Help ?

IGMIN: あなたがここにいてくれて嬉しいです. お願いクリック '新しいクエリを作成してください' 当ウェブサイトへの初めてのご訪問で、さらに情報が必要な場合は.

すでに私たちのネットワークのメンバーで、すでに提出した質問に関する進展を追跡する必要がある場合は, クリック '私のクエリに連れて行ってください.'

Biomedical Engineering Cardiology Molecular Biology Climate Change Biology Data Engineering Signal Processing Primatology Anesthesiology Immunotherapy Anatomy Bioengineering Food Science Biological Oceanography Infectious Diseases Sustainability Nephrology Environmental Impacts Computer Engineering Anxiety Obstetrics & Gynecology
    

Focusing on Biology, Medicine and Engineering ISSN: 2995-8067 | Quick Google Scholar

Search

Organised by  IgMin Fevicon

Languages

Submit Manuscript

Browse by Subjects

Welcome to IgMin Research – an Open Access journal uniting Biology, Medicine, and Engineering. We’re dedicated to advancing global knowledge and fostering collaboration across scientific fields.

Biology
Medicine
Engineering
General Science
A to Z Topics

Members

Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.

Editors
Authors
Join Now as Editor

Articles

Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.

Early Online
Current Issue
Previous Issue
Archive
Browse by Universities
Table of Content

Explore Content

Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.

Identify Us

Publish Now

Policies

Manuscript Guidelines

Other Services

Identify Us

Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.

About Us
Contact us
Testimonials
IgMin Corporation

Welcome to IgMin, a leading platform dedicated to enhancing knowledge dissemination and professional growth across multiple fields of science, technology, and the humanities. We believe in the power of open access, collaboration, and innovation. Our goal is to provide individuals and organizations with the tools they need to succeed in the global knowledge economy.

Publications Support
[email protected]
E-Books Support
[email protected]
Webinars & Conferences Support
[email protected]
Content Writing Support
[email protected]
IT Support
[email protected]
IgMin Youtube Link

Search

Select Language

Explore Section

Content for the explore section slider goes here.

81 of 180
AFM Analysis of Polymeric Membranes Fouling
Gordano A
83 of 180
The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
Bekir Erhan Orhan, Aydin Karaçam and Yuni Astuti
Abstract

要約 at IgMin Research

Our commitment is to bridge knowledge gaps across disciplines and propel the advancement of scientific thought.

Engineering Group Research Article 記事ID: igmin193

Current Oscillations and Resonances in Nanocrystals of Narrow-gap Semiconductors

Electronics Materials Science DOI10.61927/igmin193
ND Zhukov *
Affiliation

Affiliation

    ND Zhukov, Limited Liability Company “NPP Volga”. Saratov, Russia, Email: [email protected]

Fulltext HTML Fulltext PDF Cite this article
27
REFERENCES
5.2k
VIEWS
1.5k
DOWNLOADS
103
Similar Articles
Connect with Us

要約

In single colloidal nanocrystals of narrow-gap semiconductors PbS and InSb, current instability in the form of quasi-periodic spikes and current resonance peaks was studied by measuring on a scanning probe microscope and analyzing Current-Voltage Characteristics (CVC). The observed phenomena are explained in models of the wave de Broglie process and Bloch oscillations. Statistically, the percentages of such samples and the parameters of oscillations on the current-voltage characteristic are higher, the larger the size quantization parameter, determined by the de Broglie wavelength. A possible practical use is the generation and recording of terahertz radiation modulated by ultrashort pulses.

数字

Current-voltage characteristics for different variants of nanocrystals: 1, 1* – NC-InSb; 2 – NC-HgSe; 4 – NC-PbS; 3, 3*– NC-CdSe; 5 – micro-InSb. Figure 1: Current-voltage characteristics for different vari...
a: – fragments of the current-voltage characteristic for NC-PbS, in the inset – a typical dependence of the differential conductivity; the numbers above the curves are the calculated values ​​of the dimensions an for the cases q = 2 (upper) and q = 3 (lower); b – fragments of the current-voltage characteristic for NC-InSb, numbers above the curves – calculated values ​​of the dimensions an for the cases q = 1 (upper) and q = 2 (lower). Figure 2: a: – fragments of the current-voltage characteri...
Current-voltage characteristics for variants of nanocrystals of narrow-gap semiconductors: a – NC-PbS, b – NC-InSb. In the insets, the approximation parameters are: a – y = 2.76x-1.51, R2 = 0.994; b – y = 2.59x-1.34, R2 = 0.994. Figure 3: Current-voltage characteristics for variants of na...
Dependence of ∆Vi on parameter i for a typical case an/a0 ~10: 1 – NC-HgSe; 2 – NC-InSb; 3 – NC-PbS; 4 – NC-CdSe. Figure 4: Dependence of ∆Vi on parameter i for a typical c...

