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2023 • Advanced Materials Interfaces

Scanning SQUID Imaging of Reduced Superconductivity Due to the Effect of Chiral Molecule Islands Adsorbed on Nb

Meital Ozeri, TR Devidas, Hen Alpern, Eylon Persky, Anders V Bjorlig, Nir Sukenik, Shira Yochelis, Angelo Di Bernardo, Beena Kalisky, Oded Millo, Yossi Paltiel

Unconventional superconductivity was realized in systems comprising a monolayer of magnetic adatoms adsorbed on conventional superconductors, forming Shiba‐bands. Another approach to induce unconventional superconductivity and 2D Shiba‐bands was recently introduced, namely, by adsorbing chiral molecules (ChMs) on conventional superconductors, which act in a similar way to magnetic impurities as verified by conductance spectroscopy. However, the fundamental effect ChMs have on the strength of superconductivity has not yet been directly observed and mapped. In this work, local magnetic susceptometry is applied on heterostructures comprising islands of ChMs (α‐helix L‐polyalanine) monolayers adsorbed on Nb. It is found that the ChMs alter the superconducting landscape, resulting in spatially‐modulated weaker superconductivity. Surprisingly, the reduced diamagnetic response is located …

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2023 • bioRxiv

Utilizing flow cytometry sorting signal width to enrich for cells positive to endogenous gene integration of fluorescent proteins

Gabriel P Faber, Hagit Hauschner, Mohammad K Atrash, Liat Bilinsky, Yaron Shav-Tal

Endogenous gene knock-in using CRIPSR is becoming the standard for fluorescent tagging of endogenous proteins. Some protocols, particularly those that utilize insert cassettes that carry a fluorescent protein tag, can yield many types of cells with off-target insertions that have diffuse fluorescent signal throughout the whole cell in addition to scarce cells with on-target gene insertions that show the correct sub-cellular localization of the tagged protein. As such, when searching for cells with on-target integration using flow cytometry, the off-target fluorescent cells yield a high percentage of false positives. Here, we show that by changing the gating used to select for fluorescence during flow cytometry sorting, namely utilizing the width of the signal as opposed to the area, we can highly enrich for positively integrated cells. Reproducible gates were created to select for even minuscule percentages of correct subcellular signal, and these parameters were validated by fluorescence microscopy. This method is a powerful tool to rapidly enhance the generation of cell-lines with correctly integrated gene knock-ins encoding endogenous fluorescent proteins.

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2023 • bioRxiv

Changes in ADAR1 activity during Plasmodium infection contribute to protection from malaria

Jaclyn E Quin, Eli Kopel, Riem Gawish, Michelle Eidelman, Dragana Vukić, Pavla Linhartová, Janka Melicherová, Ketty Sinigaglia, Sajjad Ghodrati, Charles Arama, Issa Nebie, Marita Troye-Blomberg, Eva Sverremark-Ekström, Sylvia Knapp, David Modry, Ann-Kristin Östlund Farrants, Erez Levanon, Liam P Keegan, Mary A O'Connell

Adenosine deaminase acting on RNA 1 (ADAR1) suppresses the activation of multiple antiviral immune response pathways. Here, we investigate the role of ADAR1 during infection with the Plasmodium parasite, which causes malaria and is responsible for over almost a half million childhood deaths every year. Reduced activity of ADAR1 during Plasmodium infection is associated with populations protected from clinical malaria. In animal models, Adar+/- mice are protected from P. yoelii parasitemia, via a previously unreported pathway. These mice display elevated Type-I IFN responses and CD8+ T cell activation, but no detrimental immune responses. Our results suggest that a decrease in the levels of ADAR1 occurs during infection and can drive both innate and adaptive immune responses, and this presents a previously unrecognized opportunity for targeting ADAR1 in diverse infectious diseases.

