Polarization Ratio Research Articles

2D Perovskite Heterojunction-Based Self-Powered Polarized Photodetectors with Controllable Polarization Ratio Enabled by Ferro-Pyro-Phototronic Effect.

Metal halide perovskites (MHPs) are commonly used in polarization-sensitive photodetectors (PDs) for applications such as polarization imaging, remote sensing, and optical communication. Although various methods exist to adjust the polarization-sensitive photocurrent, a universal and effective approach for continuous control of MHPs' optoelectronic and polarized properties is lacking. A universal strategy to electrically modulate the polarization ratio (PR) of self-powered polarized PDs using the ferro-pyro-phototronic effect (FPPE) in 2D perovskites is presented. By varying the amplitude and direction of ferroelectric polarization voltage, the built-in electric field in the heterojunction can be modulated, allowing for controllable PR regulation and adjustable polarization characteristics. Moreover, the polarized pyroelectric photoresponses are realized, significantly enhancing the responsivity, response speed of the polarized PDs. Both the pyroelectric currents and photocurrents exhibit obvious polarization characteristics. This method's versatility is demonstrated by creating three additional quasi-2D MHP ferroelectric-based polarized-sensitive PDs. A proof-of-concept for encrypted optical communication is achieved using the UV-sensitive PDs as light-sensing units. These findings highlight FPPE's potential to enhance ferroelectric device polarization control, enabling high-performance and self-powered polarization photodetection.

Two-Dimensional Layered Germanium Iodide Perovskite Ferroelectric Semiconductors.

The discovery of ferroelectricity in two-dimensional (2D) semiconductors has opened a new and exciting chapter in next-generation electronics and spintronics due to their lattice-dimensionality-induced unique behaviors and fascinating functionalities brought by spontaneous polarization. The emerging layered halide perovskites with 2D lattices provide a great platform for generating reduced symmetry and low-dimensional ferroelectricity. Herein, inspired by the approach of reduced lattice dimensionality, a series of 2D layered germanium iodide perovskite ferroelectric semiconductors A2CsGe2I7 [where A = PA (propylammonium), BA (butylammonium) and AA (amylammonium)] was firstly developed, which demonstrates remarkable semiconducting features including narrow direct bandgap (~1.8 eV) and high conductivity over 32.23 nS/cm. Emphatically, these layered germanium iodide perovskites manifest large in-plane ferroelectric polarization over ~10.0 μC/cm2, mainly attributed to the large off-centering ion displacement induced by stereo-active lone-pairs of Ge2+ . More specifically, in contrast to three-dimensional ferroelectric CsGeI3, the representative 2D layered BA2CsGe2I7 manifests a superior polarization-sensitive bulk photovoltaic effect with a polarization ratio of 1.68 and high short circuit current density up to 81.25 μA/cm2, superior to those of reported layered halide perovskite ferroelectrics. This work provides an exciting pathway for the development of 2D ferroelectric semiconductorsand sheds light on their further applications in photoelectronic fields.

Classification and Monitoring of Salt Marsh Vegetation in the Yellow River Delta Based on Multi-Source Remote Sensing Data Fusion.

Salt marsh vegetation in the Yellow River Delta, including Phragmites australis (P. australis), Suaeda salsa (S. salsa), and Tamarix chinensis (T. chinensis), is essential for the stability of wetland ecosystems. In recent years, salt marsh vegetation has experienced severe degradation, which is primarily due to invasive species and human activities. Therefore, the accurate monitoring of the spatial distribution of these vegetation types is critical for the ecological protection and restoration of the Yellow River Delta. This study proposes a multi-source remote sensing data fusion method based on Sentinel-1 and Sentinel-2 imagery, integrating the temporal characteristics of optical and SAR (synthetic aperture radar) data for the classification mapping of salt marsh vegetation in the Yellow River Delta. Phenological and polarization features were extracted to capture vegetation characteristics. A random forest algorithm was then applied to evaluate the impact of different feature combinations on classification accuracy. Combining optical and SAR time-series data significantly enhanced classification accuracy, particularly in differentiating P. australis, S. salsa, and T. chinensis. The integration of phenological features, polarization ratio, and polarization difference achieved a classification accuracy of 93.51% with a Kappa coefficient of 0.917, outperforming the use of individual data sources.

