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Aug 2023 • Journal of The Electrochemical Society

Understanding the Positive Effect of LATP in Polymer Electrolytes in All-Solid-State Lithium Batteries

Ortal Breuer, Gayathri peta, Yuval Elias, hadas Alon-Yehezkel, Miryam Fayena-Greenstein, Nae-Lih Wu, Mikhael Levi, Doron Aurbach

Composite solid electrolytes with ceramic particles dispersed in a polymer matrix are considered a correct choice for all-solid-state batteries. These electrolytes balance the high ionic conductivity of superionic-ceramic conductors and the elasticity of polymers. Here, Li||LiFePO4 batteries with 30 wt% of Li1.3Al0.3Ti1.7(PO4)3 (LATP) embedded in PEO20:LiTFSI show superior performance at elevated temperature. After ~150 cycles, cells retained 84% of their original capacity compared to only 51% for batteries with no additive. At 5C cells demonstrate 43% higher capacity. In symmetric cells with blocking and non-blocking electrodes and all-solid-state batteries LATP lowers the impedance of the electrode-electrolyte interface ensuring cycling stability. LATP improves performance by stabilization of the cathode-electrolyte interface, apparently the major contributor to the cell impedance.

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Aug 2023 • Angewandte Chemie International Edition

Polymeric Carbon nitride with chirality inherited from supramolecular assemblies

Adi Azoulay, Sapir Shekef Aloni, Lidan Xing, Ayelet Tashakory, Yitzhak Mastai, Menny Shalom

The facile synthesis of chiral materials is of paramount importance for various applications. Supramolecular preorganization of monomers for thermal polymerization has been proven as an effective tool to synthesize carbon and carbon nitride‐based (CN) materials with ordered morphology and controlled properties. However, the transfer of an intrinsic chemical property, such as chirality from supramolecular assemblies to the final material after thermal condensation, has never been shown. Here, we report the large‐scale synthesis of chiral CN materials capable of enantioselective recognition. To achieve this, we designed supramolecular assemblies with a chiral center that remains intact at elevated temperatures. The optimized chiral CN demonstrates an enantiomeric preference of ca. 14%; CN electrodes were also prepared and show stereoselective interactions with enantiomeric probes in electrochemical …

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Aug 2023 • ACS Catalysis

Ultra-pure nanoporous gold films for electrocatalysis

Hyunah Kwon, Hannah-Noa Barad, Alex Ricardo Silva Olaya, Mariana Alarcón-Correa, Kersten Hahn, Gunther Richter, Gunther Wittstock, Peer Fischer

Nanoporous gold (Au) films are self-supported structures that possess a large surface area and extraordinary catalytic activity. Generally, nanoporous gold is obtained by solution-based dealloying where the less noble metal, often silver (Ag), is etched out. However, the residual amounts of the sacrificial metal are not well controlled, the impure samples show restructuring, and the residual metal prevents the study of the catalytic role of Au alone. Here, we fabricate impurity-free nanoporous gold films by a plasma-enabled dry synthetic route. The scheme does not include sacrificial metals or solution processing and is much more general. It is used to obtain self-supported ultra-pure nanoporous gold films with controllable pore sizes. The impurity-free nanoporous gold films possess highly curved ligaments, are remarkably robust, and stable over hundreds of electrochemical cycles. Furthermore, they contain many …

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Aug 2023 • Electronic Structure

Multistate multiscale docking study of the hydrolysis of toxic nerve agents by phosphotriesterase

Prashant Kumar Gupta, Naziha Tarannam, Shani Zev, Dan Thomas Major

The G-and V-type nerve agents are among the most toxic compounds known, where inhalation of a few mg could cause potential death. Over the years wild-type phosphotriesterase (PTE) has gained much attention due to its capability of detoxifying these deadly compounds. The underlying mechanism proceeds via a hydroxyl attack on the P or C centers of the organophosphate nerve agents followed by the departure of the leaving group. Two Zn 2+ cations present in the active site center of PTE indirectly assist the hydrolysis. Apart from the wild-type PTE, several designer enzyme variants reportedly catalyze the hydrolysis process much more efficiently. Herein, we studied the hydrolysis of eight toxic compounds with one of the enzyme variants (PTE_27) that show higher efficiency than the wild type as reported in a recent article. We docked both the high energy intermediate state and substrate for all the eight …

