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Electronic and photonic technologies have revolutionised our world and fortified many areas of our modern life. Fundamental and applied research spanning from atoms to devices leading to new technology development, including quantum, atomic, spintronic, optics, nuclear, plasma, superconductors, and low-dimensional materials based devices, is crucial to ensure continuous solutions to existing and future global challenges.
Integrating security, computing and memory capabilities in ion-migration-driven memristors is challenging. Here, Woo et al. experimentally demonstrates a single system that performs cryptographic key generation, universal Boolean logic operations, and encryption/decryption.
The authors present DenRAM, a hardware realization of spiking neural network with dendritic architecture. It utilizes memristive devices to implement both delay and weight parameters, enhancing low-power signal processing with reduced memory use.
Oscillating neural networks promise ultralow power consumption and rapid computation for tackling complex optimization problems. Here, the authors demonstrate VO2 oscillators to solve NP-complete problems with projected power consumption of 13 µW/oscillator.
A bio-inspired control architecture for learning agile quadruped locomotion on challenging terrain suggests Viability (i.e., avoiding falls) as the main criterion for quadrupedal gait transitions and energy efficiency is the secondary objective.
The device performance of pure-green hyperfluorescent organic light-emitting diodes remains unsatisfactory. Here, the authors report multi-resonance emitters with extended π−conjugation or increased donor strength, resulting in bright, efficient and stable pure-green hyperfluorescent devices.
The full potential of photoelectric devices can possibly be maximized through pyroelectricity for power generation beyond thermodynamic limit. Here, authors report photovoltaic heterostructure device with pyroelectric absorber, achieving 2.5 times more output power due to long-range electric field.
The correlation between asymmetric molecular geometry of non-fullerene acceptors and their optoelectronic properties was unclear. Here, the authors found asymmetric ones exhibit increased open-circuit voltage compared to their symmetric counterparts due to reduced non-radiative charge recombination.
Reconfigurable neuromorphic transistors are important for creating compact and efficient neuromorphic computing networks. Here, Li et al. introduce an optoelectronic electrolyte-gated transistor to perform multimodal recognition.
Integrating self-healing capabilities into skin-like stretchable transistors presents a persistent challenge. Here, by using a supramolecular polymer matrix, the authors develop autonomous self-healing transistors and skin-like logic circuits.
Conventional lighting requires an AC-DC converter for LEDs. Here, the authors report a tandem structure by connecting two QLEDs with opposite polarity in parallel, enabling AC driven operation. A household AC electricity plug-and-play QLEDs panel with tuneable colour and brightness is achieved.
In this work, a nanoscale light-emitting diode with memory-electroluminescence is demonstrated, which is used for mimicking the generation of multiple action-potentials and their combinations in bio-inspired afferent nerves.
The most successful commercial implementations of neuromorphic computing circuits are limited to digital-CMOS-circuit based approaches to date. Along this line, Pal et al. improve the energy efficiency by two orders of magnitude using two-dimensional layered material-based tunnel-field-effect transistors.
Processing spatiotemporal information calls for the construction of hardware systems with computing capability comparable to biological neural networks. Inspired by human cochlea, Milozzi et al. develop neuromorphic circuits for memristive tonotopic mapping via volatile resistive switching memory devices.
The distinctive interdependence in mixed ionic-electronic conductors emulates retinal pathway. Here, the authors develop a modular organic neuromorphic spiking circuit to replicate the interdependent functions of receptors, neurons and synapses that are chemically modulated by neurotransmitters.
Luo et al. report a self-driven hemispherical retinomorphic eye that employs ionogel heterojunctions as photoreceptors. This photoreceptor exhibits broadband photosynapse, high conformability, retinal transplantation, and visual restoration for re-time optical imaging and motion tracking.
The realization of a BT.2020 blue emitter is challenging due to the spectral redshift associated with π-extension. Here, the authors report a multi-resonance thermally activated delayed fluorescence emitter, exhibiting ultrapure deep-blue narrow emission and CIEy ≤ 0.05 exceeding 20% efficiency.
The use of conventional X-ray scattering techniques is challenging to detect donor-acceptor contrast within amorphous intermixing regions. Here, the authors apply neutron scattering and targeted deuteration to enhance the contrast by one order of magnitude and reveal short-range aggregations of d-Y6.
The slow curing speed of UV-based methods to produce UV-blocking optically clear adhesive (OCA) for display panels poses a barrier to commercialization. Here, authors introduce a visible-light driven photo-initiating system for rapid production of OCAs, demonstrating efficient UV-blocking ability.
The large organic cations in low-dimensional perovskite often introduces carrier mobility anisotropy and impedes charge transport. Here, authors report perovskite heterojunction with strong aromatic conjugated perovskites, realizing certified efficiency of over 25% in stable perovskite solar cells.
It has been challenging to realize efficient and stable blue phosphorescent organic light-emitting diodes. Here, authors explore the effect of substitution position in platinum(II) dopants with suppressed metal-metal-to-ligand charge transfer features, resulting in prolonged lifetime in the devices.
Smartphone cameras have been widely used for analysis purposes, but the use of magnetometers in smartphones is limited in this regard. In this study, the authors present a smartphone analyte sensor platform that utilizes the built in magnetometer to directly translate signals through analyte-responsive magnetic-hydrogel composites.
Many mechanical computation platforms developed till date lack a rational design strategy and have limited computational functions, such as stand-alone single logic gates, or deformation/transition behaviors. Byun at al. have reported a systematic design principle for integrated mechanical computing that enables the electronics-free design of autonomous and intelligent soft machines, which are seamlessly integrated.
