Results 71 to 80 of about 3,634,616 (216)
Advanced Functional Materials, EarlyView.Guided by the golden ratio, a class of aperiodic architected metamaterials is introduced to address the intrinsic trade‐off between strength and toughness. By unifying local geometric heterogeneity with global order, the golden‐ratio‐guided aperiodic architecture promotes spatial delocalization of damage tolerence regions, leading to more tortuous ...
Junjie Deng +9 more
wiley +1 more source
Efficient Scaling of Bayesian Neural Networks
IEEE AccessWhile Bayesian neural networks (BNNs) have gained popularity for their theoretical guarantees and robustness, they have yet to see a convincing implementation at scale.
Jacob R. Epifano +3 more
doaj +1 more source
Efficient Constrained Signal Reconstruction by Randomized Epigraphical Projection
, 2019 This paper proposes a randomized optimization framework for constrained signal reconstruction, where the word "constrained" implies that data-fidelity is imposed as a hard constraint instead of adding a data-fidelity term to an objective function to be ...
Ono, Shunsuke
core +1 more source
Structure–Transport–Ion Retention Coupling for Enhanced Nonvolatile Artificial Synapses
Advanced Functional Materials, EarlyView.Nitrogen incorporation into the conjugated backbone of donor–acceptor polymers enables efficient charge transfer and deep ion embedding in organic electrochemical synaptic transistors (OESTs). This molecular‐level design enhances non‐volatile synaptic properties, providing a new strategy for developing high‐performance and reliable neuromorphic devices.
Donghwa Lee +5 more
wiley +1 more source
Exploring the PV Power Forecasting at Building Façades Using Gradient Boosting Methods
Energies, 2023 Solar power forecasting is of high interest in managing any power system based on solar energy. In the case of photovoltaic (PV) systems, and building integrated PV (BIPV) in particular, it may help to better operate the power grid and to manage the ...
Jesús Polo +5 more
doaj +1 more source
Domain Wall Rebounds Driven by Competing Entropic and Spin‐Transfer Torques in Cylindrical Nanowires
Advanced Functional Materials, EarlyView.Domain‐wall motion in cylindrical magnetic nanowires driven by nanosecond current pulses. Low current densities efficiently displace domain walls, whereas higher currents cause rebound at the wire ends. The effect results from the interplay between spin‐transfer torque and thermally induced processes, highlighting the role of thermal gradients in ...
Elias Saugar +11 more
wiley +1 more source
Stochastic oscillations of adaptive networks: application to epidemic modelling
, 2012 Adaptive-network models are typically studied using deterministic differential equations which approximately describe their dynamics. In simulations, however, the discrete nature of the network gives rise to intrinsic noise which can radically alter the ...
Catherine Mills +9 more
core +1 more source
Color Routing and Beam Steering of Single‐Molecule Emission with a Spherical Silicon Nanoantenna
Advanced Functional Materials, EarlyView.We experimentally demonstrate broadband directional emission from single molecules using a single spherical silicon nanoparticle assembled via DNA origami. By varying nanoparticle (NP) size and emitter position, we achieve unidirectional emission, beam steering, and color routing at the nanoscale, revealing modal interference as the underlying ...
María Sanz‐Paz +9 more
wiley +1 more source
Journal of Marine Science and Engineering, 2016 Tidal datums are key components in NOAA’s Vertical Datum transformation project (VDatum). In this paper, we propose a statistical interpolation method, derived from the variational principle, to calculate tidal datums by blending the modeled and the ...
Lei Shi, Edward Myers
doaj +1 more source
Meniscus Pixel Printing for Contact‐Lens Vision Sensing and Robotic Control
Advanced Functional Materials, EarlyView.A visual‐sensing contact lens is enabled by meniscus pixel printing (MPP), which rapidly patterns a 200 µm perovskite photodetector pixel in 1 s without masks, vacuum processing, or bulky equipment. A deep‐learning‐based super‐resolution reconstructs sparse on‐lens signals into 80 × 80 high‐resolution visual information, while AI‐driven eye‐tracking ...
Byung‐Hoon Gong +7 more
wiley +1 more source