参考文献

    1. Singh S, Battiato M. Effect of Strong Electric Fields on Material Responses: The Bloch Oscillation Resonance in High Field Conductivities. Materials. 2020; 13(5):1070. DOI:10.3390/ma13051070.
    2. Höller J, Alexandradinata A. Topological Bloch oscillations. Phys Rev B. 2018; 98(2):024310. DOI:10.1103/PhysRevB.98.024310.
    3. Sokolov VN, Iafrate GJ. Spontaneous emission of Bloch oscillation radiation under the competing influences of microcavity enhancement and inhomogeneous interface degradation. J Appl Phys. 2014; 115:054307. DOI:10.1063/1.4863599.
    4. Ivanov KA, Girshova EI, Kaliteevsky MA, Clark SJ, Gallant AJ. Anharmonic Bloch oscillations of electrons in electrically biased superlattices. Semiconductors. 2016; 50(11):1484. DOI:10.21883/ftp.2016.11.43778.10.
    5. Moravcova H, Voves J. Physica E. Bloch oscillations in superlattices: Monte-Carlo analysis using 2D scattering model. Low-dimensional Systems and Nanostructures. 2003; 17:307. DOI:10.1016/S1386-9477(02)00818-4.
    6. Dmitriev IA, Suris RA. Electron localization and bloch oscillations in quantum-dot superlattices under a constant electric field. Semiconductors. 2001; 35(2):219.
    7. Sapienza R, Toninelli C, Otonc CJ. Bloch oscillations and resonant Zener tunneling of light in optical superlattices. Proc SPIE. 2005;2:421. DOI:10.1117/12.608205.
    8. Geiger ZA, Fujiwara KM, Singh K. Observation and Uses of Position-Space Bloch Oscillations in an Ultracold Gas. Phys Rev Lett. 2018;120:213201. DOI:10.1103/PhysRevLett.120.213201.
    9. Ekimov AI, Onushchenko AA. Quantization of the energy spectrum of holes in the adiabatic potential of the electron. Lett J Theor Exp Phys. 1984; 40(8):337.
    10. Zhukov ND, Gavrikov MV. Tech Phys Lett. 2022; 48(8):18. DOI:0.21883/PJTF.2022.08.52361.19090.
    11. Dragunov VP, Unknown IG, Gridchin VA. The Influence of Different Type Irradiations on the Surface States Parameters of Si-SiO2 Structures. Fundamentals of Nanoelectronics. Moscow: Logos; 2006. p. 495.
    12. Martinez B, Livache C, Notemgnou LDM. Synthesis and properties of mercury selenide colloidal quantum dots. ACS Appl Mater Interfaces. 2017; 9(41):36173.
    13. Lesovik GB, Sadovsky IA. Scattering matrix approach to the description of quantum electron transport. Adv Phys Sci. 2011; 181(10):1041. DOI:10.3367/UFNr.0181.201110b.1041.
    14. Glinsky GF. A ​​simple numerical method for determining the energy spectrum of charge carriers in semiconductor heterostructures. Tech Phys Lett. 2018; 44(6):17. DOI:10.21883/PJTF.2018.06.45763.17113.
    15. Райх КВ. Adv Phys Sci. 2020; 190(10):1063.
    16. Kagan CR. Flexible colloidal nanocrystal electronics. Chem Soc Rev. 2019; 48:1626.
    17. Zhu J, Hersam MC. Assembly and Electronic Applications of Colloidal Nanomaterials. Adv Mater. 2017; 29:1603895.
    18. Diaconescu B, Padilha LA, Nagpal P, Swartzentruber BS, Klimov VI. Measurement of electronic states of PbS nanocrystal quantum dots using scanning tunneling spectroscopy: the role of parity selection rules in optical absorption. Phys Rev Lett. 2013; 110:127406. DOI:10.1103/PhysRevLett.110.127406.
    19. Gavrikov MV, Glukhovskoy EG, Zhukov ND. Quantum conductivity in single and coupled quantum-sized particles of narrow-gap semiconductors. Semiconductors. 2023; 57(5):338. DOI:10.21883/FTP.2023.05.56200.27k.
    20. Zhukov ND, Smirnova TD, Khazanov AA, Tsvetkova OYu, Shtykov SN. Properties of semiconductor colloidal quantum dots obtained under controlled synthesis conditions. Semiconductors. 2021; 55(12):1203. DOI:10.21883/FTP.2021.12.51706.9704.
    21. Zhukov ND, Tsvetkova OYu, Gavrikov MV, Rokah AG, Smirnova TD, Shtykov SN. Synthesis and properties of colloidal mercury selenide quantum dots. Semiconductors. 2022; 56(4):401. DOI:10.21883/FTP.2022.04.52195.9779.
    22. Krylsky DV, Zhukov ND. Synthesis, composition, photoluminescence, and stability of properties of colloidal InSb-based quantum dots. Tech Phys Lett. 2019; 45(16):10. DOI:10.21883/PJTF.2019.16.48147.17665.
    23. Chemical encyclopedia. http://xumuk.ru/encyklopedia
    24. Zhukov ND, Gavrikov MV. Int Scientific Res J. 2021; 8(110):19. DOI:https://doi.org/10.23670/IRJ.2021.110.8.004.
    25. Zhukov ND, Gavrikov MV, Shtykov SN. Electron-photon interactions in the conditions of dimensional conductivity restrictions in semiconductor single quantum-size particles in interelectrodic nanogapSemiconductors. 2022; 56(6):552. DOI:10.21883/FTP.2022.06.52588.9809.
    26. Bagraev NT, Buravlev AD, Klyachkin LE, Malyarenko AM, Gehlhoff V, Ivanov VK, Shelykh IA. Quantum Conductance Staircase of Edge Hole Channels in Silicon Quantum Wells. Semiconductors. 2002;36(4):462.
    27. Jacak L, Krasnyj J, Jacak W, Gonczarek R, Machnikowski P. Phys Rev B. 2005;72:245309.

