Results 91 to 100 of about 48,822 (259)

A Model-Free Approach for Maximizing Power Production of Wind Farm Using Multi-Resolution Simultaneous Perturbation Stochastic Approximation

open access: yesEnergies, 2014
This paper provides a model-free approach based on the Multi-Resolution Simultaneous Perturbation Stochastic Approximation (MR-SPSA) for maximizing power production of wind farms.
Mohd Ashraf Ahmad   +2 more
doaj   +1 more source

Universal Conductance Fluctuations in Quantum Anomalous Hall Insulators

open access: yesAdvanced Materials, EarlyView.
Universal conductance fluctuations are observed in mesoscopic quantum anomalous Hall insulators. Two distinct fluctuation patterns are identified, arising from different interference processes of bulk and chiral edge states, respectively. These findings unveil rich quantum interference phenomena in quantum anomalous Hall insulators and provide insights
Peng Deng   +11 more
wiley   +1 more source

Statistical approximation of multicriteria problems of stochastic programming

open access: yesДоповiдi Нацiональної академiї наук України
The article validates an approximation technique for solving multiobjective stochastic optimization problems. As a generalized model of a stochastic system to be optimized, a vector "input–random output" system is considered.
B.V. Norkin
doaj   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

open access: yesAdvanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh   +2 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

Path‐Decoupled Cation‐Eutaxy III–V van der Waals Memristive Semiconductors for Mitigating the Neuromorphic Accuracy‐Energy Trade‐off

open access: yesAdvanced Materials, EarlyView.
Path‐decoupled III–V van der Waals memtransistors spatially separate ionic and electronic transport to overcome the conventional trade‐off between accuracy and energy in neuromorphic hardware. Mobile K+ ions in the vdW gaps set a wide conductance window, Gmax/Gmin, while gate‐tunable hole conduction lowers programming energy, enabling reliable ...
Jihong Bae   +13 more
wiley   +1 more source

Resolving Heterogeneity of Targeted Lipid Nanoparticles Through Solution‐Based Biophysical Analyses

open access: yesAdvanced Materials, EarlyView.
AF4‐UV‐DLS‐MALS‐SAXS resolves previously inaccessible targeted lipid nanoparticle (tLNP) subpopulations that differ in size, shape, and composition. Correlation of subpopulation‐resolved biophysical properties with in vivo RNA delivery reveals that targeted placental transfection is associated with distinct tLNP subpopulations rather than ensemble ...
Hannah C. Geisler   +14 more
wiley   +1 more source

Flax Composites With Improved Interfacial Strength Through Microbially Induced Mineral Precipitation

open access: yesAdvanced Materials, EarlyView.
A bio‐inspired biomineralization strategy introduces an additional hierarchy to flax fiber composites. By controlling microbe‐mediated mineral particle deposition through tuned salt concentrations, stress transfer within the natural fiber composite is enhanced.
Deniz Sayinbas   +5 more
wiley   +1 more source

Learning-Augmented Quasi-Gradient Operators for Constrained Optimization: A Contraction–Bias–Variance Decomposition

open access: yesMathematics
This paper develops a rigorous operator-theoretic framework for learning-augmented quasi-gradient methods in constrained optimization. We consider the minimization of an objective function over a closed convex feasible set, where feasibility is enforced ...
Gilberto Pérez-Lechuga   +2 more
doaj   +1 more source

Ambient‐Spray Ni–Cu(–O)/Ag Nanowire Transparent Heaters for High‐Temperature Heating and Far‐/Near‐Field EMI Suppression

open access: yesAdvanced Materials Interfaces, EarlyView.
A vacuum‐free, ambient‐spray Ni–Cu(–O)/Ag nanowire transparent‐heater platform is realized via conformal junction‐shell engineering and silica–hybrid overcoating, enabling robust high‐temperature heating together with GHz‐band far‐field EMI shielding and near‐field magnetic‐noise attenuation.
Ye Na Heo   +4 more
wiley   +1 more source

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