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Jul 2023 • Laser & Photonics Reviews

Deep-Subwavelength Resonant Meta-Optics Enabled by Ultra-High Index Topological Insulators

Singh, D., Nandi, S., Fleger, Y., Cohen, S. Z., Lewi, T.

In nanophotonics, small mode volumes, high‐quality factor resonances, and large field enhancements without metals fundamentally scale with the refractive index and are key for many implementations involving light‐matter interactions. Topological insulators (TIs) are a class of insulating materials that host topologically protected surface states, some of which exhibit extraordinarily high permittivity values. Here, the optical properties of TI bismuth telluride (Bi2Te3) single crystals are studied. It is found that both the bulk and surface states contribute to the extremely large optical constants, with the real part of the refractive index peaking at n ≈ 11. Utilizing these ultra‐high index values, it is demonstrated that Bi2Te3 metasurfaces are capable of squeezing light in deep‐subwavelength structures, with the fundamental magnetic dipole (MD) resonance confined in unit cell sizes smaller than λ/10. It is further shown that …

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Jul 2023 • Membranes

Permselectivity and Ionic Conductivity Study of Na+ and Br− Ions in Graphene Oxide-Based Membranes for Redox Flow Batteries

Raphael Flack, Anna Aixalà-Perelló, Alessandro Pedico, Kobby Saadi, Andrea Lamberti, David Zitoun

Permselectivity of a membrane is central for the development of electrochemical energy storage devices with two redox couples, such as redox flow batteries (RFBs). In RFBs, Br3−/Br− couple is often used as a catholyte which can cross over to the anolyte, limiting the battery’s lifetime. Naturally, the development of permselective membranes is essential to the success of RFBs since state-of-the-art perfluorosulfonic acid (PFSA) is too costly. This study investigates membranes of graphene oxide (GO), polyvinylpyrrolidone (PVP), and imidazole (Im) as binder and linker, respectively. The GO membranes are compared to a standard PFSA membrane in terms of ionic conductivity (Na+) and permselectivity (exclusion of Br−). The ionic conduction is evaluated from electrochemical impedance spectroscopy and the permselectivity from two-compartment diffusion cells in a four-electrode system. Our findings suggest that the GO membranes reach conductivity and permselectivity comparable with standard PFSA membranes.

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Jul 2023 • Nanomaterials

Probing Polarity and pH Sensitivity of Carbon Dots in Escherichia coli through Time-Resolved Fluorescence Analyses

Gilad Yahav, Shweta Pawar, Anat Lipovsky, Akanksha Gupta, Aharon Gedanken, Hamootal Duadi, Dror Fixler

Intracellular monitoring of pH and polarity is crucial for understanding cellular processes and functions. This study employed pH- and polarity-sensitive nanomaterials such as carbon dots (CDs) for the intracellular sensing of pH, polarity, and viscosity using integrated time-resolved fluorescence anisotropy (FA) imaging (TR-FAIM) and fluorescence lifetime (FLT) imaging microscopy (FLIM), thereby enabling comprehensive characterization. The functional groups on the surface of CDs exhibit sensitivity to changes in the microenvironment, leading to variations in fluorescence intensity (FI) and FLT according to pH and polarity. The FLT of CDs in aqueous solution changed gradually from 6.38 ± 0.05 ns to 8.03 ± 0.21 ns within a pH range of 2–8. Interestingly, a complex relationship of FI and FLT was observed during measurements of CDs with decreasing polarity. However, the FA and rotational correlation time (θ) increased from 0.062 ± 0.019 to 0.112 ± 0.023 and from 0.49 ± 0.03 ns to 2.01 ± 0.27 ns, respectively. This increase in FA and θ was attributed to the higher viscosity accompanying the decrease in polarity. Furthermore, CDs were found to bind to three locations in Escherichia coli: the cell wall, inner membrane, and cytoplasm, enabling intracellular characterization using FI and FA decay imaging. FLT provided insights into cytoplasmic pH (7.67 ± 0.48), which agreed with previous works, as well as the decrease in polarity in the cell wall and inner membrane. The CD aggregation was suspected in certain areas based on FA, and the θ provided information on cytoplasmic heterogeneity due to the aggregation and/or interactions with …

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Jul 2023 • Colloids and Surfaces B: Biointerfaces

A green formulation for superhydrophobic coatings based on Pickering emulsion templating for anti-biofilm applications

