4.7 Article

Tunable high workfunction contacts: Doped graphene

期刊

APPLIED SURFACE SCIENCE
卷 509, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.apsusc.2019.144893

关键词

Graphene; Work function; Doped Graphene; Contact electrodes; Band gap; Optoelectronic device

资金

  1. Qatar National Research Fund (QNRF) [NPRP 7-317-1-055, NPRP X-107-1-027]

向作者/读者索取更多资源

Contact electrodes with high work functions can enable significant enhancement in optoelectronic device performance due to their important role in efficient extracting/injecting carriers especially from optically active materials with high electron affinity or deep valence band edge, such as CdTe and some perovskites. With such materials becoming increasingly important in emerging solar cell technologies, the need for high work function electrodes has become of timely importance. In this work, p-doped graphene is investigated using first principle calculations, as a potential high work function contact electrode material for optoelectronic device applications. We found that chemical doping based on the adsorption of different non-metallic adatoms on graphene allows tuning the work function which can reach as high as 5.76 eV. A range of p-dopant adatoms, with varying doping concentrations, was investigated and we showed that the largest change of the work function is caused by chlorine and bromine dopants: a 4% concentration of Cl and Br dopants results in an increase of the work function of graphene from 4.38 eV to 5.76 eV and 5.71 eV, respectively. Furthermore, the calculations show that this significant increase in graphene's work function is mainly due to the charge transfer from graphene to p-dopant adatoms, which increases the concentration of holes at the graphene surface, and hence, increases its work function. We also analyzed the stability conditions for absorbed halogen adatoms on graphite. In particular, we found that halogen molecules formation process should be significantly inhibited by electrostatic repulsion between charged adatoms which provides additional barrier for them to get closer to react. These findings provide valuable guidance to experimental efforts towards the realization of tunable high work function graphene-based electrodes.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Engineering, Electrical & Electronic

Dilute Oxygen Alloys of ZnS as a Promising Toxic-Free Buffer Layer for Cu(In, Ga)Se2 Thin-Film Solar Cells

Saad M. Alqahtani, Ahmer A. B. Baloch, Shaikh S. Ahmed, Fahhad H. Alharbi

IEEE TRANSACTIONS ON ELECTRON DEVICES (2020)

Article Materials Science, Multidisciplinary

Band gap tuning in aluminum doped two-dimensional hexagonal boron nitride

Merid Legesse, Sergey N. Rashkeev, Hamed Saidaoui, Fedwa El Mellouhi, Said Ahzi, Fahhad H. Alharbi

MATERIALS CHEMISTRY AND PHYSICS (2020)

Article Green & Sustainable Science & Technology

In-field characterization of key performance parameters for bifacial photovoltaic installation in a desert climate

Ahmer A. B. Baloch, Said Hammat, Benjamin Figgis, Fahhad H. Alharbi, Nouar Tabet

RENEWABLE ENERGY (2020)

Article Materials Science, Multidisciplinary

An approach based on random sampling and density functional theory to identify highly stable structures of ABX3 compounds

Saad M. Alqahtani, Abduljabar Q. Alsayoud, Fahhad H. Alharbi

Summary: The approach presented utilizes density functional theory and proper random sampling to predict highly stable structures of ABX(3) compounds. By comparing results with computational and experimental reports, it demonstrates good agreement and adequate accuracy and computational efficiency for high-throughput calculations.

COMPUTATIONAL MATERIALS SCIENCE (2021)

Article Materials Science, Multidisciplinary

Extending Shannon's ionic radii database using machine learning

Ahmer A. B. Baloch, Saad M. Alqahtani, Faisal Mumtaz, Ali H. Muqaibel, Sergey N. Rashkeev, Fahhad H. Alharbi

Summary: This study expanded the ionic radii table using machine learning, improving prediction accuracy, and storing the data in an online database.

PHYSICAL REVIEW MATERIALS (2021)

Article Physics, Multidisciplinary

Highly accurate machine learning model for kinetic energy density functional

Mohammed Alghadeer, Abdulaziz Al-Aswad, Fahhad H. Alharbi

Summary: A highly accurate predictive model was developed using Machine Learning to estimate one-dimensional kinetic energy density functionals, showing better accuracy than standard KEDF. The statistical training approach suggested the reliability of the model for large-scale orbital free density functional theory calculations.

PHYSICS LETTERS A (2021)

Article Multidisciplinary Sciences

Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula

Abdulmohsen Alsaui, Saad M. Alqahtani, Faisal Mumtaz, Alsayoud G. Ibrahim, Alghadeer Mohammed, Ali H. Muqaibel, Sergey N. Rashkeev, Ahmer A. B. Baloch, Fahhad H. Alharbi

Summary: In this work, a robust machine learning predictor is presented for crystal point group prediction of ternary materials, achieving high balanced accuracies using a reduced set of features. The accuracy is limited by the data points, but the results indicate that the physics can be well captured by the simplified feature set.