ZrTe3/PdSe2 vis-NIR detectors with Schottky barrier enhanced photovoltaic performance

Infrared photodetectors (PDs), particularly the near-infrared (NIR) PDs, are essential for applications in remote sensing, night vision, imaging, and so on. ZrTe3, a semimetallic transition metal trichalcogenide with zero bandgap, strong anisotropy, and enhanced conductivity, is emerging as a promising material for NIR PDs, provided that the noise can be effectively suppressed. The solution lies in constructing an appropriate barrier. PdSe2, a typical two-dimensional material with a layer-dependent bandgap is an excellent choice. By constructing a VdW heterostructure with ZrTe3 and six-layer PdSe2, a Schottky barrier is introduced to block photogenerated holes in ZrTe3, resulting in a five-order-of-magnitude reduction in dark current and an enhanced photovoltaic response. The ZrTe3/PbSe2 PD exhibits a self-powered photovoltaic response from 405 nm to 1.55 μm with a peak responsivity of 1.16 × 106 V/W, a rise/fall time of 58/66 μs, a 3 dB frequency of 4.6 kHz, and a linear polarization ratio of 3.15 at 808 nm. The strategy of introducing a Schottky barrier to semimetal-based PDs addresses the issues of high noise and biased working conditions, paving the way for high-performance semimetallic PDs in the NIR range.

Hemilabile α‐Diimine Nickel Catalyzed Olefin Polymerization

Comprehensive SummaryFor coordination‐insertion olefin polymerization, the development of novel transition‐metal catalysts has drawn extensive attention in this field. In this contribution, we designed a series of hemilabile α‐diimine nickel catalysts bearing oxygen atom as neighboring group. The steric hindrance and oxygen atom number of these nickel complexes (Ni1—Ni4) could be adjusted, which influenced ethylene (co)polymerization processes. The introduction of oxygen atoms could enhance the thermal stability during ethylene polymerization for Ni2 compared to the counterpart without oxygen atoms. And for the copolymerization process of ethylene with polar monomers, higher catalytic activity (1.4 × 106 g·mol−1·h−1) and polar monomer incorporation ratio (1.2 mol%) were achieved. However, Ni4 with four oxygen atoms in this work was not active in ethylene polymerization due to the interaction between the oxygen atom and nickel catalytic center. The hemilabile effect in this work presented an example to enhance the stability of the α‐diimine nickel catalysts in olefin polymerization.

Synergistic combinations of Angelica sinensis for myocardial infarction treatment: network pharmacology and quadratic optimization approach

Background and aimAngelica sinensis (Oliv.) Diels (Danggui, DG), exhibits potential in myocardial infarction (MI) treatment. However, research on its synergistic combinations for cardioprotective effects has been limited owing to inadequate approaches.Experimental procedureWe identified certain phenolic acids and phthalein compounds in DG. Network pharmacology analysis and experimental validation revealed the components that protected H9c2 cells and reduced lactate dehydrogenase levels. Subsequently, a combination of computational experimental strategies and a secondary phenotypic optimization platform was employed to identify effective component combinations with synergistic interactions. The Chou-Talalay and Zero Interaction Potency (ZIP) models were utilized to quantify the synergistic relationships. The optimal combination identified, Z-Ligustide and Chlorogenic acid (Z-LIG/CGA), was evaluated for its protective effects on cardiac function and cardiomyocytes apoptosis induced by inflammatory in a mouse model of induced by left anterior descending coronary artery ligation. Flow cytometry was further utilized to detect the polarization ratio of M1/M2 macrophages and the expression of inflammatory cytokines in serum was measured, assessing the inhibition of inflammatory responses and pro-inflammatory signaling factors by Z-LIG/CGA.Key resultsQuadratic surface analysis revealed that the Z-LIG/CGA combination displayed synergistic cardioprotective effects (combination index value <1; ZIP value >10). In vivo, Z-LIG/CGA significantly improved cardiac function and reduced the fibrotic area in mice post-MI, surpassing the results in groups treated with Z-LIG or CGA alone. Compared to the MI group, the Z-LIG/CGA group exhibited decreased ratios of the myocardial cell apoptosis-related proteins BAX/Bcl-2 and Cleaved Caspase-3/Caspase-3 in mice. Further research revealed that Z-LIG/CGA treatment significantly increased IL-1R2 levels, significantly decreased IL-17RA levels, and inhibited the activation of p-STAT1, thereby alleviating cell apoptosis after MI. Additionally, the Z-LIG/CGA combination significantly inhibited the ratio of M1/M2 macrophages and suppressed the expression levels of pro-inflammatory cytokines IL-1β, IL-6, IL-17, and TNF-α in the serum.Conclusion and implicationsWe successfully identified a synergistic drug combination, Z-LIG/CGA, which improves MI outcomes by inhibiting cardiomyocyte apoptosis and inflammatory damage through modulating macrophage polarization and regulating the IL-1R2/IL-17RA/STAT1 signaling pathway. This study provides a charming paradigm to explore effective drug combinations in traditional Chinese medicine and a promising treatment for MI.

