Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin +6 more
wiley +1 more source
Adaptive Neural Control for Constrained Biomimetic Rehabilitation Robots Using a Novel High-Order Integral Barrier Function. [PDF]
Zhang T, Zhang J, Yan P.
europepmc +1 more source
Advances in Josephson Junction Materials and Processes Toward Practical Quantum Computing
Emerging materials for quantum computing, including crystalline materials, two‐dimensional van der Waals materials, two‐dimensional electron gas systems, ferromagnets, and unconventional (e.g., d‐wave) superconductors, offer opportunities to engineer next‐generation Josephson junctions.
Hyunseong Kim +11 more
wiley +1 more source
The Measurement Problem in the Thermodynamics of Black Holes. [PDF]
Schoenmaker J.
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Highly Linear Perovskite Synapses for Neuromorphic Computing
Voltage spikes applied to an Au/ACI‐phase perovskite/ITO memristor emulate the ionic signaling of a biological synapse, generating a tunable postsynaptic current. The vertically aligned perovskite film confines iodide‐vacancy migration, enabling highly linear, and symmetric conductance updates with 100 states and 5.5 aJ per event. Such synapses sustain
Zhongwen Sun +7 more
wiley +1 more source
Solar Cycle Variation of the Distribution of Photospheric Magnetic Flux Features. [PDF]
Noble CN, Parnell CE, Neukirch T.
europepmc +1 more source
Changes in light intensity impact trap states introduced at the metal oxide/perovskite interface. Comparing SnO2, TiO2 and ZnO electron transport layers reveals high interfacial trapping and recombination under high‐light, while bulk defects become more dominant under low‐light.
Tianhao Lan +6 more
wiley +1 more source
Convergence Guarantees for Time-Inhomogeneous Uniform-Rate Discrete Diffusion Models. [PDF]
Liang Y, Lai L, Shroff N, Liang Y.
europepmc +1 more source
Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley +1 more source
Bio-Inspired Anisotropic On-Manifold Guidance for Bearing-Only UAV Target Localization Under No-Fly Zone Constraints. [PDF]
Li Z, Chen L, Liu H, Lu K.
europepmc +1 more source