SCIENTIFIC REPORTS (2022)

Article Chemistry, Medicinal

Resampling Techniques for Materials Informatics: Limitations in Crystal Point Groups Classification

Abdulmohsen A. Alsaui, Yousef A. Alghofaili, Mohammed Alghadeer, Fahhad H. Alharbi

Summary: In this study, crystal point group prediction is used as an example of an imbalanced classification problem in materials informatics. Various resampling and classification techniques were considered, with the most influential variable being the one controlling the number of samples to omit or generate. Balancing the data set can enhance the classification performance of the minority class but may reduce correct predictions of the majority class. The ideal ratio of the minority to majority class for improved classification was found to be around two-thirds.

JOURNAL OF CHEMICAL INFORMATION AND MODELING (2022)

Article Physics, Multidisciplinary

Energy transfer and coherence in coupled oscillators with delayed coupling: a classical picture of two-level systems

Fahhad H. Alharbi, Abdelrahman S. Abdelrahman, Abdullah M. Alkathiry, Hussain M. Al-Qahtani

Summary: In this study, the Frimmer-Novotny model for simulating two-level systems by coupled oscillators is extended by incorporating a constant time delay in the coupling. The effects of this delay on system dynamics and two-level modeling are investigated and found to be substantial. The results show that the delay has oscillatory effects on the system dynamics and can govern the energy transfer dynamics and coherence. The delay and the coupling strength both play a critical role in determining the stability of the system.

PHYSICA SCRIPTA (2022)

Article Engineering, Electrical & Electronic

Neuro-Inspired Autonomous Data Acquisition for Energy-Constrained IoT Sensors

Saleh Bunaiyan, Feras Al-Dirini

Summary: This article proposes an autonomous data acquisition approach for energy-constrained IoT sensors, achieving autonomy through rapid real-time event detection. A proof-of-concept circuit is designed, and a case study on an Industrial IoT (IIoT) application is investigated, demonstrating the feasibility of the proposed approach.

IEEE SENSORS JOURNAL (2022)

Article Chemistry, Physical

Constraint-based analysis of a physics-guided kinetic energy density expansion

Bader H. Aldossari, Asem Alenaizan, Abdulaziz H. Al-Aswad, Fahhad H. Alharbi

Summary: This article demonstrates the application of an approach guided by physical consistency in determining the general forms of kinetic energy density functionals (KEDF) and compares them with known KEDFs.

INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY (2023)

Proceedings Paper Engineering, Electrical & Electronic

MTJ-Based p-Bit Designs for Enhanced Tunability

Saleh Bunaiyan, Feras Al-Dirini

Summary: This paper studies the tunability range of existing p-bit designs and proposes new designs that enable a wider input voltage range and a more continuous response.

2022 IEEE NANOTECHNOLOGY MATERIALS AND DEVICES CONFERENCE, NMDC (2022)

Proceedings Paper Computer Science, Information Systems

Real-Time Analog Event-Detection for Event-Based Synchronous Sampling of Sparse Sensor Signals

Saleh Bunaiyan, Feras Al-Dirini

Summary: This paper introduces an event-based sampling technique for selective acquisition of event-data from sparse sensor signals, achieved through real-time event detection in the analog domain using an analog event-detection (AED) circuit. This approach combines advantageous features of uniform and non-uniform techniques, allowing for richer information content in acquired data and significant reduction in overall power consumption. The impact of this technique is further demonstrated on seismic data acquisition for oil and gas exploration.

2021 IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS) (2021)

Proceedings Paper Green & Sustainable Science & Technology

Identifying Highly Stable Structures of ABX3 Compounds: Cases of CaTiO3 and CsGeCl3 Perovskites

Saad M. Alqahtani, Abduljabar Q. Alsayoud, Fahhad H. Alharbi

Summary: This study presents an approach utilizing density functional theory (DFT) incorporated with the Standard Solid-State Pseudopotentials (SSSP) precision library and random sampling to identify highly stable structures of ABX(3) materials. The highly stable structure of CaTiO3 is found to be perovskite in Pnma (#62) spacegroup, while it is non-perovskite in P1 (#1) spacegroup for CsGeCl3.

