scholarly journals Low-Dimensional Materials and State-of-the-Art Architectures for Infrared Photodetection

Sensors ◽  
2018 ◽  
Vol 18 (12) ◽  
pp. 4163 ◽  
Author(s):  
Nasir Ilyas ◽  
Dongyang Li ◽  
Yuhao Song ◽  
Hao Zhong ◽  
Yadong Jiang ◽  
...  

Infrared photodetectors are gaining remarkable interest due to their widespread civil and military applications. Low-dimensional materials such as quantum dots, nanowires, and two-dimensional nanolayers are extensively employed for detecting ultraviolet to infrared lights. Moreover, in conjunction with plasmonic nanostructures and plasmonic waveguides, they exhibit appealing performance for practical applications, including sub-wavelength photon confinement, high response time, and functionalities. In this review, we have discussed recent advances and challenges in the prospective infrared photodetectors fabricated by low-dimensional nanostructured materials. In general, this review systematically summarizes the state-of-the-art device architectures, major developments, and future trends in infrared photodetection.

2017 ◽  
Vol 19 (41) ◽  
pp. 28354-28359 ◽  
Author(s):  
Xiaolin Cai ◽  
Chunyao Niu ◽  
Yuan-Yao He ◽  
Jianjun Wang ◽  
Zhili Zhu ◽  
...  

Manipulating magnetism of low-dimensional materials is of great importance for their practical applications.


Nanoscale ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 5067-5074 ◽  
Author(s):  
Yajun Zhang ◽  
Xu He ◽  
Minglei Sun ◽  
Jie Wang ◽  
Philippe Ghosez

Tuning the half-metallicity of low-dimensional materials using an electric field is particularly appealing for spintronic applications but typically requires an ultra-high field, hampering practical applications.


Electronics ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1407
Author(s):  
Peng Wang ◽  
Jing Zhou ◽  
Yuzhang Liu ◽  
Xingchen Zhou

Knowledge graph embedding aims to embed entities and relations into low-dimensional vector spaces. Most existing methods only focus on triple facts in knowledge graphs. In addition, models based on translation or distance measurement cannot fully represent complex relations. As well-constructed prior knowledge, entity types can be employed to learn the representations of entities and relations. In this paper, we propose a novel knowledge graph embedding model named TransET, which takes advantage of entity types to learn more semantic features. More specifically, circle convolution based on the embeddings of entity and entity types is utilized to map head entity and tail entity to type-specific representations, then translation-based score function is used to learn the presentation triples. We evaluated our model on real-world datasets with two benchmark tasks of link prediction and triple classification. Experimental results demonstrate that it outperforms state-of-the-art models in most cases.


Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1535
Author(s):  
Shiu-Ming Huang ◽  
Jai-Lung Hung ◽  
Mitch Chou ◽  
Chi-Yang Chen ◽  
Fang-Chen Liu ◽  
...  

Broadband photosensors have been widely studied in various kinds of materials. Experimental results have revealed strong wavelength-dependent photoresponses in all previous reports. This limits the potential application of broadband photosensors. Therefore, finding a wavelength-insensitive photosensor is imperative in this application. Photocurrent measurements were performed in Sb2Te3 flakes at various wavelengths ranging from visible to near IR light. The measured photocurrent change was insensitive to wavelengths from 300 to 1000 nm. The observed wavelength response deviation was lower than that in all previous reports. Our results show that the corresponding energies of these photocurrent peaks are consistent with the energy difference of the density of state peaks between conduction and valence bands. This suggests that the observed photocurrent originates from these band structure peak transitions under light illumination. Contrary to the most common explanation that observed broadband photocurrent carrier is mainly from the surface state in low-dimensional materials, our experimental result suggests that bulk state band structure is the main source of the observed photocurrent and dominates the broadband photocurrent.


2019 ◽  
Vol 3 (3) ◽  
Author(s):  
Peter Mahler Larsen ◽  
Mohnish Pandey ◽  
Mikkel Strange ◽  
Karsten Wedel Jacobsen

Nanoscale ◽  
2021 ◽  
Author(s):  
Ivan Marri ◽  
Stefano Ossicini

An important challenge in the field of renewable energy is the development of novel nanostructured solar cell devices which implement low-dimensional materials to overcome the limits of traditional photovoltaic systems....


2021 ◽  
Vol 7 (16) ◽  
pp. eabf7358
Author(s):  
Meng Peng ◽  
Runzhang Xie ◽  
Zhen Wang ◽  
Peng Wang ◽  
Fang Wang ◽  
...  

Blackbody-sensitive room-temperature infrared detection is a notable development direction for future low-dimensional infrared photodetectors. However, because of the limitations of responsivity and spectral response range for low-dimensional narrow bandgap semiconductors, few low-dimensional infrared photodetectors exhibit blackbody sensitivity. Here, highly crystalline tellurium (Te) nanowires and two-dimensional nanosheets were synthesized by using chemical vapor deposition. The low-dimensional Te shows high hole mobility and broadband detection. The blackbody-sensitive infrared detection of Te devices was demonstrated. A high responsivity of 6650 A W−1 (at 1550-nm laser) and the blackbody responsivity of 5.19 A W−1 were achieved. High-resolution imaging based on Te photodetectors was successfully obtained. All the results suggest that the chemical vapor deposition–grown low-dimensional Te is one of the competitive candidates for sensitive focal-plane-array infrared photodetectors at room temperature.


Nanoscale ◽  
2021 ◽  
Author(s):  
Z.Q. Zheng ◽  
Yuchen Zhou ◽  
Wei Gao ◽  
Li Zhang ◽  
Mengmeng Yang ◽  
...  

Heterojunctions based on low-dimensional materials can combine the superiorities of each composition and realize novel properties. Herein, a mixed-dimensional heterojunction comprising multilayer WS2, CdS microwire and few-layer WS2 has been...


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