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2023 • Energy & Environmental Science

A practical perspective on the potential of rechargeable Mg batteries

J Alberto Blázquez, Rudi R Maça, Olatz Leonet, Eneko Azaceta, Ayan Mukherjee, Zhirong Zhao-Karger, Zhenyou Li, Aleksey Kovalevsky, Ana Fernández-Barquín, Aroa R Mainar, Piotr Jankowski, Laurin Rademacher, Sunita Dey, Siân E Dutton, Clare P Grey, Janina Drews, Joachim Häcker, Timo Danner, Arnulf Latz, Dane Sotta, M Rosa Palacin, Jean-Frédéric Martin, Juan Maria García Lastra, Maximilian Fichtner, Sumana Kundu, Alexander Kraytsberg, Yair Ein-Eli, Malachi Noked, Doron Aurbach

Emerging energy storage systems based on abundant and cost-effective materials are key to overcome the global energy and climate crisis of the 21st century. Rechargeable Magnesium Batteries (RMB), based on Earth-abundant magnesium, can provide a cheap and environmentally responsible alternative to the benchmark Li-ion technology, especially for large energy storage applications. Currently, RMB technology is the subject of intense research efforts at laboratory scale. However, these emerging approaches must be placed in a real-world perspective to ensure that they satisfy key technological requirements. In an attempt to bridge the gap between laboratory advancements and industrial development demands, herein, we report the first non-aqueous multilayer RMB pouch cell prototypes and propose a roadmap for a new advanced RMB chemistry. Through this work, we aim to show the great unrealized …

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2023 • Proc. of SPIE Vol

pH sensing, bioimaging, and Fluorescence lifetime imaging microscopy using polyethyleneimine coated carbon dots and gold nanoparticles

Shweta Pawar, Hamootal Duadi, Dror Fixler

The unique fluorescent nanomaterials known as carbon dots (CDs) are highly resistant to photobleaching, have low toxicity, and are well soluble in water. Polyethyleneimine (PEI) coated CDs are a novel fluorophore with good biocompatibility and pH sensing ability. Here, p-phenylenediamine (p-PD) is used as a carbon source and hyperbranched PEI is used as a surface passivation agent in a simple, one-step hydrothermal synthesis process. The CDs optical characteristics are pH-responsive due to the presence of different amine groups on PEI, which is functional polycationic polymer. The limits of techniques based on fluorescence intensity can be overcome by fluorescent lifetime imaging microscopy (FLIM), a very sensitive method for detecting a microenvironment. In this study, FLIM was used to measure pH with pH-sensitive CDs. These molecules are nontoxic to the cells, and the positively charged CDs have …

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2023 • Nanoscale

rsc. li/nanoscale

Jessica S Freitag, Christin Möser, Robel Belay, Basma Altattan, Nico Grasse, Bhanu Kiran Pothineni, Jörg Schnauß, David M Smith, Vijay Bhooshan Kumar, Aharon Gedanken, Ze’ev Porat

Nanoscale Page 1 Nanoscale rsc.li/nanoscale The Royal Society of Chemistry is the world's leading chemistry community. Through our high impact journals and publications we connect the world with the chemical sciences and invest the profits back into the chemistry community. IN THIS ISSUE ISSN 2040-3372 CODEN NANOHL 15(17) 7595–8030 (2023) Cover See Munho Kim, Guo-En Chang et al., pp. 7745–7754. Image reproduced by permission of Guo-En Chang from Nanoscale, 2023, 15, 7745. Inside cover See Palyam Subramanyam, Vasudevanpillai Biju et al., pp. 7695–7702. Image reproduced by permission of Vasudevanpillai Biju from Nanoscale, 2023, 15, 7695. REVIEWS 7608 Integration of functional peptides into nucleic acid-based nanostructures Jessica S. Freitag, Christin Möser, Robel Belay, Basma Altattan, Nico Grasse, Bhanu Kiran Pothineni, Jörg Schnauß and David M. Smith* 7625 …

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2023 • Sustainable Energy & Fuels

A bifunctional electrocatalyst for alkaline seawater splitting using ruthenium doped nickel molybdenum phosphide nanosheets