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Aug 2023 • Advanced Materials

High‐entropy Co‐free O3‐type layered oxyfluoride: a promising air‐stable cathode for sodium‐ion batteries

Akanksha Joshi, Sankalpita Chakraborty, Sri Harsha Akella, Arka Saha, Ayan Mukherjee, Bruria Schmerling, Michal Ejgenberg, Rosy Sharma, Malachi Noked

Na‐ion batteries have recently emerged as a promising alternative to Li‐based batteries, driven by an ever‐growing demand for electricity storage systems. In the present work, we propose a cobalt‐free high‐capacity cathode for Na‐ion batteries, synthesized using a high‐entropy approach. The high‐entropy approach entails mixing more than five elements in a single phase; hence, obtaining the desired properties is a challenge since this involves the interplay between different elements. Here, instead of oxide, oxyfluoride is chosen to suppress oxygen loss during long‐term cycling. Supplement to this, Li was introduced in the composition to obtain high configurational entropy and Na vacant sites, thus stabilizing the crystal structure, accelerating the kinetics of intercalation/deintercalation, and improving the air stability of the material. With the optimization of the cathode composition, a reversible capacity of 109 …

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Aug 2023 • 3rd International Conference on Aerogels for Biomedical and Environmental Applications

Plasmonic Based Sensor for Quantification of Chemical Pollutants in Water and its Improvement by Machine Learning

MOHAMED HAMODE, MARIA SHEHADEH, OMER KASPI, BRURIA RUBIN, DAVID ZITOUN, ADI SALOMON

Chemical pollutants in drinking water can have many sources, such as pharmaceutical waste, agricultural runoff, and industrial discharges1, 2, 3. The development of a reliable, sensitive, and handheld sensor for the detection of a mixture of contaminants is important, both for human health and the environment. Herein, we show the development of a plasmonic sensor for Surface-enhanced Raman spectroscopy (SERS) and colorimetry measurements. Two types of plasmonic surfaces which enhance the electromagnetic field are presented here;(i) Well-defined cavities milled in silver substrates which are covered with 5 nm of SiO2 for stability.(ii) A scalable metallic-like aerogel network with large surface area, for increasing the sensitivity of our measurements. Three different families of analytes were studied, which can be found in drinking water: Piperidine and its derivatives (Pharmaceutical waste), Dioxins & Polychlorinated biphenyls, Per-and polyfluoroalkyl substances, each of which is toxic, both to the environment and humans health, even at a low concentration of 30 mg/Kg (3* 10-4M). Those

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Aug 2023 • Journal of Energy Chemistry, 2023

Molybdenum disulfide as hydrogen evolution catalyst: From atomistic to materials structure and electrocatalytic performance

Mohsin Muhyuddin, Giorgio Tseberlidis, Maurizio Acciarri, Oran Lori, Massimiliano D'Arienzo, Massimiliano Cavallini, Plamen Atanassov, Lior Elbaz, Alessandro Lavacchi, Carlo Santoro

Hydrogen production via water electrolysis defines the novel energy vector for achieving a sustainable society. However, the true progress of the given technology is hindered by the sluggish and complex hydrogen evolution reaction (HER) occurring at the cathodic side of the system where overpriced and scarce Pt-based electrocatalysts are usually employed. Therefore, efficient platinum group metals (PGMs)-free electrocatalysts to carry out HER with accelerated kinetics are urgently demanded. In this scenario, molybdenum disulfide (MoS2) owing to efficacious structural attributes and optimum hydrogen-binding free energy (ΔGH*) is emerging as a reliable alternative to PGMs. However, the performance of MoS2-based electrocatalysts is still far away from the benchmark performance. The HER activity of MoS2 can be improved by engineering the structural parameters i.e., doping, defects inducement, modulating …