Identification of optimal Sentinel-1 SAR polarimetric parameters for forest monitoring in Czechia

Time series analysis of synthetic aperture radar data (SAR) offers a systematic, dynamic and comprehensive way to monitor forests. The main emphasis of this study is on the identification of the most suitable and best performing Sentinel-1 SAR polarimetric parameters for forest monitoring. This is accomplished through: 1) a pairwise correlation analysis of SAR polarimetric parameters, multispectral optical vegetation indices and ancillary data, 2) a univariate binary time series classification for differentiation between forest types and 3) a visual exploration of time series. For this purpose, 600 validated broad-leaved and 600 coniferous forest areas in Czechia were used. Nine different SAR polarimetric parameters were examined, including VH and VV polarizations, VV/VH and VH/VV polarization ratios, the Radar Vegetation Index, Radar Forest Degradation Index, polarimetric radar vegetation index and the original and modified versions of the dual polarimetric SAR vegetation index. The pairwise correlation analysis revealed that most of the derived SAR polarimetric parameters were functions of each other with nearly identical behavior (r > |0.96|). The strongest correlation of r ~0.50 between SAR and optical features was found for broad-leaved forest for VV/VH and VH/VV. The highest overall accuracy in the time series classification of forest types was achieved by VH (76%), while for VV, VV/VH and VH/VV it was higher than 60%. Furthermore, the time series analysis of these parameters showed seasonal behaviors of the SAR features in both forest types. These results demonstrated the high relevance of using VH, VV, VV/VH and VH/VV time series in forest monitoring compared to other SAR polarimetric parameters. This study also introduces a novel pipeline to generate multi-modal time series datasets in Google Earth Engine (MMTS-GEE), used to generate data for the analysis. MMTS-GEE combines spatially and temporally aligned SAR and multispectral data, extended with topographic and weather data, and a land cover class label. Its high versatility enables its use in time series analyses, intercomparisons and in machine learning applications for tabular time series data. The GEE code for the proposed tool and analysis is freely available to the research community.

Anti-Centromere Protein A Antibody Disrupts the Competence of Mouse Oocytes Matured In Vitro.