Developing integrated stretchable metal-oxide transistors and circuits is challenging. Here, Kang et al. leveraged molecular-tailored elastic substrates for enhanced adhesion, thus achieving high performance and logical operation across various circuits under high strain.
Piezocapacitive pressure sensors are typically limited by the slow response-relaxation speed for detecting dynamic stimuli. Here, Zhang et al. utilize the electrode-dielectric interface and bonded micro-structured interface for energy dissipation and reduce the response and relaxation time to 0.04 ms.
Guo et al. report enhanced emission and photoconductivity in 2D Ruddlesden-Popper perovskites by synergistically tuning the intra and interlayer structure via pressure. A structure descriptor considering both intra- and interlayer is then introduced for screening perovskite with desired properties.
Shi et al. report the synthesis of multicolour thermally activated delayed fluorescent carbon dots with 3D onion-like configuration to stabilise the triplet state and reduce the singlet-triplet energy gap. LEDs with EQE of 6.0–9.9% are achieved, a step further for efficient and stable displays.
Zhang et al. report a quasistatic multilevel finite element model to predict the 3D structures assembled by 2D nanomembranes, validated by large-scale, high-yield, and configurable fabrication. 3D Si/Cr photodetectors assisted by neural network are employed to resolve the incident light angle.
Hong et al. report 2D perovskite lateral homojunction consists of ordered and disordered phases, achieved by organic cation doping induced phase pinning, built upon which they develop tuneable optical properties under external stimuli and directional exciton diffusion in the homojunctions.
Vehicle control systems typically take compliant objects, such as vegetation, as obstacles to be avoided, hindering locomotion through busy mediums. Here, authors present a traversal strategy that considers a drone’s morphology and an obstacle’s compliance to decide between circumventing it or pushing it aside.
Designing energy-efficient and scalable hardware capable of accelerating Monte Carlo algorithms is highly desirable for probabilistic computing. Here, Singh et al. combine stochastic magnetic tunnel junction-based probabilistic bits with versatile field programmable gate arrays to achieve this goa
Yin et al. realize a FeFET based compute-in-memory annealer as an efficient combinatorial optimization solver through algorithm-hardware co-design with a FeFET chip, matrix lossless compression, and a multi-epoch simulated annealing algorithm.
All-in-one multi-task photoperception is desirable for artificial vision systems. Wen et al. present wafer-scale high density integration of artificial photoreceptors that combine photoadaptation and circular polarized light vision, enabled by chiral-nanocluster-conjugated molecule heterostructures.
Probabilistic inference hardware prevents overconfidence. Lee et al. report a Gaussian-like memory transistor using p-n junction coupled with separate floating gate, offering precise control of the Gaussian outputs, simplified circuit design, and low power consumption for inference computing.
Using Zr-doped HfO2 and ultra-thin indium tin oxide, Li et al. develop flexible field-effect transistors with a memory window of 2.78 V and bending reliability to enable high-performance back-end-of-line compatible wearable devices.
The performance of Y6-containing donor-acceptor active layers in organic solar cells is highly related to the charge-transfer nature in Y6 aggregates. Here, authors study charge-transfer characteristics of excitations of isolated and aggregated Y6 molecules through electroabsorption spectroscopy.
The device’s electroluminescence efficiency is vital to reduce non-radiative voltage losses and boost organic solar cell performance. Here, the authors demonstrate that this efficiency is influenced not only by the decay of charge transfer states but also by the dissociation of singlet states.
The power conversion efficiencies of thick-film perovskite solar cells lag behind those with nanometre film thickness. Here, the authors rule out the restrictions of carrier lifetime on device performance and reveal the critical role of lattice strain in micron-scale thick perovskite films.
The use of thin silver films with nanometric thickness for optoelectronic devices is essential for high transparency, flexibility, and electrical properties. Ma et al. report a thinning-back process with a flood ion beam, to further reduce film thickness down to 4.5 nm.
Fiber electronics for monitoring micro-physiological activities are limited by their sensitivity at micro-flexure deformation. Here, Lin et al. report a micro-flexure-sensitive fiber with nanofiber buckling and ion conduction mechanism. Wearable biomechanical feedback system is demonstrated using the woven textile.
The controllability of deformation height in reconfigurable touch displays currently limits their deliverable information. Hwang et al. present a light-triggered morphable tactile display enabling generation of refreshable, height-adjustable, and latchable 3D topologies with varying textures on a thin film surface.
Pixel size, power consumption, and stability of stretchable optoelectronic devices limit their application in digital imaging. Bian et al. developed a universal detachable interface technique for damage-free micropattern, reproducible transfer and ideal heterocontact of intrinsically stretchable electrodes.
Liu et al. report a universal solution growth method for perovskite thin monocrystals by improving the mass transfer in the high solute flux system. The approach is applied to 29 types of perovskites with growth velocity up to 27.2 µm min-1 and enables efficient self-driven X-ray detectors.
Memristors hold promise for massively-parallel computing at low power. Aguirre et al. provide a comprehensive protocol of the materials and methods for designing memristive artificial neural networks with the detailed working principles of each building block and the tools for performance evaluation.
Parallel information transmission components and hardware strategies are still lacking in neural networks. Here, the authors propose a strategy to use light emitting memristors with negative ultraviolet photoconductivity and intrinsic parallelism to construct direct information cross-layer modules.
A wide reservoir computing system is an advanced architecture. However, its hardware implementation remains elusive due to the lack of 3D architecture framework. Choi et al. demonstrate such hardware made of a multilayered 3D stacked memristive crossbar array for efficient learning and forecasting.
Artificial sensory systems are often limited in structure and functionality. Here, Jiang et al. report a neuromorphic antennal sensory system that achieves spatiotemporal perception of vibrotactile and magnetic stimuli, showcasing biomimetic perceptual intelligence.