Raz Cohen, Karthik Ananth Mani, Madina Pirmatova, Gila Jacobi, Einat Zelinger, Eduard Belausov, Elazar Fallik, Ehud Banin, Guy Mechrez

This study reports significant steps toward developing anti-biofilm surfaces based on superhydrophobic properties that meet the complex demands of today's food and medical regulations. It presents inverse Pickering emulsions of water in dimethyl carbonate (DMC) stabilized by hydrophobic silica (R202) as a possible food-grade coating formulation and describes its significant passive anti-biofilm properties. The final coatings are formed by applying the emulsions on the target surface, followed by evaporation to form a rough layer. Analysis shows that the final coatings exhibited a Contact Angle (CA) of up to 155° and a Roll-off Angle (RA) lower than 1° on the polypropylene (PP) surface, along with a relatively high light transition. Dissolving polycaprolactone (PCL) into the continuous phase enhanced the average CA and coating uniformity but hindered the anti-biofilm activity and light transmission. Scanning …

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Jul 2023 • Solid state nuclear magnetic resonance 126, 101885, 2023

Remembering Shimon Vega: Special issue on solid-state and DNP NMR

G Goobes, PK Madhu, A Goldbourt

This special issue is dedicated to the memory of Shimon Vega (1943–2021) with contributions from former students, postdocs, and other close colleagues. Shimon had seminal contributions in magnetic resonance, including in the areas of nuclear quadrupole resonance (NQR), solid-state NMR, and dynamic nuclear polarization (DNP). While dedicating a major effort to the development of NMR theory, he always made direct connections to experiments and relevant applications and was a gifted educator and teacher. The content of this special issue is a manifestation of these various facets in his personality.Matysik highlights, in his paper, the educational spirit of Shimon by describing the “Vega diagrams”; block representations of Hamiltonians and density matrices with pathways directing the reader to the relevant physics. On the theoretical side, the work of Sajith et al. extracts effective Hamiltonians and key …

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Jul 2023 • Talanta Open 8, 100243, 2023

Fluorescent quantum dots-based hydrogels: Synthesis, Fabrication and multimodal biosensing

Sayan Ganguly, Shlomo Margel

Hydrogels have a significant impact on the fields of biological study and medical diagnosis. They are becoming more useful in bioanalytical and biosensing applications. The intriguing new nanomaterials quantum dots-hydrogel composites have gained a lot of interest because of their unmatched biocompatibility and tolerable biodegradability, which opens up a wide range of possible applications. Focusing on synthesis techniques, this review describes current developments in quantum dots-hydrogel composites, such as hydrogel gelation in quantum dots (QDs) solution, inserting prepared QDs into hydrogels after gelation, generating QDs in situ inside the preformed gel, and cross-linking through QDs. Biomedical applications such as bioimaging and biosensing are specifically examined, and then the inherent problems of design optimisation, biocompatibility, and bimodal applications, as well as the potential of …

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Jul 2023 • Electrochimica Acta

Advanced impedance analysis of direct quinone fuel cells using distribution of relaxation times

Yan Yurko, Lior Elbaz

The need for new, reliable, and sustainable energy sources led to the development of new types of fuel cells. Fuel cells that rely on liquid hydrogen carriers may be the ultimate solution to the expensive hydrogen logistics issues. In this category, direct quinone fuel cells (DQFCs) are a promising new technology that solves many of the issues of traditional fuel cells. As a new technology, DQFCs need to be studied thoroughly to reach their full potential. Here, we use a distribution of relaxation times (DRT) analysis to analyze the impedance data of DQFCs, to gain a better understanding of the system. We systematically changed the operating parameters and attributed the changes in the DRT spectra to the physical processes they correspond to. The four main peaks observed in the DRT measurements were assigned to oxygen reduction reaction (ORR), quinone diffusion resistance, proton diffusion in the membrane …

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Jul 2023

High-resolution computed tomography with scattered X-ray radiation and a single pixel detector

Sharon Shwartz, Adi Ban Yehuda, Or Sefi, Yishay Klein, Rachel Shukrun, Hila Schwartz, Eliahu Cohen