Anticentromere autoantibodies are associated with refractory IVF/ET failure, but causality is unclear. Experimental models are needed. Immature oocytes collected from 23-day-old mice were matured in vitro for 18h in a culture medium containing an anti-human centromere protein A (CENP-A) polyclonal antibody, and those oocytes' maturity and chromosome/spindle structure were assessed. Antibody exposure did not affect the germinal vesicle breakdown ratio but reduced the first polar body formation ratio by 13% at the highest concentration (70.0 µg/mL). Metaphase II (MII) oocytes were stained for chromosomes/spindles and grouped into aligned/barrel-like (AB), scattered/weakly-stained (SW), and condensed/absent (CA). Antibody exposure decreased AB and increased SW and CA in a dose-dependent manner. The AB/SW/CA percentages were 86/14/0, 86/14/0, 35/65/0, and 0/0/100 in the 0, 17.5, 35.0, and 70.0 µg/mL antibody groups, respectively (underlined values represent p < 0.05 compared with 0 µg/mL). Next, metaphase II oocytes were subjected to intracytoplasmic sperm injection, and the number of pronucleus/pronuclei (PN) was counted 6 h later. Antibody exposure decreased two pronuclei oocytes and increased non-two pronuclei oocytes dose-dependently. The percentages of 0/1/2/3 pronuclei oocytes were 43/0/57/0, 37/0/21/42, 16/28/48/8, and 91/4/4/0 in the 0, 17.5, 35.0, and 70.0µg/mL groups, respectively. Anti-CENP-A antibody impaired a linear alignment of chromosomes at metaphase II and enhanced one or three PN formation after ICSI, which are similar to findings reported for infertile women with anticentromere autoantibodies.

A nucleoside-based supramolecular hydrogel integrating localized self-delivery and immunomodulation for periodontitis treatment.

Periodontitis is a highly prevalent oral disease characterized by bacterial-induced hyperactivation of the host immune system, leading to a sustained inflammatory response and osteoclastic activity, which ultimately results in periodontal destruction. In this work, an immunomodulatory supramolecular hydrogel for the topical treatment of periodontitis was synthesized using a simple one-pot method. This phenylboronate ester-based 8AGPB hydrogel exhibited excellent stability, self-healing properties, injectability, and biocompatibility. During degradation, the 8AGPB hydrogel releases immunomodulatory agent 8-aminoguanosine (8AG), which regulates MAPK and NF-κB signaling pathways by modulation of second messengers in macrophages. In combination with 1,4-phenylenediboronic acid (PBA), which possesses antioxidant properties, 8AG effectively inhibits ROS production and oxidative damage in LPS-stimulated macrophages, lowering the M1/M2 macrophage polarization ratio and reducing the secretion of pro-inflammatory factors. In an experimental periodontitis model using C57BL/6 mice, periodontal injection of the 8AGPB hydrogel reduced inflammatory infiltration and osteoclastic activity through immunomodulation and inhibition of osteoclast differentiation, thereby ameliorating periodontal destruction during periodontitis progression. Overall, the 8AGPB supramolecular hydrogel, serving as an injectable self-delivery platform for 8AG, may represent a promising novel strategy for periodontitis treatment and offer insights for the development of future topical anti-inflammatory systems.

Anisotropic Coupling‐Based 2D Material Dember Polarized Photodetectors

AbstractPolarization photodetectors (PPDs) based on 2D materials hold great promise for ultracompact polarimeters due to their ability to directly detect polarization states. However, the existing PPDs based on 2D materials tend to focus on a single metric, making it challenging to obtain both a large polarization ratio (PR) and high responsivity (R). Here, black phosphorus (BP) PPDs are proposed under a nanowire configuration that enables large PR and high R simultaneously. Benefitting from the anisotropic coupling between the BP crystal and the nanowire geometry, specific light‐field distributions are formed under orthogonally polarized light incidences, through selectively exciting the localized surface plasmon and leaky‐mode resonances. A large carrier concentration gradient inherent to this structure is formed to induce a high response contrast and a large Dember current, enabling an ultrahigh PR ≈ 118.4, R ≈ 802.42 A W−1, and ultrashort response time ≈ 636 ps. Finally, a key‐free optical encryption communication system is constructed, demonstrating one of its promising applications.

Design and performance study of narrowband polarized colloidal quantum dots photodetector

Abstract Colloidal quantum dot-based (CQD) photodetectors have shown exceptional potential for low-cost, room-temperature broadband imaging. However, the isotropic optical properties of the CQD absorber hinder the capability for multi-dimensional photodetection, such as polarization. Here, we design and theoretically study a CQD photodetector with an encapsulation layer and metal grating layer, which can achieve narrowband polarization sensitivity with a full width at half maximum of 230 nm at a wavelength of 2 μm. We first investigate the effect of the geometric parameters of the architecture. Moreover, we examine the broadband polarized optical properties and analyze the corresponding mechanisms. A large linear polarization ratio of 66 is obtained at an illuminated light wavelength of 2 μm. These results contribute to offering a promising design for constructing narrowband polarized CQD photodetectors, particularly for quantum information processing in the realms of quantum communication and quantum cryptography.