Hari Krishna Sadhanala, Akanksha Gupta, Aharon Gedanken

Because of the abundance and availability of natural sea water resources, electrolysis of sea water is regarded as a most appealing and promising approach for the generation of hydrogen green energy, and even it lowers the cost of hydrogen production. However, for seawater electrolysis, highly efficient and robust electrocatalysts that can withstand chloride corrosion on electrodes, particularly the anode, are required. Here, we present the synthesis of nickel molybdenum phosphide engineered with ruthenium supported on nickel foam (Ru22NiMoP2/NF) by hydrothermal technique and followed reactions under autogenic pressure at elevated temperatures (RAPET) in Swagelok, which demonstrated excellent electrocatalytic activity in alkaline sea water. For hydrogen evolution reaction (HER), Ru22NiMoP2/NF requires low overpotentials of 60 and 52 mV to achieve a current density of 10 mAcm-2 than commercial …

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2023 • Nanoscale, 2023

Sonochemistry of molten metals

Vijay Bhooshan Kumar, Aharon Gedanken, I Porat Ze'ev

Ultrasonic irradiation of molten metals in liquid media causes dispersion of the metals into suspensions of micro- and nanoparticles that can be separated. This is applicable mainly to low-mp elemental metals or alloys, but higher mp elemental metals or alloys were also reported. Among metals, mercury and gallium exhibit especially-low melting points and are thus considered as liquid metals (LMs). Sonication of mercury in aqueous solutions of certain metal ions can cause simultaneous reduction of the ions and reactions between the metals. Gallium can be melted and sonicated in warm water, as well as in aqueous solutions of various solutes such as metal ions and organic compounds, which opened a wide window of interactions between the gallium particles and the solutes. Sonication of molten metals in organic liquids, such as polyethylene glycol (PEG) 400, forms carbon dots (C-dots) doped with …

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2023 • Soft Matter

Shape transitions in a network model of active elastic shells

Ajoy Maji, Kinjal Dasbiswas, Yitzhak Rabin

Morphogenesis involves the transformation of initially simple shapes, such as multicellular spheroids, into more complex 3D shapes. These shape changes are governed by mechanical forces including molecular motor-generated forces as well as hydrostatic fluid pressure, both of which are actively regulated in living matter through mechano-chemical feedback. Inspired by autonomous, biophysical shape change, such as occurring in the model organism hydra, we introduce a minimal, active, elastic model featuring a network of springs in a globe-like spherical shell geometry. In this model there is coupling between activity and the shape of the shell: if the local curvature of a filament represented by a spring falls below a critical value, its elastic constant is actively changed. This results in deformation of the springs that changes the shape of the shell. By combining excitation of springs and pressure regulation, we …

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2023 • Frontiers in Oncology

A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment

Eli Varon, Gaddi Blumrosen, Orit Shefi

Cancer remains a leading cause of death globally (1). The conventional methods of treatment offered are radiation (2), chemotherapy (3), immunotherapy (4), surgery, and recently nanotechnology (nanomedicine and nano-processes)(5). Every cancer treatment can be defined and evaluated based on its efficiency, selectivity, side effects, and economic cost (6). However, combining predictive models and advanced machine learning methods with these cancer therapies may enhance their overall efficiency and selectivity, as well as the safety of the patient.Radiation Therapy (RT), also known as radiotherapy, is a non-surgical intervention frequently used in cancer treatment (2). This method is based on a high-level focused dose of radiation directed toward the tumor. This deposit of highenergy radiation kills cancer cells or decelerates their growth by damaging their DNA (2). Nevertheless, the challenges of RT include damage to tumor-proximate normal cells, the inability to radiate minor tumors out of scope of the imaging scans, patient movement, and low oxygen supply (7, 8). Therefore, many researchers are working on the development of targeted radiation methods to deliver a higher dose of radiation to the tumor with improved selectivity. Recently, the combination of nanotechnology with laser radiation has been demonstrated to represent a safe set of modalities for tumor destruction with high specificity (9). In particular, this involves the use of light-controlled nanoparticles (NPs) that can be activated via a light of a specific wavelength to form highly efficient and selective systems in the nanometer range (10). These NPs accumulate specifically …