X-ray imaging is a prevalent technique for non-invasively visualizing the interior of the human body and opaque instruments. In most commercial X-ray modalities, an image is formed by measuring the X-rays that pass through the object of interest. However, despite the potential of scattered radiation to provide additional information about the object, it is often disregarded due to its inherent tendency to cause blurring. Consequently, conventional imaging modalities do not measure or utilize these valuable data. In contrast, we propose and experimentally demonstrate a high-resolution technique for X-ray computed tomography (CT) that measures scattered radiation by exploiting computational ghost imaging (CGI). We show that our method can provide sub-200 µm resolution, exceeding the capabilities of most existing X-ray imaging modalities. Our research reveals a promising technique for incorporating scattered radiation data in CT scans to improve image resolution and minimize radiation exposure for patients. The findings of our study suggest that our technique could represent a significant advancement in the fields of medical and industrial imaging, with the potential to enhance the accuracy and safety of diagnostic imaging procedures.

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Jul 2023 • Fuel

Design of three-dimensional hexagonal petal-like nickel-copper cobaltite//luffa sponge-derived activated carbon electrode materials for high-performance solid-state supercapattery

Sengodan Prabhu, Moorthy Maruthapandi, Arulappan Durairaj, S Arun Kumar, John HT Luong, Rajendran Ramesh, Aharon Gedanken

Three-dimensional porous nanostructured materials are considered superior materials for energy storage applications due to their high storage capability. A nickel copper-cobalt oxide (NCC) composite with a uniform 3-D porous nanostructure (positive electrode materials) and luffa sponge-derived activated carbon (LPAC) with honeycomb-like structure (negative electrode materials) were synthesized by a simple hydrothermal and chemical method. A sample of the nickel-copper cobalt oxide-5 (NCC-5) nanocomposite reached a high specific capacitance of 1048 F/g at the current density of 0.5 A/g. The NCC-5 nanocomposite sample shows a retention capacity of 93 % after 10,000 charge and discharge cycles with 95 % of Coulombic efficiency (CE). The LPAC illustrates a remarkable specific capacitance of 909 F/g at 1 A/g of current density, compared to the best literature value of 400 F/g. The full-cell NCC-5//LPAC …

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Jul 2023 • Quantum Information Processing

Multipartite entanglement detection via correlation minor norm

Rain Lenny, Amit Te’eni, Bar Y Peled, Avishy Carmi, Eliahu Cohen

Entanglement is a uniquely quantum resource giving rise to many quantum technologies. It is therefore important to detect and characterize entangled states, but this is known to be a challenging task, especially for multipartite mixed states. The correlation minor norm (CMN) was recently suggested as a bi-partite entanglement detector employing bounds on the quantum correlation matrix. In this paper, we explore generalizations of the CMN to multipartite systems based on matricizations of the correlation tensor. It is shown that the CMN is able to detect and differentiate classes of multipartite entangled states. We further analyze the correlations within the reduced density matrices and show their significance for entanglement detection. Finally, we employ matricizations of the correlation tensor for introducing a measure of global quantum discord.

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Jul 2023 • Results in Physics

Insecurity of a relativistic quantum commitment scheme

Guang Ping He

We propose a cheating strategy to a relativistic quantum commitment scheme (Nadeem, 2014) which was claimed to be unconditionally secure. It is shown that the sender Alice can cheat successfully with probability 100%, thus disproving the security claim.

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Jul 2023 • ACS Applied Nano Materials

Metal Nanoparticle/Photosystem I Protein Hybrids Coupled to Microantenna Afford Biologically and Electronically Controlled Localized Surface Plasmon Resonance: Implications for …

Itai Carmeli, Ibrahim Tanriover, Tirupathi Malavath, Chanoch Carmeli, Moshik Cohen, Yossi Abulafia, Olga Girshevitz, Shachar Richter, Koray Aydin, Zeev Zalevsky

Localized surface plasmon resonance (LSPR) holds great promise for the next generation of fast nanoscale optoelectronic devices, as silicon-based electronic devices approach fundamental speed and scaling limitations. However, in order to fully exploit the potential of plasmonics, devices and material systems capable of actively controlling and manipulating plasmonic response are essential. Here, we demonstrate active control of the electric field distribution of a microantenna by coupling LSPRs to a photosynthetic protein with outstanding optoelectronic properties and a long-range and efficient exciton transfer ability. The hybrid biosolid state active platform is able to tune and modulate the optical activity of a microplasmonic antenna via the interaction of the bioactive material with plasmon oscillations occurring in the antennae. In addition, we demonstrate that the effect of the coupling can be further enhanced …