Jing Si Herbal Tea Modulates Macrophage Polarization and Inflammatory Signaling in LPS-Induced Inflammation.

Background: Sepsis is a lethal disease due to uncontrolled inflammatory responses. Macrophages play an important role in sepsis-associated inflammation. Jing Si Herbal Tea (JSHT) is a plant-based regimen with anti-inflammatory properties designed to treat respiratory diseases; however, its underlying therapeutic mechanism remains unclear. This study aimed to investigate the effects of JSHT on macrophage polarization and inflammatory signaling in lipopolysaccharide (LPS)-induced inflammation to provide therapeutic approaches for inflammatory diseases. Methods: RAW264.7 cells were stimulated with LPS (1 µg/mL for 16 h) to induce inflammatory responses and treated by JSHT (0.0125% concentration for 4 h) in the experimental groups (Control, JSHT, LPS, Pre-JSHT, and Post-JSHT groups). We investigated the protein and cytokine expression levels using western blotting and enzyme-linked immunosorbent assay (ELISA). Macrophage morphology was observed using immunofluorescence staining. The polarization surface markers were detected by flow cytometry. Results: In the LPS group, the expressions of the inflammatory signaling (pERK, pJNK, and nuclear NFκB) and the pro-inflammatory cytokine levels (TNF-α, IL-1β, and IL-6) were significantly increased, with M1 polarization (CD68+/CD80+) compared to the Control group. In the Pre-JSHT and Post-JSHT groups, the expressions of the inflammatory signaling and the pro-inflammatory cytokine levels were significantly decreased, with a higher M2 polarization ratio (CD163+/CD206+) compared to the LPS group. RAW264.7 cells exhibited filopodia protruding from the cell surface in the LPS group, which were inhibited in the Pre-JSHT and Post-JSHT groups. Conclusions: LPS induced M1 polarization with elevated inflammatory signaling and cytokine levels, while JSHT not only decreased M1 polarization but also promoted M2 polarization with decreased inflammatory responses. We propose JSHT as a potential anti-inflammatory agent against LPS-induced inflammation.

Manipulating dwell time and spin polarization via δ-doping for electrons in spin-orbit-coupling modulated magnetic nanostructure

With the help of atomic-layer doping technology, we theoretically explore how to use a δ-potential to manipulate a temporal electron-spin splitter (TESS), which is based on a spin-orbit-coupling (SOC) modulated magnetic nanostructure. Due to the SOC, the dwell time still depends on electron spins even if a δ-doping is embedded inside the TESS. Moreover, both the magnitude and sign of spin polarization ratio can be controlled by tuning the weight or position of the δ-doping. Therefore, a structurally manipulable TESS device can be obtained for semiconductor spintronic device applications.

Ion Mobility-Mass Spectrometry Captures the Structural Consequences of Lipid Nanoparticle Encapsulation on Ribonucleic Acid Cargo.

Ribonucleic acids (RNAs) are becoming increasingly significant in our search for improved biotherapeutics. RNA-based treatments offer high specificity, targeted delivery, and potentially lower-cost options for various debilitating human diseases. Despite these benefits, there are still relatively few FDA-approved RNA-based therapies, with the notable exceptions being the mRNA (mRNA) COVID-19 vaccines, which are delivered using lipid nanoparticle (LNP) systems. LNPs are distinctive drug delivery systems (DDSs) because of their ability to target specific cells, their biocompatibility, and their efficiency in merging with cellular membranes to enhance treatment effectiveness. While the biophysical landscapes of RNA structures in solution are relatively well understood, the impact of the LNP environment on RNA remains less clear. This study uses native ion mobility-mass spectrometry (IM-MS) and collision-induced unfolding (CIU) techniques to investigate how LNP encapsulation affects RNA structure and stability. We examine how various factors, such as ionization polarity, cofactor binding, lipid types, and lipid ratios, influence LNP-released RNA cargo. Our findings reveal that LNP DDSs induce significant changes in the structures and stabilities of their RNA cargo. However, the extent of these changes strongly depends on the type and composition of the lipids used. We conclude by discussing how IM-MS and CIU can aid in the continued development of more efficient LNP DDSs and improve DDS selection methodologies overall.

