Authors 10

Ivan Sanchez Esqueda (first)
Xiaodong Yan (additional)
Chris Rutherglen (additional)
Alex Kane (additional)
Tyler Cain (additional)
Phil Marsh (additional)
Qingzhou Liu (additional)
Kosmas Galatsis (additional)
Han Wang (additional)
Chongwu Zhou (additional)

References 65 Referenced 155

Dates

Type	When
Created	7 years, 1 month ago (June 26, 2018, 6:53 p.m.)
Deposited	2 years, 3 months ago (April 23, 2023, 8:38 a.m.)
Indexed	1 week, 1 day ago (Aug. 12, 2025, 5:43 p.m.)
Issued	7 years, 1 month ago (June 26, 2018)
Published	7 years, 1 month ago (June 26, 2018)
Published Online	7 years, 1 month ago (June 26, 2018)
Published Print	7 years ago (July 24, 2018)

Funders 1

Army Research Office 10.13039/100000183
Region: Americas
gov (National government)
Labels5
1. U.S. Army Research Office
2. United States Army Research Office
3. U.S. Army Research Laboratory's Army Research Office
4. ARL's Army Research Office
5. ARO
Awards1
1. W911NF-18-1-0268

BibTeX

@article{Sanchez_Esqueda_2018, title={Aligned Carbon Nanotube Synaptic Transistors for Large-Scale Neuromorphic Computing}, volume={12}, ISSN={1936-086X}, url={http://dx.doi.org/10.1021/acsnano.8b03831}, DOI={10.1021/acsnano.8b03831}, number={7}, journal={ACS Nano}, publisher={American Chemical Society (ACS)}, author={Sanchez Esqueda, Ivan and Yan, Xiaodong and Rutherglen, Chris and Kane, Alex and Cain, Tyler and Marsh, Phil and Liu, Qingzhou and Galatsis, Kosmas and Wang, Han and Zhou, Chongwu}, year={2018}, month=jun, pages={7352–7361} }

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