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Jul 2023 • The Journal of Chemical Physics

Temperature-dependence of the chirality-induced spin selectivity effect—Experiments and theory

Seif Alwan, Subhajit Sarkar, Amos Sharoni, Yonatan Dubi

The temperature-dependence of the chirality-induced spin selectivity (CISS) effect can be used to discriminate between different theoretical proposals for the mechanism of the CISS effect. Here, we briefly review key experimental results and discuss the effect of temperature in different models for the CISS effect. We then focus on the recently suggested spinterface mechanism and describe the different possible effects temperature can have within this model. Finally, we analyze in detail recent experimental results presented in the work of Qian et al.[Nature 606, 902–908 (2022)] and demonstrate that, contrary to the original interpretation by the authors, these data actually indicate that the CISS effect increases with decreasing temperature. Finally, we show how the spinterface model can accurately reproduce these experimental results.

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Jul 2023 • Nanomaterials

Probing Polarity and pH Sensitivity of Carbon Dots in Escherichia coli through Time-Resolved Fluorescence Analyses

Gilad Yahav, Shweta Pawar, Anat Lipovsky, Akanksha Gupta, Aharon Gedanken, Hamootal Duadi, Dror Fixler

Intracellular monitoring of pH and polarity is crucial for understanding cellular processes and functions. This study employed pH- and polarity-sensitive nanomaterials such as carbon dots (CDs) for the intracellular sensing of pH, polarity, and viscosity using integrated time-resolved fluorescence anisotropy (FA) imaging (TR-FAIM) and fluorescence lifetime (FLT) imaging microscopy (FLIM), thereby enabling comprehensive characterization. The functional groups on the surface of CDs exhibit sensitivity to changes in the microenvironment, leading to variations in fluorescence intensity (FI) and FLT according to pH and polarity. The FLT of CDs in aqueous solution changed gradually from 6.38 ± 0.05 ns to 8.03 ± 0.21 ns within a pH range of 2–8. Interestingly, a complex relationship of FI and FLT was observed during measurements of CDs with decreasing polarity. However, the FA and rotational correlation time (θ) increased from 0.062 ± 0.019 to 0.112 ± 0.023 and from 0.49 ± 0.03 ns to 2.01 ± 0.27 ns, respectively. This increase in FA and θ was attributed to the higher viscosity accompanying the decrease in polarity. Furthermore, CDs were found to bind to three locations in Escherichia coli: the cell wall, inner membrane, and cytoplasm, enabling intracellular characterization using FI and FA decay imaging. FLT provided insights into cytoplasmic pH (7.67 ± 0.48), which agreed with previous works, as well as the decrease in polarity in the cell wall and inner membrane. The CD aggregation was suspected in certain areas based on FA, and the θ provided information on cytoplasmic heterogeneity due to the aggregation and/or interactions with …

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Jul 2023 • Optics Express

Split-well resonant-phonon terahertz quantum cascade laser

Shiran Levy, Nathalie Lander Gower, Silvia Piperno, Sadhvikas J Addamane, John L Reno, Asaf Albo

We present a highly diagonal “split-well resonant-phonon” (SWRP) active region design for GaAs/Al_0.3Ga_0.7As terahertz quantum cascade lasers (THz-QCLs). Negative differential resistance is observed at room temperature, which indicates the suppression of thermally activated leakage channels. The overlap between the doped region and the active level states is reduced relative to that of the split-well direct-phonon (SWDP) design. The energy gap between the lower laser level (LLL) and the injector is kept at 36 meV, enabling a fast depopulation of the LLL. Within this work, we investigated the temperature performance and potential of this structure.

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Jul 2023 • Nonlinear Optics, Th2A. 3, 2023

Nonlinear x-ray optical wave-mixing in silicon

C Ornelas-Skarin, T Bezriadina, M Fuchs, S Ghimire, JB Hastings, NN Hua, L Leroy, Q Nguyen, G de la Peña, D Popova-Gorelova, S Shwartz, M Trigo, T Sato, D Zhu, DA Reis

We present recent measurements of nonlinear x-ray optical mixing in silicon. These measurements demonstrate how x-ray optical mixing can measure details of the atomic-scale nonlinear electron dynamics that are invisible to purely optical techniques.