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Aug 2023 • Journal of Biological Engineering

Optimizing the fabrication of a 3D high-resolution implant for neural stimulation

Gal Shpun, Nairouz Farah, Yoav Chemla, Amos Markus, Tamar Azrad Leibovitch, Erel Lasnoy, Doron Gerber, Zeev Zalevsky, Yossi Mandel

BackgroundTissue-integrated micro-electronic devices for neural stimulation hold great potential in restoring the functionality of degenerated organs, specifically, retinal prostheses, which are aimed at vision restoration. The fabrication process of 3D polymer-metal devices with high resolution and a high aspect-ratio (AR) is very complex and faces many challenges that impair its functionality.ApproachHere we describe the optimization of the fabrication process of a bio-functionalized 3D high-resolution 1mm circular subretinal implant composed of SU-8 polymer integrated with dense gold microelectrodes (23μm pitch) passivated with 3D micro-well-like structures (20μm diameter, 3μm resolution). The main challenges were overcome by step-by-step planning and optimization while utilizing a two-step bi-layer lift-off process; bio-functionalization was carried out by N2 plasma treatment and the addition of a bio …

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Aug 2023 • 2023 IEEE 18th Conference on Industrial Electronics and Applications (ICIEA …, 2023

CPU and Memory Allocation Optimization using Fuzzy Logic Based Clustering

Eran Gur, Zeev Zalevsky

The allocation of CPU time and memory resources, are well known problems in organizations with a large number of users, and a single mainframe. Usually, the amount of resources given to a single user is based on its own statistics, not on the entire statistics of the organization therefore patterns are not well identified and the allocation system is prodigal. In this work the authors suggest a fuzzy logic-based algorithm to optimize the CPU and memory distribution between the users based on the history of the users. The algorithm works separately on heavy users and light users since they have different patterns to be observed. The result is a set of rules, generated by the fuzzy logic inference engine that will allow the system to use its computing ability in an optimized manner. Test results on data taken from the Faculty of Engineering in Tel Aviv University, demonstrate the abilities of the new algorithm. This paper also …

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Aug 2023 • Imaging Systems and Applications, IM3E. 1, 2023

Remote Biophotonics High Frequency Acoustic Vibrations Monitoring using Rolling Shutter and Speckle Analysis

Matan Benyamin, Nisan Ozana, Zeev Zalevsky

In this paper, we present a remote optical method for sound detection using rolling shutter (RS) and speckle analysis. Findings show the ability to remotely monitor the high frequency using low framerate camera.

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Aug 2023 • Neurotrauma Reports

Inducing Mechanical Stimuli to Tissues Grown on a Magnetic Gel Allows Deconvoluting the Forces Leading to Traumatic Brain Injury

Luise Schlotterose, Megane Beldjilali-Labro, Mario Hagel, Moran Yadid, Carina Flaxer, Eli Flaxer, A Ronny Barnea, Kirsten Hattermann, Esther Shohami, Yael Leichtmann-Bardoogo, Ben M Maoz

Traumatic brain injury (TBI), which is characterized by damage to the brain resulting from a sudden traumatic event, is a major cause of death and disability worldwide. It has short- and long-term effects, including neuroinflammation, cognitive deficits, and depression. TBI consists of multiple steps that may sometimes have opposing effects or mechanisms, making it challenging to investigate and translate new knowledge into effective therapies. In order to better understand and address the underlying mechanisms of TBI, we have developed an in vitro platform that allows dynamic simulation of TBI conditions by applying external magnetic forces to induce acceleration and deceleration injury, which is often observed in human TBI. Endothelial and neuron-like cells were successfully grown on magnetic gels and applied to the platform. Both cell types showed an instant response to the TBI model, but the endothelial cells …