Polarization‐Sensitive Momentum‐Matching Interlayer Excitons for Infrared Photodetection

Abstract2D materials hold potential for developing low‐cost, high‐performance broadband polarized infrared photodetectors. However, the development of 2D broadband polarized infrared photodetectors is largely constrained by the fixed bandgap spectral (cutoff wavelength) limitations of available semiconductors. Here, an approach is presented that leverages anisotropic interlayer excitons (IEXs) within a type‐II van der Waals heterojunction, achieving polarization photoresponse beyond the intrinsic bandgap spectral limits of its constituent semiconductors. By constructing heterojunctions using CrPS4 and ReS2, a unique type‐II band alignment, enabling strong anisotropic optical excitation is achieved through the interlayer sub‐bandgap, which is lower than the intrinsic bandgaps of both CrPS4 and ReS2. The heterojunction exhibits a responsivity of 0.3 A W−1 and a polarization ratio of 1.3 at an incident photon energy of 0.8 eV, comparable to naturally anisotropic materials with intrinsic bandgaps. Additionally, the potential of anisotropic IEXs is demonstrated for dual‐band polarization detection by introducing a ReS2/CrPS4/MoS2 heterojunctions with distinct inte rlayer sub‐bandgaps. This flexible design of IEXs offers a new platform for multi‐dimensional optical sensing and on‐chip optoelectronic applications.

2D Multifunctional Phototransistor Based on MoTe2/Graphene/SnS0.25Se0.75 Heterostructure with High Photogain and Reconfigurable Polarized Detection

Abstract2D van der Waals (vdWs) heterojunctions exhibit facile fabrication process and tunable optoelectronic properties. However, suppressing interfacial charge traps and multifunctional photoresponse remain significant challenges. Here, the study designs a 2D multifunctional phototransistor based on ambipolar MoTe2/graphene (Gr)/p‐type SnS0.25Se0.75 double vdWs vertical heterostructure via alloy engineering. The middle Gr interlayer is pivotal in reducing interfacial charge traps, facilitating vertical photocarrier transportation, and enhancing light absorption coefficient. Under photogating effect, the trapped electrons in SnS0.25Se0.75 promote the photogating effect, resulting in the maximum photogain of 8084 and specific detectivity (D*) of 8.2 × 1012 Jones. Under photoconductive effect, a high responsivity (R) of 36.9 A W−1 and D* of 7.17 × 1011 Jones are achieved. Under photovoltaic effect, the devices exhibit a remarkable R of 501 mA W−1, D* of 1.4 × 1011 Jones. Notably, a self‐driven photocurrent polarized ratio of 8 under 635 nm is achieved because of the anisotropic nature of SnS0.25Se0.75 and the effective double built‐in electric fields. By varying the gate voltage, the polarization ratio can be modulated from 1 to 2.5, enabling reconfigurable polarized‐sensitive detection. Above all, the designed heterojunction with multifunctional and reconfigurable polarization detection.

Magnetoplasmonic Triblock Nanorods for Collective Linear Dichroism.

Polarized light detection is crucial for advancements in optical imaging, positioning, and obstacle avoidance systems. While optical nanomaterials sensitive to polarization are well-established, the ability to align these materials remains a significant challenge. Here, we introduce Au-Fe3O4-Au triblock nanorods as a novel solution. Synthesized via a space-confined seeded growth method, these magnetoplasmonic nanocomposites uniquely combine the strong polarization capabilities of Au nanorods with the magnetic alignment properties of Fe3O4 nanorods. This architecture results in exceptional collective linear dichroism, achieving a polarization ratio of approximately 14 at the device level. Our nanorods exhibit high detection sensitivity and laser damage resistance, positioning them as a promising platform for developing advanced optical devices.

