In the current study, we use Galerkin finite-element simulation to analyze the concept of triple diffusive flow with magnetic field effect toward a power law stretching sheet. The fluid comprises dissolved solutal particles and nanoparticles in the base fluid. The

Conventional metals, in general, do not exhibit strong photoluminescence. 2H-TaSe 2 is a layered transition metal dichalcogenide that possesses metallic property with charge density wave characteristics. Here we show that 2H-TaSe 2 exhibits a surprisingly strong optical absorption and photoluminescence resulting from inter-band transitions. We use this perfect combination of electrical and optical properties in several optoelectronic applications. We show a sevenfold enhancement in the photoluminescence intensity of otherwise weakly luminescent multi-layer MoS 2 through non-radiative resonant energy transfer from TaSe 2 transition dipoles. Using a combination of scanning photocurrent and time-resolved photoluminescence measurements, we also show that the hot electrons generated by light absorption in TaSe 2 have a rather long lifetime unlike conventional metals, making TaSe 2 an excellent hot electron injector. Finally, we show a vertical TaSe 2 /MoS 2 /graphene photodetector demonstrating a responsivity of >10 AW −1 at 0.1 MHz-one of the fastest reported photodetectors using MoS 2 .

Optical spectrometers have propelled scientific and technological advancements in a wide range of fields. While sophisticated systems with excellent performance metrics are serving well in controlled laboratory environments, many applications require systems that are portable, economical, and robust to optical misalignment. Here, we propose and demonstrate a spectrometer that uses a planar one-dimensional photonic crystal cavity as a dispersive element and a reconstructive computational algorithm to extract spectral information from spatial patterns. The simple fabrication and planar architecture of the photonic crystal cavity render our spectrometry platform economical and robust to optical misalignment. The reconstructive algorithm allows miniaturization and portability. The intensity transmitted by the photonic crystal cavity has a wavelength-dependent spatial profile. We generate the spatial transmittance function of the system using finite-difference time-domain method and also estimate the dispersion relation. The transmittance function serves as a transfer function in our reconstructive algorithm. We show accurate estimation of various kinds of input spectra. We also show that the spectral resolution of the system depends on the cavity linewidth that can be improved by increasing the number of periodic layers in distributed Bragg mirrors. Finally, we experimentally estimate the center wavelength and linewidth of the spectrum of an unknown light emitting diode. The estimated values are in good agreement with the values measured using a commercial spectrometer.

The intention of the present work is to analyze the influence of magnetohydrodynamic slip flow with radiation effect toward a nonlinear stretching cylinder in the presence of outer velocity. Similarity variables are applied to convert the governing partial differential equations into ordinary differential equations. The Runge‐Kutta‐Fehlberg approach was adopted to numerically solve the modified equations by use of the Shooting method. The effect of prominent fluid parameters especially the velocity slip parameter, temperature slip parameter, concentration slip parameter, outer velocity, magnetic parameter, nonlinear stretching parameter, Schmidt number, and Eckert number on the velocity, temperature, and concentration have been examined and are displayed through graphs and tables. Numerical results of various parameters involved for the skin friction coefficient, the local Nusselt numbers, and the local Sherwood numbers are determined and also discussed in detail. In the present study, we used MATLAB for finding the final outcomes and relating the conclusive results for −θ0′(0) with those of already published papers. The outcomes reveal that with an increase in outer velocity, the fluid velocity increases while the temperature and concentration decrease. In the case of a higher nonlinear stretching parameter, the temperature as well as concentration decrease. The findings of the present study help to control the rate of heat transportation and highlight many applications in the insulation of wires, manufacturing of tetrapacks, production of glass fibers, fabrication of various polymers and plastic packs, rubber sheets, and so forth, where the quality of the desired product depends on the rate stretching, external magnetic field, and the composition of the material used, and manufacturing processes.

Sentiment Analysis is a method for judging somebody's sentiment or feeling with respect to a specific thing. It is utilized to recognize and arrange the sentiments communicated in writings. The web-based social networking sites like twitter draws in a huge number of clients that are online for imparting their insights in the form of tweets or comments. The tweets can be then classified into positive, negative, or neutral. In the proposed work, logistic regression classification is used as a classifier and unigram as a feature vector. For accuracy, k fold cross validation data mining technique is used. For choosing precise training sample, tweet subjectivity is utilized. The idea of Effective Word Score heuristic is likewise presented to find the polarity score of words that are frequently used. This additional heuristic can speed up the classification process of sentiments with standard machine learning approaches.