Interference of a Narrowband Biphoton with Double Electromagnetically Induced Transparency in an N-Type System

We predict the possibility of the interference of narrow-band biphotons generated by spontaneous four-wave mixing with double electromagnetically induced transparency configuration in cold atoms.In an N-type fourlevel system,an auxiliary optical field Ωm can create double transparency windows for anti-Stokes photons.When the slow light effects in the double transparency windows are very strong,two four-wave mixing channels could exist due to the splitting of the phase matching condition.The biphoton generated from the two four-wave mixing channels can cause interference and shows Rabi oscillations in two-photon correlation.This interference mechanism will complement the understanding of interference at the two-photon level.

Electronic Skin from High-Throughput Fabrication of Intrinsically Stretchable Lead Zirconate Titanate Elastomer

Electronic skin made of thin,soft,stretchable devices that can mimic the human skin and reconstruct the tactile sensation and perception offers great opportunities for prosthesis sensing,robotics controlling,and human-machine interfaces.Advanced materials and mechanics engineering of thin film devices has proven to be an efficient route to enable and enhance flexibility and stretchability of various electronic skins;however,the density of devices is still low owing to the limitation in existing fabrication techniques.Here,we report a high-throughput one-step process to fabricate large tactile sensing arrays with a sensor density of 25 sensors/cm^(2) for electronic skin,where the sensors are based on intrinsically stretchable piezoelectric lead zirconate titanate(PZT)elastomer.The PZT elastomer sensor arrays with great uniformity and passive-driven manner enable highresolution tactile sensing,simplify the data acquisition process,and lower the manufacturing cost.The high-throughput fabrication process provides a general platform for integrating intrinsically stretchable materials into large area,high device density soft electronics for the next-generation electronic skin.

Identification of various food residuals on denim based on hyperspectral imaging system and combination optimal strategy

As the science and technology develop,crime methods and scenes have become increasingly complex and diverse.Trace evidence analysis has become amore and more important criminal investigation technology and liquid is the main form of trace evidence.Food can provide not only energy,but clues to solve crimes.In this study,we build a hyperspectral imaging system to detect liquid residue traces,including apple juice,coffee,cola,milk and tea,on denims with light,middle and dark colors.The obtained hyperspectral images are first subjected to spectral calibration and hyperspectral data pretreatment.Subsequently,Partial Least Squares(PLS)is applied to select the informative wavelengths from the preprocessed spectra.For modeling phase,the combination optimal strategy,support vector machine(SVM)combined with random forest(RF),is developed to establish classification models.The experimental results demonstrate that the combination optimal model can achieve TPR,FPR,Precision,Recall,F1,and AUC of 83.5%,2.30%,79.7%,83.5%,81.6%,and 94.7%for classifying fabrics contaminated by various food residuals.With respect to the classification of liquid and fabric types,the combination optimalmodel also yields satisfactory classification performance.In future work,wewill expand the types of liquid,and make appropriate adjustment to algorithms for improving the robustness of classification models.This research may play a positive role in the construction of a harmonious society.

Designing Soft Robots as Robotic Materials

■INTRODUCTION The differences between built and biological machines are innumerable.For example,robots struggle to adapt to and engage with real-world environments,whereas living organisms effortlessly do so.Unlike the multifunctional behaviors of living organisms,robots’capabilities possess limited versatility.Living organisms source energy from their environment,while robots face nontrivial power and computational challenges that complicate their remote deployment.

Inorganic semiconducting materials for flexible and stretchable electronics

Recent progress in the synthesis and deterministic assembly of advanced classes of single crystalline inorganic semiconductor nanomaterial establishes a foundation for high-performance electronics on bendable,and even elastomeric,substrates.The results allow for classes of systems with capabilities that cannot be reproduced using conventional wafer-based technologies.Specifically,electronic devices that rely on the unusual shapes/forms/constructs of such semiconductors can offer mechanical properties,such as flexibility and stretchability,traditionally believed to be accessible only via comparatively low-performance organic materials,with superior operational features due to their excellent charge transport characteristics.Specifically,these approaches allow integration of high-performance electronic functionality onto various curvilinear shapes,with linear elastic mechanical responses to large strain deformations,of particular relevance in bio-integrated devices and bio-inspired designs.This review summarizes some recent progress in flexible electronics based on inorganic semiconductor nanomaterials,the key associated design strategies and examples of device components and modules with utility in biomedicine.