Homochiral Covalent Organic Frameworks with Superhelical Nanostructures Enable Efficient Chirality-Induced Spin Selectivity.

Despite significant advancements in fabricating covalent organic frameworks (COFs) with diverse morphologies, creating COFs with superhelical nanostructures remains challenging. We report here the controlled synthesis of homochiral superhelical COF nanofibers by manipulating pendent alkyl chain lengths in organic linkers. This approach yields homochiral 3D COFs 13-OR with a 10-fold interpenetrated diamondoid structure (R=H, Me, Et, nPr, nBu) from enantiopure 1,1'-bi-2-naphthol (BINOL)-based tetraaldehydes and tetraamine. COF-13-OEt exhibits macroscopic chirality as right-handed and left-handed superhelical fibers, whereas others adopt spherical or non-helical morphologies. Time-tracking shows a self-assembly process from non-helical strands to single-stranded helical fibers and intertwined superhelices. Ethoxyl substituents, being of optimal size, balance solvophobic effects and intermolecular interactions, driving the formation of superhelical nanostructures, with handedness determined by BINOL chirality. The superhelical nature of these materials is evident in their chiral recognition and spin-filter properties, showing significantly improved enantiodiscrimination in carbohydrate binding (up to six times higher enantioselectivity) and a remarkable chiral-induced spin selectivity (CISS) effect with a 48-51 % spin polarization ratio, a feature absent in non-helical analogs.

Homochiral Covalent Organic Frameworks with Superhelical Nanostructures Enable Efficient Chirality‐Induced Spin Selectivity

AbstractDespite significant advancements in fabricating covalent organic frameworks (COFs) with diverse morphologies, creating COFs with superhelical nanostructures remains challenging. We report here the controlled synthesis of homochiral superhelical COF nanofibers by manipulating pendent alkyl chain lengths in organic linkers. This approach yields homochiral 3D COFs 13‐OR with a 10‐fold interpenetrated diamondoid structure (R=H, Me, Et, nPr, nBu) from enantiopure 1,1′‐bi‐2‐naphthol (BINOL)‐based tetraaldehydes and tetraamine. COF‐13‐OEt exhibits macroscopic chirality as right‐handed and left‐handed superhelical fibers, whereas others adopt spherical or non‐helical morphologies. Time‐tracking shows a self‐assembly process from non‐helical strands to single‐stranded helical fibers and intertwined superhelices. Ethoxyl substituents, being of optimal size, balance solvophobic effects and intermolecular interactions, driving the formation of superhelical nanostructures, with handedness determined by BINOL chirality. The superhelical nature of these materials is evident in their chiral recognition and spin‐filter properties, showing significantly improved enantiodiscrimination in carbohydrate binding (up to six times higher enantioselectivity) and a remarkable chiral‐induced spin selectivity (CISS) effect with a 48–51 % spin polarization ratio, a feature absent in non‐helical analogs.

Polarization photodetectors with configurable polarity transition enabled by programmable ferroelectric-doping patterns

Advances in symmetry-breaking engineering of heterointerfaces for optoelectronic devices have garnered significant attention due to their immense potential in tunable moiré quantum geometry and enabling polarization light detection. Despite several proposed approaches to breaking the symmetry of low-dimensional materials, there remains a lack of universal methods to create materials with prominent polarization detection capabilities. Here, we introduce a reliable strategy for manipulating the symmetry of low-dimensional materials through a programmable ferroelectric-doping patterns technique. This method introduces a spontaneous photocurrent and enables the detection of linearly polarization light in isotropic 2H-MoTe2. The 2H-MoTe2 photodetector exhibits a significant short-circuit photocurrent intensity (Jsc = 29.9 A/cm2) and open-circuit voltage Voc of 0.12 V ( ~ 3 × 105 V/cm). Under a specific bias, the polarization ratio transitions from 1 to ∞/−∞, shifting from a positive state (unipolar regime) to a negative state (bipolar regime). These findings underscore the potential of ferroelectric-doping patterns as a promising approach to creating composite materials with artificial bulk photovoltaic effect and achieving high-performance polarization light detection.