類似の記事

The Examination of Game Skills of Children Aged 5-6 Years Participating in Movement Education
Bekir Erhan Orhan, Aydin Karaçam and Yuni Astuti
DOI10.61927/igmin196
Federated Learning- Hope and Scope
Lhamu Sherpa and Nandan Banerji
DOI10.61927/igmin112
Auxological Status of Modern Primary School Students of Nizhny Novgorod Region
Kalyuzhny Evgeniy Aleksandrovich, Mukhina Irina Vasilievna, Bogomolova Elena Sergeevna, Galova Elena Anatolyevna, Puzhak Svetlana Andreevna and Baklanova Ekaterina Sergeevna
DOI10.61927/igmin219
Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
Darya Sitovskaya, Ksenia Frolkova, Elizaveta Shanina, Tatyana Sokolova and Yulia Zabrodskaya
DOI10.61927/igmin235
Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
Nikolai Dmitrievich Zhukov
DOI10.61927/igmin134
Benzo[4’,5’]imidazo[2’,1’:6,1]pyrido[2,3-d]pyrimidines: Past and Present
AA Harutyunyan
DOI10.61927/igmin113
Use of Extraterrestrial Resources and Recycling Water: Curb Your Enthusiasm
Donald Rapp
DOI10.61927/igmin247
From Motor Augmentation to Body Enhancement, the Harmony between Human Body and Artificial Parts
Liming YU, Bohan LV, Xin LI, Yuhang Wang and Ifeoluwa David Oyename
DOI10.61927/igmin212
Evaluating Digital Imaging Technologies for Anogenital Injury Documentation in Sexual Assault Cases
Jon Giolitti, Abbigail Behmlander, Sydney Brief, Emma Dixon, Sydney Hudock, Linda Rossman, Stephanie Solis, Meredith Busman, Lisa Ambrose, Lindsey Ouellette and Jeffrey Jones
DOI10.61927/igmin246
Peritoneal Carcinomatosis from Ovarian Cancer: A Case Report
Andrea González De Godos, Enrique Asensio Diaz, Pilar Pinto Fuentes, Baltasar Pérez Saborido and David Pacheco Sánchez
DOI10.61927/igmin181
Page Navigation
タイトルと著者 要約 数字 参考文献 類似の記事 View PDF
研究を公開する

私たちは、科学、技術、工学、医学に関する幅広い種類の記事を編集上の偏見なく公開しています。

提出する

見る 原稿のガイドライン 追加 論文処理料

IgMin 科目を探索する
Biology Medicine Engineering General Science

現在トレンドになっている記事はどれですか？

トップ10の記事をクリック

クイックリンク

原稿を提出する
IgMinリサーチを購読する

発表された記事、号のリリース、ジャーナル活動の最新情報についてのお知らせを受け取るために、メールアドレスを入力してください。

研究論文
  1. Enhancing Missing Values Imputation through Transformer-Based Predictive Modeling
  2. Abrasive Wear in Some High Fe-Cr-C Alloy in Cement Powder
  3. Lunar-Derived Propellants for Fueling Mars-Bound Spacecraft in Cis-Lunar Space
  4. DNA Genetics and UHPLC-Q-TOF-MS Analysis of Phytochemicals for Asparagus racemosus Roots
  5. Enhancing Material Property Predictions through Optimized KNN Imputation and Deep Neural Network Modeling
  6. Wishful Thinking or Valuable Forecasts? The Value of Policy Rate Predictions in Sweden
もっと読む

Advertisement