Tracking the time evolution of soft matter systems via topological structural heterogeneity

Persistent homology is an effective topological data analysis tool to quantify the structural and morphological features of soft materials, but so far it has not been used to characterise the dynamical behaviour of complex soft matter systems. Here, we introduce structural heterogeneity, a topological characteristic for semi-ordered materials that captures their degree of organisation at a mesoscopic level and tracks their time-evolution, ultimately detecting the order-disorder transition at the microscopic scale. We show that structural heterogeneity tracks structural changes in a liquid crystal nanocomposite, reveals the effect of confined geometry on the nematic-isotropic and isotropic-nematic phase transitions, and uncovers physical differences between these two processes. The system used in this work is representative of a class of composite nanomaterials, partially ordered and with complex structural and physical behaviour, where their precise characterisation poses significant challenges. Our developed analytic framework can provide both a qualitative and quantitative characterisation of the dynamical behaviour of a wide range of semi-ordered soft matter systems.

Observation of a flat band and bandgap in millimeter-scale twisted bilayer graphene

Magic-angle twisted bilayer graphene, consisting of two graphene layers stacked at a special angle, exhibits superconductivity due to the maximized density of states at the energy of the flat band. Generally, experiments on twisted bilayer graphene have been performed using micrometer-scale samples. Here we report the fabrication of twisted bilayer graphene with an area exceeding 3 × 5 mm2 by transferring epitaxial graphene onto another epitaxial graphene, and observation of a flat band and large bandgap using angle-resolved photoemission spectroscopy. Our results suggest that the substrate potential induces both the asymmetrical doping in large angle twisted bilayer graphene and the electron doped nature of the flat band in magic-angle twisted bilayer graphene.

Creation of stable water-free antibody based protein liquids

Antibodies represent highly specific and high binding affinity biomolecular recognition elements for diagnostic assays, biosensors, and therapeutics, but are sensitive to denaturation and degradation. Consequently, the combination of existing in a hydrated state with a large and complex biomolecular structure results in loss of antibody-antigen binding, limited shelf-life, and decreased sensor response over time and under non-optimal conditions. The development and use of water-free protein liquids has led to stabilization of labile biomolecules, solvents for biotransformation reactions, and formation of new bio-composites with incompatible materials. Here, we exploit the polycationic nature of modified antibodies and their ability to form ion pairs for the conversion of primary Immunoglobulin G antibodies into stable protein liquids that retained more than 60% binding activity after repeated heating up to 125 °C, and demonstrate compatibility with thermoplastics.

In-plane magnetic field-driven symmetry breaking in topological insulator-based three-terminal junctions

Topological surface states of three-dimensional topological insulator nanoribbons and their distinct magnetoconductance properties are promising for topoelectronic applications and topological quantum computation. A crucial building block for nanoribbon-based circuits are three-terminal junctions. While the transport of topological surface states on a planar boundary is not directly affected by an in-plane magnetic field, the orbital effect cannot be neglected when the surface states are confined to the boundary of a nanoribbon geometry. Here, we report on the magnetotransport properties of such three-terminal junctions. We observe a dependence of the current on the in-plane magnetic field, with a distinct steering pattern of the surface state current towards a preferred output terminal for different magnetic field orientations. We demonstrate that this steering effect originates from the orbital effect, trapping the phase-coherent surface states in the different legs of the junction on opposite sides of the nanoribbon and breaking the left-right symmetry of the transmission across the junction. The reported magnetotransport properties demonstrate that an in-plane magnetic field is not only relevant but also very useful for the characterization and manipulation of transport in three-dimensional topological insulator nanoribbon-based junctions and circuits, acting as a topoelectric current switch.

Predicting synthesizability of crystalline materials via deep learning

Predicting the synthesizability of hypothetical crystals is challenging because of the wide range of parameters that govern materials synthesis. Yet, exploring the exponentially large space of novel crystals for any future application demands an accurate predictive capability for synthesis likelihood to avoid a haphazard trial-and-error. Typically, benchmarks of synthesizability are defined based on the energy of crystal structures. Here, we take an alternative approach to select features of synthesizability from the latent information embedded in crystalline materials. We represent the atomic structure of crystalline materials by three-dimensional pixel-wise images that are color-coded by their chemical attributes. The image representation of crystals enables the use of a convolutional encoder to learn the features of synthesizability hidden in structural and chemical arrangements of crystalline materials. Based on the presented model, we can accurately classify materials into synthesizable crystals versus crystal anomalies across a broad range of crystal structure types and chemical compositions. We illustrate the usefulness of the model by predicting the synthesizability of hypothetical crystals for battery electrode and thermoelectric applications.

