کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7957957 | 1513866 | 2018 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Computational study of CNT based nanoscale reversible mass transport archival memory with Fe, Co and Ni nano-shuttles
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مکانیک محاسباتی
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چکیده انگلیسی
We report the atomistic study of a carbon nanotube (CNT) mass transport memory with Fe, Co and Ni nanoparticle shuttles encapsulated within it. For our calculation the extended-Hückel theory has been employed to study the various electronic, electrostatic and transport of such devices. The simulation results show that all the three sets of CNT devices with Fe, Co and Ni nano-shuttle are efficient in performance in terms of distinguishable electronic properties, with regard to nanoparticle position and type of nanoparticles. There is observable change in transmission w.r.t. change of positions and type of nanoparticles. Fe@CNT shows more metallic nature of transmission as compared to Co@CNT and Ni@CNT. All the devices show minimal loss of coherence in transmission in terms of conducting eigenstates and elastic backscattering. The Ni and Co nanoparticle captured more amount of charge as compared to Fe nanoparticle, and can offer superior performance in case of charge sensing detection of memory states.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 146, 15 April 2018, Pages 112-118
Journal: Computational Materials Science - Volume 146, 15 April 2018, Pages 112-118
نویسندگان
Bikash Sharma, Amretashis Sengupta, C.K. Sarkar,