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Aug 2023 • arXiv preprint arXiv:2308.06237

The reshape of three-body interactions: Observation of the survival of an Efimov state in the atom-dimer continuum

Yaakov Yudkin, Roy Elbaz, José P D'Incao, Paul S Julienne, Lev Khaykovich

Efimov states are exotic and counterintuitive three-body quantum states that emerge in the vicinity of two-atom Feshbach resonances. These states exhibit remarkable characteristics as their large spatial extent and extremely weak binding energies following an infinite geometric series, and exist even when interactions are not strong enough to bind two atoms. Efimov states are universal and produce observable effects at critical values of the interaction strength across the two-body resonance when approaching their threshold for dissociation into the different types of three-body continua. In particular, as the strength of the interaction is decreased, an Efimov state merges into the atom-dimer threshold and eventually dissociates into an unbound atom-dimer pair. Here we explore this critical point using refined coherent few-body spectroscopy in Li atoms near a narrow two-body Feshbach resonance. Contrary to the expectation set by universality, we find that the Li Efimov trimer does not immediately dissociate when passing the threshold, and survives as a metastable state embedded in the atom-dimer continuum. We identify this behavior with a novel phenomena related to the emergence of a repulsive interaction in the atom-dimer channel which reshapes the three-body interactions in systems characterized by narrow Feshbach resonances. Our results shed new light on the nature of Li Efimov states and provide a new path to understand various puzzling phenomena observed here, as well as in other previous experimental studies.

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Aug 2023 • arXiv preprint arXiv:2308.01005

Velocity map imaging with no spherical aberrations

Yehuda Ben-Shabo, Adeliya Kurbanov, Claus Dieter Schroter, Robert Moshammer, Holger Kreckel, Yoni Toker

Velocity map imaging (VMI) is a powerful technique that allows to infer the kinetic energy of ions or electrons that are produced from a large volume in space with good resolution. The size of the acceptance volume is determined by the spherical aberrations of the ion optical system. Here we present an analytical derivation for velocity map imaging with no spherical aberrations. We will discuss a particular example for the implementation of the technique that allows using the reaction microscope recently installed in the Cryogenic storage ring (CSR) in a VMI mode. SIMION simulations confirm that a beam of electrons produced almost over the entire volume of the source region, with width of 8 cm, can be focused to a spot of 0.1 mm on the detector. The use of the same formalism for position imaging, as well as an option of position imaging in one axis and velocity map imaging in a different axis, are also discussed.

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Aug 2023 • Neuro-Oncology Advances

SYST-24 PROPOFOL EXERTS ANTI-TUMOR EFFECTS IN GLIOMA AND THE TUMOR MICROENVIRONMENT VIA NON-CODING RNAS AND SECRETED EXOSOMES

Donald Penning, Simona Cazacu, Raphael Nizar, Cunli Xiang, Hodaya Goldstein, Matan Krasner, Efrat Barbiro-Michaely, Doron Gerber, Gila Kazimirsky, Lisa Rogers, Stephan Brown, Chaya Brodie

BACKGROUND Glioblastoma (GBM), is the most common primary brain tumor. GBM contains a small subpopulation of glioma stem cells (GSCs) that are implicated in tumor recurrence and treatment resistance and therefore represent important therapeutic targets. Recent clinical studies suggest propofol impacts subsequent tumor response to treatments and patient prognosis. The effects of propofol on patient derived GSCs alone and in combination with radiation and temozolomide, (TMZ) have not been reported. Objectives: The molecular mechanisms underlying propofol’s anti-tumor effects on GSCs and its effect on cellular communication with microglia was studied. Using GSC spheroids, differentiated glioma and tumor cells on a microfluid chip, effects of propofol alone and together with radiation and TMZ on the self-renewal and stemness of GSCs, their mesenchymal transit and the …