Plasmon-induced hot-hole generation and extraction at nano-heterointerfaces for photocatalysis

Localized surface plasmon resonance excitation presents tremendous opportunities for light-harvesting in the field of photocatalysis. Notably, the use of plasmon-generated hot carriers to drive chemical reactions offers the opportunity to control the selectivity of the reaction, unlike temperature-driven catalysis. There has been extensive development of photocatalysts based on plasmon-induced hot electron transfer. However, the equally important hole transfer process has been largely understudied mainly because of the ultrafast dynamics and shorter lifetime of holes compared to electrons. The electron and hole transport asymmetry to the catalytic site introduces additional challenges in extracting holes as oxidants for chemical adsorbents/reactants. This review provides a fundamental overview of plasmonic catalysis, emphasizing recent hot hole extraction and catalysis advancements by exploring different nano-heterointerfaces through which energetic holes can be localized to the catalytic sites. We also highlight some of the critical parameters which must be considered to address the limitations and introduce new possibilities to the field.

Lithium-ion-conductive sulfide polymer electrolyte with disulfide bond-linked PS4 tetrahedra for all-solid-state batteries

Due to their high conductivity and interface formability, sulfide electrolytes are attractive for use in high energy density all-solid-state batteries. However, electrode volume changes during charge-discharge cycling typically cause mechanical contact losses at the electrode/electrolyte interface, which leads to capacity fading. Here, to suppress this contact loss, isolated PS43- anions are reacted with iodine to prepare a sulfide polymer electrolyte that forms a sticky gel during dispersion in anisole and drying of the resulting supernatant. This polymer, featuring flexible (–P–S–S–)n chains and enhanced solubility in anisole, is applied as a lithium-ion-conductive binder in sheet-type all-solid-state batteries, creating cells with low resistance and high capacity retention.

Tuning scalar spin chirality in ultrathin films of the kagome-lattice ferromagnet Fe3Sn

Non-coplanar spin textures with finite scalar spin chirality can be artificially induced at surfaces and interfaces through the interfacial Dzyaloshinskii-Moriya interaction. However, stabilizing a proper magnetic skyrmion crystal via this route remains elusive. Here, using an epitaxial bilayer of platinum and geometrically frustrated kagome-lattice ferromagnet Fe3Sn, we show the possible formation of a two-dimensional skyrmion crystal under well-regulated Fe3Sn thickness conditions. Magnetization measurements reveal that the magnetic anisotropy is systematically varied from an inherent in-plane type to a perpendicular type with the thickness reduction. Below approximately 0.5 nm, we clearly detect a topological Hall effect that provides evidence for finite scalar spin chirality. Our topological Hall effect analysis, combined with theoretical simulations, not only establishes its interfacial Dzyaloshinskii-Moriya interaction origin, but also indicates the emergence of a stable skyrmion crystal phase, demonstrating the potential of kagome-lattice ferromagnets in spin chirality engineering using thin-film nanostructures.

Organic semiconductors for light-mediated neuromodulation

Organic semiconductors have generated substantial interest in neurotechnology and emerged as a promising approach for wireless neuromodulation in fundamental and applied research. Here, we summarise the range of applications that have been proposed so far, including retinal stimulation, excitation and inhibition of cultured neurons and regulation of biological processes in other non-excitable cells from animal and plant origins. We also discuss the key chemical and physical phenomena at the basis of the interaction between materials and cells. Finally, we provide an overview of future perspectives, exciting research opportunities and the remaining challenges hampering the translation of this blooming technology into the clinic and industry.

Heterogeneous origami-architected materials with variable stiffness

Origami, the ancient art of paper folding, has shown its potential as a versatile platform to design various reconfigurable structures. The designs of most origami-inspired architected materials rely on a periodic arrangement of identical unit cells repeated throughout the whole system. It is challenging to alter the arrangement once the design is fixed, which may limit the reconfigurable nature of origami-based structures. Inspired by phase transformations in natural materials, here we study origami tessellations that can transform between homogeneous configurations and highly heterogeneous configurations composed of different phases of origami unit cells. We find that extremely localized and reprogrammable heterogeneity can be achieved in our origami tessellation, which enables the control of mechanical stiffness and in-situ tunable locking behavior. To analyze this high reconfigurability and variable stiffness systematically, we employ Shannon information entropy. Our design and analysis strategy can pave the way for designing new types of transformable mechanical devices.