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Jul 2023 • 2023 Photonics & Electromagnetics Research Symposium (PIERS), 1275-1284, 2023

2D Mono Detection Spatially Super-resolved Microwave Imaging for Radar Applications

Isahar Gabay, Zeev Zalevsky

In this paper we present an advanced 2D novel microwave photonic approach to super resolved Radar imaging. Unlike synthetic aperture Radars (SAR) that require movement to improve resolution by synthetically increasing the antennas dimensions, our super resolved imaging solution not only does not require movement to synthetically increase the antennas dimensions but it also allows this super resolved sensing with only a single (mono) detector. The operation principle is based upon phased array antennas which consist of four radiating horn antennas which generate a projected plane at the far field zone. Setting an appropriate phase to each one of the antennas inputs, causes scanning of projected structured electromagnetic beam over the imaged object. Summing each azimuth cut of the reflections, received from the object at different frequencies can spatially reconstruct high resolution image of the …

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Jul 2023 • Applied Physics Letters

Flexible planar Hall effect sensor with sub-200 pT resolution

Hariharan Nhalil, Daniel Lahav, Moty Schultz, Shai Amrusi, Asaf Grosz, Lior Klein

Flexible sensors are important for applications, such as wearable medical devices, soft robotics, and more, as they can easily conform to soft and irregularly shaped surfaces. This study presents elliptical planar Hall effect magnetic sensors fabricated on a polyamide tape with an equivalent magnetic noise (EMN) better than 200 pT/ffiffiffiffiffiffi Hz p. The sensor is characterized in flat and bent states with a bent radius of 10 mm. An EMN of 200 and 400 pT/ffiffiffiffiffiffi Hz p in flat and bent states, respectively, is achieved at a frequency of 100 Hz. The remarkable EMN combined with a simple, low-cost fabrication process makes these sensors a promising candidate for flexible electronics.

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Jul 2023 • Scientific Reports

Randomness assisted in-line holography with deep learning

Manisha, Aditya Chandra Mandal, Mohit Rathor, Zeev Zalevsky, Rakesh Kumar Singh

We propose and demonstrate a holographic imaging scheme exploiting random illuminations for recording hologram and then applying numerical reconstruction and twin image removal. We use an in-line holographic geometry to record the hologram in terms of the second-order correlation and apply the numerical approach to reconstruct the recorded hologram. This strategy helps to reconstruct high-quality quantitative images in comparison to the conventional holography where the hologram is recorded in the intensity rather than the second-order intensity correlation. The twin image issue of the in-line holographic scheme is resolved by an unsupervised deep learning based method using an auto-encoder scheme. Proposed learning technique leverages the main characteristic of autoencoders to perform blind single-shot hologram reconstruction, and this does not require a dataset of samples with available …

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Jul 2023 • Cold Spring Harbor Protocols

Measurement of Drosophila Reproductive Behaviors

Anne C von Philipsborn, Galit Shohat-Ophir, Carolina Rezaval

Courtship behaviors in Drosophila melanogaster are innate and contain highly stereotyped but also experience-and state-dependent elements. They have been the subject of intense study for more than 100 years. The power of Drosophila as a genetic experimental system has allowed the dissection of reproductive behaviors at a molecular, cellular, and physiological level. As a result, we know a great deal about how flies perceive sensory cues from potential mates, how this information is integrated in higher brain centers to execute reproductive decisions, and how state and social contexts modulate these responses. The simplicity of the assay has allowed for its broad application. Here, we introduce methods for studying male and female innate reproductive behaviors as well as their plastic responses.

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Jul 2023 • Talanta Open, 100243, 2023

Fluorescent quantum dots-based hydrogels: Synthesis, Fabrication and multimodal biosensing

Sayan Ganguly, Shlomo Margel

Hydrogels have a significant impact on the fields of biological study and medical diagnosis. They are becoming more useful in bioanalytical and biosensing applications. The intriguing new nanomaterials quantum dots-hydrogel composites have gained a lot of interest because of their unmatched biocompatibility and tolerable biodegradability, which opens up a wide range of possible applications. Focusing on synthesis techniques, this review describes current developments in quantum dots-hydrogel composites, such as hydrogel gelation in quantum dots (QDs) solution, inserting prepared QDs into hydrogels after gelation, generating QDs in situ inside the preformed gel, and cross-linking through QDs. Biomedical applications such as bioimaging and biosensing are specifically examined, and then the inherent problems of design optimisation, biocompatibility, and bimodal applications, as well as the potential of …

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