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2023 • Nanoscale, 2023

Sonochemistry of Molten Metals

Vijay Bhooshan Kumar, Aharon Gedanken, I Porat Ze'ev

Ultrasonic irradiation of molten metals in liquid media causes dispersion of the metals into suspensions of micro- and nano- particles that can be separated. This is applicable mainly to low-mp elemental metals or alloys, but higher mp were also reported. Among the metals, mercury and gallium exhibit especially-low melting points thus considered as liquid metals (LM). Sonication of mercury in aqueous solutons of certain metal-ions can cause simultaneous reduction of the ions and reactions between the metals. Gallium can be melted and sonicated in warm water, as-well-as in aqueous solutions of various solutes such as metal ions and organic compounds, which opened a wide window of interactions between the gallium particles and the solutes. Sonication of molten metals in organic liquids, such as polyethylene glycole (PEG) 400, forms carbon dots (C-dots) doped with nanoparticles of these metals. This …

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2023

Projective measurements can probe non-classical work extraction and time-correlations

Santiago Hernández-Gómez, Stefano Gherardini, Alessio Belenchia, Matteo Lostaglio, Amikam Levy, Nicole Fabbri

We demonstrate an experimental technique to characterize genuinely nonclassical multi-time correlations using projective measurements with no ancillae. We implement the scheme in a nitrogen-vacancy center in diamond undergoing a unitary quantum work protocol. We reconstruct quantum-mechanical time correlations encoded in the Margenau-Hills quasiprobabilities. We observe work extraction peaks five times those of sequential projective energy measurement schemes and in violation of newly-derived stochastic bounds. We interpret the phenomenon via anomalous energy exchanges due to the underlying negativity of the quasiprobability distribution.

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2023 • Bioengineering & Translational Medicine

Micelle encapsulation zinc‐doped copper oxide nanocomposites reverse Olaparib resistance in ovarian cancer by disrupting homologous recombination repair

Jingyan Yi, Xin Luo, Jinshan Xing, Aharon Gedanken, Xiukun Lin, Chunxiang Zhang, Gan Qiao

Micelle Encapsulation Zinc‐doped copper oxide nanocomposites (MEnZn‐CuO NPs) is a novel doped metal nanomaterial prepared by our group based on Zinc doped copper oxide nanocomposites (Zn‐CuO NPs) using non‐micellar beam. Compared with Zn‐CuO NPs, MEnZn‐CuO NPs have uniform nanoproperties and high stability. In this study, we explored the anticancer effects of MEnZn‐CuO NPs on human ovarian cancer cells. In addition to affecting cell proliferation, migration, apoptosis and autophagy, MEnZn‐CuO NPs have a greater potential for clinical application by inducing HR repair defects in ovarian cancer cells in combination with poly (ADP‐ribose) polymerase inhibitors for lethal effects.

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2023 • Journal of Materials Chemistry B

Controlled synthesis of multifunctional dome-shaped micro-and nano-structures via a robust physical route for biological applications

Ganit Indech, Lidor Geri, Chen Mordechai, Yarden Ben Moshe, Yitzhak Mastai, Orit Shefi, Amos Sharoni

Micro- and nano-particles are elemental for many current and developing technologies. Specifically, these particles are being used extensively in biological studies and applications, which include imaging, drug delivery and therapeutics. Recent advances have led to the development of multifunctional particles, which have the potential to further enhance their effectiveness, enabling novel applications. Therefore, many efforts have been devoted to producing well-defined particles for specific needs. However, the conventional fabrication methodologies used to develop particles are time consuming, making it extremely challenging to fine-tune the properties of the particles for multifunctional applications. Herein, we present a simple and facile method to fabricate dome-shaped micron- and nano-sized particles via a robust physical route. The presented method enables particles to be designed using a vast range of …

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2023 • Batteries & Supercaps

Biopolymer‐Assisted Synthesis of P‐Doped TiO2 Nanoparticles for High‐Performance Li‐ion Batteries: A Comprehensive Study

Nabil El Halya, Mohamed Aqil, Karim El Ouardi, Amreen Bano, Ayoub El bendali, Loubna Hdidou, Rachid Amine, Seoung-Bum Son, Fouad Ghamouss, Dan Thomas Major, Khalil Amine, Jones Alami, Mouad Dahbi

