arXiv subjects

Jinlong Zhu

Publications and source records attributed to Jinlong Zhu.

23 records · Page 2Linked to original sources

arXiv2019

Visualizable Detection of Nanoscale Perturbations

Using light to non-destructively detect nanoscale perturbations is vital to many fields including material characterization, human disease diagnosis, and semiconductor electronics. In this work, we introduce the concepts of electromagnetic canyons and non-resonance amplification and apply them on a conventional diffraction-limited optical microscope to directly view individual perturbations (25-nm radius = wavelength/31) in a nanoscale volume. Considering the extensive impact of microscopy on scientific discovery and technology development, our noninvasive imaging-based method with deep subwavelength footprint will have far-reaching consequences that will affect our everyday lives.

physics.optics↗

arXiv2019

Optical deep learning nano-profilometry

Determining the dimensions of nanostructures is critical to ensuring the maximum performance of many geometry-sensitive nanoscale functional devices. However, accurate metrology at the nanoscale is difficult using optics-based methods due to the diffraction limit. In this article, we propose an optical nano-profilometry framework with convolutional neural networks, which can retrieve deep sub-wavelength geometrical profiles of nanostructures from their optical images or scattering spectra. The generality, efficiency, and accuracy of the proposed framework are validated by performing two different measurements on three distinct nanostructures. We believe this work may catalyze more explorations of optics-based nano-metrology with deep learning.

physics.app-ph↗

arXiv2019

Application of support vector machine for the fast and accurate reconstruction of nanostructures in optical scatterometry

Nonlinear regression methods, such as local optimization algorithms, are widely used in the extraction of nanostructure profile parameters in optical scatterometry. The success of local optimization algorithms heavily relies on the estimated initial solution. If the initial solution is not appropriately selected, it will either take a long time to converge to the global solution or will result in a local one. Thus, it is of great importance to developing a method to guarantee the capture of a globally optimal solution. In this paper, we propose a method that combines the support vector machine and Levenberg-Marquardt algorithm for the fast and accurate parameters extraction. The SVM technique is introduced to pick out a sub-range in the rough ranges of parameters, in which an arbitrary selected initial solution for the LM algorithm is then able to achieve the global solution with a higher possibility. Simulations and experiments conducted on a one-dimensional Si grating and a deep-etched multilayer grating have demonstrated the feasibility and efficiency of the proposed method.

math.OC↗

arXiv2015

Ultrahigh Pressure Superconductivity in Molybdenum Disulfide

Superconductivity commonly appears under pressure in charge density wave (CDW)-bearing transition metal dichalcogenides (TMDs), but has emerged so far only via either intercalation with electron donors or electrostatic doping in CDW-free TMDs. Theoretical calculations have predicted that the latter should be metallized through bandgap closure under pressure, but superconductivity remained elusive in pristine 2H-MoS2 upon substantial compression, where a pressure of up to 60 GPa only evidenced the metallic state. Here we report the emergence of superconductivity in pristine 2H-MoS2 at 90 GPa. The maximum onset transition temperature Tc(onset) of 11.5 K, the highest value among TMDs and nearly constant from 120 up to 200 GPa, is well above that obtained by chemical doping but comparable to that obtained by electrostatic doping. Tc(onset) is more than an order of magnitude larger than present theoretical expectations, raising questions on either the current calculation methodologies or the mechanism of the pressure-induced pairing state. Our findings strongly suggest further experimental and theoretical efforts directed toward the study of the pressure-induced superconductivity in all CDW-free TMDs.

cond-mat.supr-con↗

arXiv2011

Pressure-induced isostructural phase transition and correlation of FeAs coordination with the superconducting properties of 111-type Na1-xFeAs

The effect of pressure on the crystalline structure and superconducting transition temperature (Tc) of the 111-type Na1-xFeAs system using in situ high pressure synchrotron x-ray powder diffraction and diamond anvil cell techniques is studied. A pressure-induced tetragonal to tetragonal isostructural phase transition was found. The systematic evolution of the FeAs4 tetrahedron as a function of pressure based on Rietveld refinements on the powder x-ray diffraction patterns was obtained. The non-monotonic Tc(P) behavior of Na1-xFeAs is found to correlate with the anomalies of the distance between the anion (As) and the iron layer as well as the bond angle between As-Fe-As for the two tetragonal phases. This behavior provides the key structural information in understanding the origin of the pressure dependence of Tc for 111-type iron pnictide superconductors. A pressure-induced structural phase transition is also observed at 20 GPa.

cond-mat.supr-con↗