Physical noise model of a uniformly doped nanoscale FinFET photodetector

The noise mechanisms of a uniformly doped nanoscale FinFET photodetector including quantum mechanical effects is investigated theoretically. A numerical model has been developed for computation of different noise components in nanoscale FinFET. The drain current channel thermal noise under illuminated conditions is calculated. The noise parameters of the nanoscale FinFET equivalent circuit are strongly influenced by the incident optical signal and the quantum mechanical effects are found to play a major role in determining the overall noise performance of the device. It also reveals that the operating frequency can be adjusted suitably to make the noise behavior independent of the incident optical power. Other noise components such as Shot noise, thermal noise and diffusion noise have been calculated for the two port FinFET photodetector. Signal-to-noise ratio (SNR), Bit error rate (BER) and noise equivalent power (NEP) has also been calculated.     

Synthesis of Novel N‐Morpholinoacetyl‐2,6‐diarylpiperidin‐4‐ones

A series of N‐chloroacetyl‐2,6‐diarylpiperidin‐4‐ones (10–18) obtained from the corresponding 2,6‐diarylpiperidin‐4‐ones upon base‐catalyzed condensation with morpholine afforded N‐morpholinoacetyl‐2,6‐diarylpiperidin‐4‐ones (19–27). The synthesized compounds have been characterized by their elemental, analytical, and spectral data.     

Pressure dependent study of semiconductors using semiempirical equations of state

Abstract

Variation of bulk modulus of Si, Ge and GaAs with pressure is studied using four semiempirical equations of state, two of which being proposed very recently. Hence an expression for bulk modulus for arbitrary pressure for the semiconductors similar to Cohen's formula for zero pressure is arrived at. The applicability of these equations of state for the high pressure phases of Si and Ge is tested using the recent experimental and theoretical pressure-volume data of these phases.     

Bioanalytical method development,validation and quantification of dorsomorphin in rat plasma by LC‐MS/MS

The present investigation describes the development and validation of a sensitive liquid chromatography–mass spectrometry/mass spectrometry (LC‐MS/MS) method for the estimation of dorsomorphin in rat plasma. A sensitive LC‐MS/MS method was developed using multiple reaction monitoring mode, with the transition of m/z (Q1/Q3) 400.2/289.3 for dorsomorphin and m/z (Q1/Q3) 306.2/236.3 for zaleplon. Chromatographic separation was achieved on a reverse phase Agilent XDB C₁₈ column (100 × 4.6 mm, 5 µm). The mobile phase consisted of acetonitrile and 5 mm ammonium acetate buffer (pH 6.0) 90:10 v/v, at a flow rate of 0.8 mL/min. The effluence was ionized in positive ion mode by electrospray ionization (ESI) and quantitated by mass spectrometry. The retention times of dorsomorphin and internal standard were found to be 2.13 and 1.13 min, respectively. Mean extraction recovery of dorsomorphin and internal standard in rat plasma was above 80%. Dorsomorphin calibration curve in rat plasma was linear (r² ≥ 0.99) ranging from 0.005 to 10 µg/mL. Inter‐day and intra‐day precision and accuracy were found to be within 85–115% (coefficient of variation). This method was successfully applied for evaluation of the oral pharmacokinetic profile of dorsomorphin in male Wistar rats. Copyright © 2013 John Wiley & Sons, Ltd.     

Review of wavelet methods for the solution of reaction–diffusion problems in science and engineering

Wavelet method is a recently developed tool in applied mathematics. Investigation of various wavelet methods, for its capability of analyzing various dynamic phenomena through waves gained more and more attention in engineering research. Starting from ‘offering good solution to differential equations’ to capturing the nonlinearity in the data distribution, wavelets are used as appropriate tools at various places to provide good mathematical model for scientific phenomena, which are usually modeled through linear or nonlinear differential equations. Review shows that the wavelet method is efficient and powerful in solving wide class of linear and nonlinear reaction–diffusion equations. This review intends to provide the great utility of wavelets to science and engineering problems which owes its origin to 1919. Also, future scope and directions involved in developing wavelet algorithm for solving reaction–diffusion equations are addressed.     

What We Don’t Know About Time

String theory has transformed our understanding of geometry, topology and space-time. Thus, for this special issue of Foundations of Physics commemorating “Forty Years of String Theory”, it seems appropriate to step back and ask what we do not understand. As I will discuss, time remains the least understood concept in physical theory. While we have made significant progress in understanding space, our understanding of time has not progressed much beyond the level of a century ago when Einstein introduced the idea of space-time as a combined entity. Thus, I will raise a series of open questions about time, and will review some of the progress that has been made as a roadmap for the future.