2021 6TH INTERNATIONAL CONFERENCE ON RENEWABLE ENERGY: GENERATION AND APPLICATIONS (ICREGA) (2021)

Article Chemistry, Physical

Multifunctional continuous solid solution Na0.9Mg0.45Ti3.55O8-Na2Fe2Ti6O16: Preparation, characterization, magnetism, dual absorption, adsorption, and photocatalysis

Qi-Wen Chen, Ze-Qing Guo, Jian-Ping Zhou

Summary: Multifunctional continuous solid solutions NFMTO-x were successfully synthesized via a one-step hydrothermal method by controlling the ratio of Mg and Fe. The NFMTO-x materials exhibited enhanced visible light response, effective adsorption and photocatalytic degradation of organic pollutants, CO2 methanation capability, and easy recyclability due to their magnetic properties. This research provides a significant multifunctional material for water purification.

APPLIED SURFACE SCIENCE (2024)

Review Chemistry, Physical

Critical advances in the field of magnetron sputtered bioactive glass thin-films: An analytical review

George E. Stan, Maziar Montazerian, Adam Shearer, Bryan W. Stuart, Francesco Baino, John C. Mauro, Jose M. F. Ferreira

Summary: Bioactive glasses have the ability to form strong bonds with tissues and release therapeutic ions. However, their biomechanical compatibility limits their use in load-bearing applications. The use of magnetron sputtering technology to fabricate BG coatings shows promise in improving their efficacy and potential for application.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Corrosion mode evaluation of Fe-based glassy alloys with metalloid elements by electrochemical noise (EN)

Zhaoxuan Wang, Zhicheng Yan, Zhigang Qi, Yu Feng, Qi Chen, Ziqi Song, Meng Huang, Peng Jia, Ki Buem Kim, Weimin Wang

Summary: The corrosion behavior of Fe-60 and Fe-83 ribbons in 0.6 M NaCl was studied. Fe-60 exhibited a local corrosion mode and formed a stable passivation film with higher corrosion resistance, while Fe-83 showed a combination of local and global corrosion modes and had lower corrosion resistance. Controlling the precipitation of nanocrystalline phases and increasing the POx content in the passivation film significantly improved the corrosion resistance of Fe-based glassy alloys.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Impacts of Zr content of HfZrOx-Based FeFET memory on resilience towards proton radiation

Hao-Kai Peng, Sheng-Yen Zheng, Wei-Ning Kao, Ting-Chieh Lai, Kai-Sheun Lee, Yung- Hsien Wu

Summary: This study investigates the effects of high energy/fluence proton radiation on the performance of HfZrOx-based FeFETs memory with different Zr content. The results show that the characteristics of FeFETs are influenced by proton radiation, and the extent of the influence depends on the Zr content. FeFETs with 50% Zr content exhibit minimal changes in memory window and demonstrate good endurance and retention performance.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Excellent crystalline silicon surface passivation by transparent conductive Al-doped ZnO/ITO stack

Zongyi Yue, Guangyi Wang, Zengguang Huang, Sihua Zhong

Summary: In this study, AZO and ITO films were successfully tuned as excellent passivation layers for c-Si surfaces, achieving effective minority carrier lifetime and outstanding optical properties through the optimization of annealing temperature and interfacial silicon oxide.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Hydrogen sensing capabilities of highly nanoporous black gold films

Martin Hruska, Jan Kejzlar, Jaroslav Otta, Premysl Fitl, Michal Novotny, Jakub Cizek, Oksana Melikhova, Matej Micusik, Peter Machata, Martin Vrnata

Summary: This paper presents a detailed study on the hydrogen sensing capabilities of highly nanoporous black gold films. The films exhibit fast response and recovery times at low temperatures. Different levels of nanoporosity were prepared and tested to investigate the sensing properties, and it was found that nanoporous black gold is suitable for hydrogen sensing. The sensitivity of the film depends on its nanoporosity.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Abnormal stability of hydrogenic defects and magnetism near the HSrCoO2.5(001) surface

Yupu Wang, Gaofeng Teng, Chun To Yiu, Junyi Zhu

Summary: In the study of BM-SCO and HSCO thin films, it was found that H vacancies tend to prefer sites near the external surface or oxygen vacancy channels (OVCs), while H interstitials prefer sites of oxygen on a layer that contains six-fold coordinated Co. These findings not only enrich the understanding of complex surface phenomena of defect formation but also provide an explanation for the reversibility during phase transformation.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Space variant fiber nanogratings induced by femtosecond laser direct writing

Jiafeng Lu, Linping Teng, Qinxiao Zhai, Chunhua Wang, Matthieu Lancry, Ye Dai, Xianglong Zeng

Summary: In this study, we achieved full control of fiber nanograting orientation by manipulating laser polarization, and tailored space variant fiber nanogratings, which expanded the diversity in fiber nanograting engineering.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Wetting mechanisms in the mass transfer process of CuSi3 droplets on the TC4 and 304SS multi-metal system controlled by the hybrid shielding gas atmosphere

