Dramatic Modification of Coupled-Plasmon Resonances Following Exposure to Electron Beams

Leng, Haixu; Szychowski, Brian; Daniel, Marie‐Christine; Pelton, Matthew

doi:10.1021/acs.jpclett.7b01601

Cited by 8 publications

(10 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most notably, films of these NCs are unique in terms of supporting both photocurrents (PC) as well as a plasmon resonance. [ 14,17–20 ] As CuFeS 2 is a narrow gap semiconductor with a bulk bandgap of 0.52 eV (see the Supporting Information), it is a potential candidate for the fabrication of near‐infrared photodetectors. [ 21 ] Being composed only of light, cheap, earth abundant and environmentally benign elements, it could offer an alternative to conventional Pb based semiconductors.…”

Section: Resultsmentioning

confidence: 99%

Copper Iron Sulfide Nanocrystal‐Bulk Silicon Heterojunctions for Broadband Photodetection

Sugathan

Saigal

Rajasekar

et al. 2020

Adv Materials Inter

View full text Add to dashboard Cite

This study describes the optoelectronic characteristics of CuFeS2/Si nanocrystal/bulk heterojunctions. These heterojunctions show a strong photocurrent response under ambient conditions upon excitation from a wide optical spectrum, from 460 to 2200 nm. The devices comprise of a heterojunction formed between heavily doped n‐type silicon (1–100 Ω cm) and copper iron sulfide (CuFeS2) nanocrystal films. Over the spectral range 460–2200 nm the device shows a fast response (20 µs at NIR wavelengths), along with responsivity and detectivity of 4.68 mA W−1 and 5.29 × 109 Jones at 1900 nm wavelength. The photocurrent is further observed to be a nonlinear function of power. These properties of the devices are discussed in terms of a defect filling mechanism. Besides their regular photoresponse described above, the devices also exhibit a slower photothermal response, allowing these to also sense hot objects (450 K; excess 6 mW incident onto the device) within the focal plane, thereby extending the useful sensing range of the devices deeper into the infrared.

show abstract

Section: Resultsmentioning

confidence: 99%

Copper Iron Sulfide Nanocrystal‐Bulk Silicon Heterojunctions for Broadband Photodetection

Sugathan

Saigal

Rajasekar

et al. 2020

Adv Materials Inter

View full text Add to dashboard Cite

show abstract

“…In most of the reported works on this topic, researchers have not directly managed to create Au NR dimers with subnanometer gaps for the generation of plasmon modes involving quantum tunneling. Conductive junctions such as carbonaceous layers can be used to lower the tunneling energy barrier and enable electron tunneling. , Au NRs have also been reported to be welded for the onset of CTP. An interesting observation in these studies is that quantum tunneling-involved systems can optically act like a single complex Au structure with the similar overall geometry.…”

Section: Quantum-related Plasmonic Propertiesmentioning

confidence: 99%

Gold Nanorods: The Most Versatile Plasmonic Nanoparticles

et al. 2021

View full text Add to dashboard Cite

Gold nanorods (NRs), pseudo-one-dimensional rod-shaped nanoparticles (NPs), have become one of the burgeoning materials in the recent years due to their anisotropic shape and adjustable plasmonic properties. With the continuous improvement in synthetic methods, a variety of materials have been attached around Au NRs to achieve unexpected or improved plasmonic properties and explore state-of-the-art technologies. In this review, we comprehensively summarize the latest progress on Au NRs, the most versatile anisotropic plasmonic NPs. We present a representative overview of the advances in the synthetic strategies and outline an extensive catalogue of Au-NR-based heterostructures with tailored architectures and special functionalities. The bottom-up assembly of Au NRs into preprogrammed metastructures is then discussed, as well as the design principles. We also provide a systematic elucidation of the different plasmonic properties associated with the Au-NR-based structures, followed by a discussion of the promising applications of Au NRs in various fields. We finally discuss the future research directions and challenges of Au NRs.

show abstract

“…Despite the apparent complexity, these quantum-assemblies could be either fabricated through a bottom-up approach, i.e. colloidal synthesis, as well as fabricated through a combination of top-down and bottom-up approach, by combining electron beam lithography and guided colloidal deposition [11]. As reported before [12][13][14][15], and illustrated in Fig.…”

Section: Discussionmentioning

confidence: 99%

All-optical nonlinear activation function for photonic neural networks [Invited]

Miscuglio¹,

Mehrabian²,

Hu³

et al. 2018

Opt. Mater. Express

Self Cite

193

View full text Add to dashboard Cite

With the recent successes of neural networks (NN) to perform machine-learning tasks, photonic-based NN designs may enable high throughput and low power neuromorphic compute paradigms since they bypass the parasitic charging of capacitive wires. Thus, engineering data-information processors capable of executing NN algorithms with high efficiency is of major importance for applications ranging from pattern recognition to classification. Our hypothesis is therefore, that if the time-limiting electro-optic conversion of current photonic NN designs could be postponed until the very end of the network, then the execution time of the photonic algorithm is simple the delay of the time-of-flight of photons through the NN, which is on the order of picoseconds for integrated photonics. Exploring such all-optical NN, in this work we discuss two independent approaches of implementing the optical perceptron's nonlinear activation function based on nanophotonic structures exhibiting i) induced transparency and ii) reverse saturated absorption. Our results show that the all-optical nonlinearity provides about 3 and 7 dB extinction ratio for the two systems considered, respectively, and classification accuracies of an exemplary MNIST task of 97% and near 100% are found, which rivals that of software based trained NNs, yet with ignored noise in the network. Together with a developed concept for an all-optical perceptron, these findings point to the possibility of realizing pure photonic NNs with potentially unmatched throughput and even energy consumption for next generation information processing hardware.

show abstract

Dramatic Modification of Coupled-Plasmon Resonances Following Exposure to Electron Beams

Cited by 8 publications

References 50 publications

Copper Iron Sulfide Nanocrystal‐Bulk Silicon Heterojunctions for Broadband Photodetection

Copper Iron Sulfide Nanocrystal‐Bulk Silicon Heterojunctions for Broadband Photodetection

Gold Nanorods: The Most Versatile Plasmonic Nanoparticles

All-optical nonlinear activation function for photonic neural networks [Invited]

Contact Info

Product

Resources

About