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Aug 2023 • Preprints, 2023

Surface Modification of Carbon Fibers

Indra Neel Pulidindi, Aharon Gedanken

The purpose of the review is to provide new insight into the potential of surface modification of carbon fibers for enhancing the application of the carbon fibers many a fold. To this end a total of 429 papers on the subject of surface modication of carbon fibers by a variety of chemical and electrochemical methods published during the period from 2010-2022 have been reviewed. Astounding results of surface funcationalization of carbon fibers by a variety of state of the art methods resulting in the unconventional applications of the resulting modified carbon fibers are summarized in a nut-shell in schemes from 1-6 towards the end of the review. Surface modifica-tion induces functionality to carbon fibers (CFs). The vitality of CF surface modification reac-tions could only be compared to the life process of respiration that sustains the multi functional-ity of living cells. Applicability of CFs can be drastically enhanced in incomprehensible ways by surface modification. Upon surface modification, inert and non-reactive CF surface becomes chemically active and functional with utility in diverse fields, namely, health, energy, environ-ment, defense, catalysis, smart materials and many others. Surface modification methods can be broadly classified into chemical, electrochemical and physical methods. By these surface modi-fication methods, the inert FC surface becomes polar. Surface properties like roughness, wetta-bility and energy are enhanced. Modification processes like sizing, oxidation, amination, si-lanization, polymerization, nanoarchitecture induces multifunctionality on CF surface. Modi-fied CFs when used as reinforcing material in carbon fiber …

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Aug 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, Br 3−/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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Aug 2023 • Computational Optical Sensing and Imaging, JM1B. 4, 2023

Plasma Dispersion Induced Self-Focusing of a Vortex Laser Beam in Silicon

Nadav Shabairou, Zeev Zalevsky, Moshe Sinvani

In this work, we demonstrate the focusing of a Gaussian laser beam, in silicon, by a vortex-shaped beam where both beams are at a wavelength of 775nm, which can sharpen the beam's PSF to improve the resolution in laser scanning microscopy.

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Jul 2023 • Progress in Materials Science, 101166, 2023

Doped MXenes—A new paradigm in 2D systems: Synthesis, properties and applications

Avishek Dey, Silvia Varagnolo, Nicholas P Power, Naresh Vangapally, Yuval Elias, Lois Damptey, Bright N Jaato, Saianand Gopalan, Zahra Golrokhi, Prashant Sonar, Vimalnath Selvaraj, Doron Aurbach, Satheesh Krishnamurthy

Since 2011, 2D transition metal carbides, carbonitrides and nitrides known as MXenes have gained huge attention due to their attractive chemical and electronic properties. The diverse functionalities of MXenes make them a promising candidate for multitude of applications. Recently, doping MXene with metallic and non-metallic elements has emerged as an exciting new approach to endow new properties to this 2D systems, opening a new paradigm of theoretical and experimental studies. In this review, we present a comprehensive overview on the recent progress in this emerging field of doped MXenes. We compare the different doping strategies; techniques used for their characterization and discuss the enhanced properties. The distinct advantages of doping in applications such as electrocatalysis, energy storage, photovoltaics, electronics, photonics, environmental remediation, sensors, and biomedical …

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Jul 2023 • arXiv preprint arXiv:2307.11512

Quantitative scattering theory of near-field response for 1D polaritonic structures

Lorenzo Orsini, Iacopo Torre, Hanan Herzig-Sheinfux, Frank HL Koppens

Scattering-type scanning near-field optical microscopy is a powerful imaging technique for studying materials beyond the diffraction limit. However, interpreting near-field measurements poses challenges in mapping the response of polaritonic structures to meaningful physical properties. To address this, we propose a theory based on the transfer matrix method to simulate the near-field response of 1D polaritonic structures. Our approach provides a computationally efficient and accurate analytical theory, relating the near-field response to well-defined physical properties. This work enhances the understanding of near-field images and complex polaritonic phenomena. Finally, this scattering theory can extend to other systems like atoms or nanoparticles near a waveguide.

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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 • 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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