Erratum: “Charged particle-display” [J. Appl. Phys. 106, 033505 (2009)]

Cho, Sung Nae

doi:10.1063/1.3223333

Cited by 4 publications

(5 citation statements)

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“…The response of colloids and nanoparticles to external electric fields has proved to be an extremely flexible and powerful technique to control the self-assembly of functional materials. Field-responsive photonic structures form the basis for a wide range of current and future technologies with applications in areas such as full-color display units, , flexible electronic replacements for paper, − chemical and biochemical sensors, data storage media, and active optical components . Such practical applications often require the use of organic solvents for ease of fabrication or for long-term stability.…”

Section: Introductionmentioning

confidence: 99%

Nanoparticle Charge Control in Nonpolar Liquids: Insights from Small-Angle Neutron Scattering and Microelectrophoresis

et al. 2010

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Electrostatic forces are typically produced in low polarity solvents by the addition of surfactants or charge-control additives. Although widely used, there is no consensus on the mechanism by which surfactants control the level of particle charge. We report an investigation using highly sensitive, single particle optical microelectrophoresis measurements combined with a small-angle neutron scattering study to establish the mechanism of charging by the surfactant AOT in the nonpolar solvent n-dodecane. We show that polymer-grafted particles with no chemically bound surface charges only charge above the critical micellar concentration of the surfactant. The surface potential increases gradually with increasing surfactant concentration c, before finally saturating at high c. The increase in the surface potential is correlated to the amount of surfactant adsorbed onto the surface of the particle. Using deuterated AOT and contrast variation techniques, we demonstrate that the surfactant is adsorbed within the polymer layer surrounding the particle core, probably as individual molecules rather than surfactant aggregates. A simple thermodynamic model accounts for the concentration dependence of the observed surface potential.

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Section: Introductionmentioning

confidence: 99%

Nanoparticle Charge Control in Nonpolar Liquids: Insights from Small-Angle Neutron Scattering and Microelectrophoresis

et al. 2010

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“…[49] The decay parameters α, β, and I ss are dependent on the pulse width of light during the illumination phase, that is, they are dependent on the initial current I o . [55,62] Therefore, the model can be expanded to include the decay curves of different pulse width as follow…”

Section: Resultsmentioning

confidence: 99%

Adaptive Convolutional Neural Networks for Enhanced Memory Retention and Restoration in Optoelectronic Vision Devices

Aung

Ahmed

Mazumder

et al. 2023

Advanced Intelligent Systems

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Optoelectronic devices based on optically responsive materials have gained significant attention due to their low cross talk and reduced power consumption. These devices rely on light‐induced changes in conductance states, which are used to create synaptic weights for image recognition tasks in neural networks. However, a major drawback of such devices is the rapid decay of conductance states after light stimulus removal, which hinders their long‐term memory and performance without a continuous external stimulus in place. To address this issue, a platform neural network scheme is proposed to counter the natural decay of conductance in optoelectronic devices. The approach restores the memory effect of the devices and significantly enhances their performance by several orders of magnitude without using additional energy‐intensive techniques like training pulses or gate fields. Herein, the model is validated experimentally using optoelectronic devices fabricated with two different materials, BP and doped In2O3, and demonstrates the restoration of memory/image retention ability to any material system being studied for optoelectronic synapses and vision. This approach has important implications for the practical application of neuromorphic visual processing technologies, bringing them closer to real‐world applications.

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“…carrier traps [93,94]. Among these, deeper energy lever traps exhibit a stronger affinity for charges and accumulate them accordingly [93][94][95]. Therefore, insights into which groups or chemical components lead to deep-level trapping in insulating materials could pave the way for an ideal regulatory approach by effectively eliminating such components during preparation, hence reducing surface charge accumulation.…”

Section: Charge Carrier Trapsmentioning

confidence: 99%

Insight into charge-induced flashover at the gas–solid interface in DC gas-insulated systems

Zhang,

Li,

Min

et al. 2023

J. Phys. D: Appl. Phys.

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The proliferation of urbanization and the integration of new energy sources have stimulated the development of gas-insulated transmission lines and switchgear (GIL/GIS). In particular, the compact DC GIS in offshore converter platforms will significantly reduce footprints for DC switchyards, exhibit exceptional climatic resistance, and facilitate the cost-effective connection of remote offshore wind farms and submarine links. Nevertheless, insulators used in GIS/GIL always suffer from surface charge accumulation under DC stress, which could distort and enhance the local electric field and thus trigger a flashover at the gas-solid interface if it exceeds certain magnitude levels. This susceptibility becomes a major concern affecting the reliability of DC gas-insulated systems. Beyond these engineering-related challenges lie fundamental physics problems involving mechanisms of charge accumulation and charge-induced flashover which still require exploration. To this end, this paper presents an overview of recent advancements on this topic whilst highlighting relevant issues to be addressed. Specifically, the surface charge accumulation phenomena under DC fields are reviewed, and the charging mechanisms are summarized from macroscopic to microscopic perspectives. Further, the correlation between surface charge and surface flashover is discussed. Moreover, recent developments in tailoring methods for surface charging are also presented. Finally, perspectives are given on current research progress and future needs.

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Erratum: “Charged particle-display” [J. Appl. Phys. 106, 033505 (2009)]

Cited by 4 publications

References 0 publications

Nanoparticle Charge Control in Nonpolar Liquids: Insights from Small-Angle Neutron Scattering and Microelectrophoresis

Nanoparticle Charge Control in Nonpolar Liquids: Insights from Small-Angle Neutron Scattering and Microelectrophoresis

Adaptive Convolutional Neural Networks for Enhanced Memory Retention and Restoration in Optoelectronic Vision Devices

Insight into charge-induced flashover at the gas–solid interface in DC gas-insulated systems

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