Effect of size and dimension dependent specific heat on thermal conductivity of nanostructured semiconductors

Arora, Neha; Joshi, Deepika P.; Pachauri, Uma

doi:10.1016/j.matchemphys.2018.05.071

Cited by 11 publications

(5 citation statements)

References 52 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the bottle is a cylinder, with an incident angle θ of the sunlight, the illumination volume ratio is where , , R is the radius of the bottle, and h is the height. Since the heat transfer coefficient of QDs with different sizes can be expressed as , ( N surface is the number of atoms on the surface of the QD, and N total is the number of atoms in one single QD.) and it should be scaled with 2 for the effective surface area for heat diffusion is twice the area for heat absorption from sunlight, the total rate of heat gain would be where h ab refers to the heat-absorbing coefficient (assumed constant in the present work though could be expressed by the Mie theory), m is the total mass of the QDs injected, ρ is the density of QDs, and r is the radius.…”

Section: Resultsmentioning

confidence: 99%

“…the radius of the bottle, and h is the height. Since the heat transfer coefficient of QDs with different sizes can be expressed as ( ) 44 (N surface is the number of atoms on the surface of the QD, and N total is the number of atoms in one single QD.) and it should be scaled with 2 for the effective surface area for heat diffusion is twice the area for heat absorption from sunlight, the total rate of heat gain would be…”

Section: ■ Results and Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Robots Built Robots: Nanorobots Customized by Intelligent Robot

Gao

Liu

et al. 2021

Crystal Growth & Design

View full text Add to dashboard Cite

Nanorobots can adapt to unstructured environments, operate in confined spaces, and interact with various robots. They are ideal robots for exploration and biomedical applications. However, nanorobots’ precise control and improved nanomagnetic robots’ material quality are still challenging. Artificial intelligence (AI) and robotics breakthroughs have opened up historic opportunities for nanomagnetic robots’ fabrication and synthesis. Here, we provide a method for fabricating magnetic nanorobots with an intelligent robotic system updated from a conventional autonomous experimental platform. The nanorobots synthesized by robotics feature uniformly sized samples and can significantly reduce time costs. This work provides new ideas as well as methods for the development of nanorobots.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: ■ Results and Discussionmentioning

confidence: 99%

Robots Built Robots: Nanorobots Customized by Intelligent Robot

Gao

Liu

et al. 2021

Crystal Growth & Design

View full text Add to dashboard Cite

show abstract

“… is the height. Since that the heat transfer coefficient of NPs with different sizes can be expressed as ( is the number of surface atoms, and is the number of atoms in one single NP) and it should be scaled with 2 because the effective surface area for heat diffusion is twice the area for heat absorption from sunlight, the total rate of heat gain would be where refers to the heat-absorbing coefficient (assumed constant in the present work though could be expressed by the Mie theory), is the total mass of the AuNPs injected, is the density of gold, and is the radius of the AuNPs. The above case is for the assumption where the radius of all AuNPs is identical.…”

Section: Resultsmentioning

confidence: 99%

“…h is the height. Since that the heat transfer coefficient of NPs with different sizes can be expressed as ( ) 27 (N surface is the number of surface atoms, and N total is the number of atoms in one single NP) and it should be scaled with 2 because the effective surface area for heat diffusion is twice the area for heat absorption from sunlight, the total rate of heat gain would be…”

Section: ■ Results and Discussionmentioning

confidence: 99%

Gold Nanoparticle-Based Nanoengines for Light-Induced Plasmonic Bubble Generation

Liu

et al. 2020

ACS Appl. Nano Mater.

View full text Add to dashboard Cite

This paper explores the rate and severity of plasmonic bubble generation by gold nanoparticles (AuNPs) of different sizes and concentrations under sunlight illumination. An AuNP nanoengine has been built and optimized through related phenomena, and the size of AuNPs has been controlled through the automatic experiment robot. The bubble generation occurred within about 2–3 min before bursting within 1 s. It occurred 4–5 times and could propel an improved Stirling steam engine. This nanoengine can continuously output work at 40 W/m2. With increased illumination time, the pressure could exceed 10 atm, causing an explosion, indicating the superstrong energy capacity in the AuNP solution.

show abstract

“…The observed value of thermal conductivity by considering the Umklapp processes the dominant scattering mechanism 2.9036 W/mK at room temperature. Besides, low thermal materials are desired to make any material more efficient[26].It is clear from fig.5(a) that GaAsSb alloy specific heat decrease for a higher value of antimony composition at room temperature. It is clear from the equation that specific heat is inversely proportional to the GaAsSb semiconductor alloy density.…”

mentioning

confidence: 99%

Theoretical Approach to Study the Physical Properties of GaAsSb Alloy

Sharma

Gupta

Bhattarai

et al. 2021

Preprint

View full text Add to dashboard Cite

The physical properties of GaAsSb alloy are studied using a numerical method for a wide range of antimony compositions and temperatures. In the study of the phase diagram, the binodal curve describes the limits of solid solubility. In contrast, the spinodal curve points to the equilibrium solubility limit called the miscibility gap. It signifies that the GaAsSb alloy over intermediate compositions has a stable phase at a normal growth temperature and illustrates a large miscibility gap enclosed by the binodal line. It has been observed that GaAsSb alloy exhibiting the mixing enthalpy of about 1.1 kcal/mole and corresponds to critical temperature Tc by 1580 K. Whereas, the rate at which Debye temperature decreasing along with crystallographic direction Λ by 3.88/%Sb, Σ by 2.85/%Sb, and Δ by 1.59/%Sb. Also, we calculated the specific heat of GaAsSb alloy (35%Sb) at room temperature 49.1076 J/mole K and thermal conductivity by considering the Umklapp processes the dominant scattering mechanism 2.9036 W/mK. We also calculated the threshold energy due to the non-parabolicity effect and seen monotonic variation in temperature-dependent intrinsic carrier concentration of the GaAsSb alloy. Thus, make the right choice for several applications, such as photodetectors, photodiodes, and solar cells, and so on.

show abstract

Effect of size and dimension dependent specific heat on thermal conductivity of nanostructured semiconductors

Cited by 11 publications

References 52 publications

Robots Built Robots: Nanorobots Customized by Intelligent Robot

Robots Built Robots: Nanorobots Customized by Intelligent Robot

Gold Nanoparticle-Based Nanoengines for Light-Induced Plasmonic Bubble Generation

Theoretical Approach to Study the Physical Properties of GaAsSb Alloy

Contact Info

Product

Resources

About