Yibo Liu, Yujie Tao, Yue Liu, Qi Sun, Qinrong Lin, Kexin Kang, Qinghua Zhang, Qingjie Sun

Summary: This study investigates the wettability of the Ti-Cu-Fe multi-metal system, specifically the wetting behaviors of CuSi3 droplets on TC4 and 304SS plates. The results show that the CO2 + Ar gas atmosphere significantly affects interfacial mass transfer, thus influencing the wettability of the systems.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Size-regulated Co-doped hetero-interfaced 3D honeycomb MXene as high performance electromagnetic absorber with anti-corrosion performance

Jimei Liu, Fei Wang, Rong Guo, Yuqi Liu, Mengyu Zhang, Jaka Sunarso, Dong Liu

Summary: This study developed Co/MXene composites with anti-corrosion properties by varying the cobalt content. These composites exhibited remarkable electromagnetic absorption performance and high resistance to corrosion under various corrosive conditions. The study also revealed the mechanism of electron transfer from cobalt to MXene and the electromagnetic dissipation behavior originated from polarization loss alone.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Ultrafine Ru nanoparticles on nitrogen-doped CNT arrays for HER: A CVD-based protocol achieving microstructure design and strong catalyst-support interaction

Moujie Huang, Yongsong Ma, Jingbo Yang, Lingyun Xu, Hangqi Yang, Miao Wang, Xin Ma, Xin Xia, Junhao Yang, Deli Wang, Chuang Peng

Summary: Strong metal-support interactions (SMSIs) are important for enhancing catalytic activities and stability in thermal catalysis. This study demonstrates a method to create SMSIs in electrocatalysis using carbon nanotubes and Ru nanoparticles, resulting in excellent catalytic activity and stability.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Novel biphenylene as cisplatin anticancer drug delivery carrier; insight from theoretical perspective

Ravi Trivedi, Brinti Mondal, Nandini Garg, Brahmananda Chakraborty

Summary: This study explores the potential of biphenylene as a nanocarrier for the delivery of the anticancer drug cisplatin. It is found that biphenylene offers physical stability, rapid release rate, solubility, and bio-compatibilities compared to other nanocarriers. The adsorption of cisplatin on the surface of biphenylene involves charge transfer from cisplatin to biphenylene. The drug is shown to be released at body temperature in an acidic environment. Biphenylene also exhibits excellent cytotoxicity activity and cellular uptake of the drug. Overall, biphenylene shows promise as a potential nanocarrier for cisplatin delivery.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Platform for surface-enhanced Raman scattering in layered quantum materials

Hyun Jeong, Hyeong Chan Suh, Ga Hyun Cho, Rafael Salas-Montiel, Hayoung Ko, Ki Kang Kim, Mun Seok Jeong

Summary: In this study, a potential platform to enhance Raman scattering and increase the number of observable Raman modes in monolayer transition metal dichalcogenides (TMDs) was proposed. The platform consisted of large-scale arrays of gold micropillars (MPs), which were able to enhance the Raman intensity of TMDs and make difficult-to-detect Raman modes observable. The platform showed great industrial advantages and wide applicability due to its low cost, simple process, large controllable area, and short process time.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Cyclotriphosphazene (P3N3) derived FeOx@SPNO-C core-shell nanospheres as peroxymonosulfate activator for degradation via non-radical pathway

Yasir Abbas, Shafqat Ali, Sajjad Ali, Waqar Azeem, Zareen Zuhra, Haoliang Wang, Mohamed Bououdina, Zhenzhong Sun

Summary: In this study, FeOx@SPNO-C core-shell nanospheres as a catalyst for degradation of sulfamethoxazole (SMX) were successfully synthesized. The synergistic interaction between FeOx and SPNO-C, high carbon charge density, and the presence of C = O groups and N/Fe-Nx sites were found to be key factors for the enhanced degradation of SMX.

APPLIED SURFACE SCIENCE (2024)

Article Chemistry, Physical

Hierarchical confinement of Prussian blue nanoparticles via NH2-MIL-88B (Fe): Rational design and electrocatalytic application

Qiaoting Yang, Yuxiao Gong, Yan Qian, Zhou-Qing Xiao, Serge Cosnier, Xue-Ji Zhang, Robert S. Marks, Dan Shan

Summary: This study proposes a hierarchical confinement strategy to design Prussian blue nanoparticles (PB NPs) with satisfactory electrocatalytic ability and stability. The catalytic synthesis of PB NPs is achieved through a hydrothermal process, and the as-prepared PB@NH2MIL exhibits efficient electronic transmission and enhanced electrocatalytic properties.

APPLIED SURFACE SCIENCE (2024)