TiO2 material has gained significant attention for large‐scale energy storage due to its abundant, low‐cost, and environmentally friendly properties, as well as the availability of various nanostructures. Phosphorus doping has been established as an effective technique for improving electronic conductivity and managing the slow ionic diffusion kinetics of TiO2. In this study, non‐doped and phosphorus doped TiO2 materials were synthesized using sodium alginate biopolymer as chelating agent. The prepared materials were evaluated as anode materials for Lithium‐Ion Batteries (LIBs). The electrodes exhibit remarkable electrochemical performance, including a high reversible capacity of 235 mAh g‐1 at 0.1C and excellent first coulombic efficiency of 99%. An integrated approach, combining Operando XRD and Ex‐situ XAS, comprehensively investigates the relationship between phosphorus doping, material …

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2023 • FRONTIERS IN ONCOLOGY 12, 2023

A predictive model for personalization of nanotechnology-based phototherapy in cancer treatment

Eli Varon, Gaddi Blumrosen, Orit Shefi

Cancer remains a leading cause of death globally (1). The conventional methods of treatment offered are radiation (2), chemotherapy (3), immunotherapy (4), surgery, and recently nanotechnology (nanomedicine and nano-processes)(5). Every cancer treatment can be defined and evaluated based on its efficiency, selectivity, side effects, and economic cost (6). However, combining predictive models and advanced machine learning methods with these cancer therapies may enhance their overall efficiency and selectivity, as well as the safety of the patient.Radiation Therapy (RT), also known as radiotherapy, is a non-surgical intervention frequently used in cancer treatment (2). This method is based on a high-level focused dose of radiation directed toward the tumor. This deposit of highenergy radiation kills cancer cells or decelerates their growth by damaging their DNA (2). Nevertheless, the challenges of RT include damage to tumor-proximate normal cells, the inability to radiate minor tumors out of scope of the imaging scans, patient movement, and low oxygen supply (7, 8). Therefore, many researchers are working on the development of targeted radiation methods to deliver a higher dose of radiation to the tumor with improved selectivity. Recently, the combination of nanotechnology with laser radiation has been demonstrated to represent a safe set of modalities for tumor destruction with high specificity (9). In particular, this involves the use of light-controlled nanoparticles (NPs) that can be activated via a light of a specific wavelength to form highly efficient and selective systems in the nanometer range (10). These NPs accumulate specifically …

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2023 • Advanced Materials Technologies

3D Printable Hydrogel with Tunable Degradability and Mechanical Properties as a Tissue Scaffold for Pelvic Organ Prolapse Treatment

Yuxiang Zhu, Tina Kwok, Joel C Haug, Shenghan Guo, Xiangfan Chen, Weiheng Xu, Dharneedar Ravichandran, Yourka D Tchoukalova, Jeffrey L Cornella, Johnny Yi, Orit Shefi, Brent L Vernon, David G Lott, Jessica N Lancaster, Kenan Song

Pelvic organ prolapse (POP) is a dysfunction that affects a large proportion of women. Current support scaffolds’ lack of biocompatibility, biodegradability, and mechanical compliance are associated with surgical complications including erosion and pain, indicating the urgent need for new tissue scaffolds with customizable functions. A new material that uses polyvinyl alcohol (PVA) as the main ingredient and is chemically tuned to possess suitable mechanical properties and degradation rates for the surgical treatment of POP is developed. Specifically, the thiol‐norbornene “click” chemistry enables the sol‐gel transition of the biomaterial under UV‐light without side‐products. Meanwhile, NaOH treatment further toughens the hydrogel with a higher crosslink density. The PVA‐based biocompatible ink can be printed with UV‐facilitated direct ink writing due to the rapidly UV‐initiated chemical crosslink; in situ image …

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2023 • Advanced Materials Technologies

Biolistic Delivery of Photosensitizer‐Loaded Porous Si Carriers for Localized Photodynamic Therapy

Elina Haimov‐Talmoud, Michal Rosenberg, Sofia Arshavsky‐Graham, Eli Varon, Orit Shefi, Ester Segal

Among numerous approaches for treating cancer, clinically approved photodynamic therapy (PDT) is considered a promising non‐invasive therapeutic strategy for solid tumors. While PDT has distinct advantages over conventional cancer treatments, systemic exposure to the photosensitizer and its stability are some of the limitations of clinical PDT. Herein, a therapeutic strategy for highly localized focal PDT is introduced based on direct biolistic delivery of photosensitizer‐loaded carriers to cancerous tumors. Degradable porous silicon microparticles (PSiMPs) are used as efficient carriers for the photosensitizer, meso‐tetrahydroxy‐phenylchlorin (mTHPC), and its conjugates with gold nanoparticles (AuNP‐mTHPC conjugates). The loaded PSiMP carriers are successfully bombarded using a pneumatic gene gun to breast cancer cells in vitro and into tumor xenografts in vivo, and subsequent uptake of the released …

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2023 • Journal of Materials Chemistry B

Controlled synthesis of multifunctional dome-shaped micro-and nano-structures via a robust physical route for biological applications

Ganit Indech, Lidor Geri, Chen Mordechai, Yarden Ben Moshe, Yitzhak Mastai, Orit Shefi, Amos Sharoni

Micro- and Nano-particles are elemental for many current and developing technologies. Specifically, these particles are being extensively used in biological studies and applications, including imaging, drug delivery and therapeutics. Recent advances have led to the development of multifunctional particles, which have the potential to further enhance their effectiveness, enabling novel applications. Therefore, many efforts are devoted to produce well-defined particles for specific needs. However, conventional fabrication methodologies utilized to develop particles are time consuming, making it extremely challenging to fine-tune properties of the particles for multifunctional applications. Herein, we present a simple and facile method to fabricate dome-shaped micron and nano particles by a robust physical route. The presented method enables to design particles with a vast range of materials, sizes and compositions …

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2023 • GigaScience

simAIRR: simulation of adaptive immune repertoires with realistic receptor sequence sharing for benchmarking of immune state prediction methods

Chakravarthi Kanduri, Lonneke Scheffer, Milena Pavlović, Knut Dagestad Rand, Maria Chernigovskaya, Oz Pirvandy, Gur Yaari, Victor Greiff, Geir K Sandve

Background Machine learning (ML) has gained significant attention for classifying immune states in adaptive immune receptor repertoires (AIRRs) to support the advancement of immunodiagnostics and therapeutics. Simulated data are crucial for the rigorous benchmarking of AIRR-ML methods. Existing approaches to generating synthetic benchmarking datasets result in the generation of naive repertoires missing the key feature of many shared receptor sequences (selected for common antigens) found in antigen-experienced repertoires. Results We demonstrate that a common approach to generating simulated AIRR benchmark datasets can introduce biases, which may be exploited for undesired shortcut learning by certain ML methods. To mitigate undesirable access to true signals in simulated AIRR datasets, we devised a simulation strategy (simAIRR) that constructs …

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2023 • Physical Chemistry Chemical Physics

Second harmonic generation from aluminum plasmonic nanocavities: from scanning to imaging

Tchiya Zar, Alon Krause, Omer Shavit, Hannah Aharon, Racheli Ron, Martin Oheim, Adi Salomon

Metamaterials and plasmonic structures made from aluminum (Al) have attracted significant interest due to their low cost, long-term stability, and the relative abundance of aluminum compared to the rare metals. Also, aluminum displays distinct dielectric properties allowing for the excitation of surface plasmons in the ultraviolet region with minimal non-radiative losses. Despite these clear advantages, most of the research has been focused on either gold or silver, probably due to difficulties in forming smooth thin films of aluminum. In the present work, we detect and characterize second harmonic generation (SHG) in the optical regime, emanating from triangular hole arrays milled into thin aluminum films in reflection mode, at normal incidence. We report intense nonlinear responses, year-long stability, and overall superior performances with respect to gold. The robustness of the Al structures and high reproducibility …

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