Results 181 to 190 of about 649,705 (315)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
Historical Foundation and Practical Guideline for Ferroelectric Switching Kinetic Studies
Advanced Functional Materials, EarlyView.The P and U pulses in the conventional PUND measurements are not identical because of the interplay between switching current and the measurement circuit components. This circuit effect can lead to a shift in polarization transients and misinterpreted physics in the switching kinetics.
Yi Liang, Pat Kezer, John T. Heron
wiley +1 more source
Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes
Advanced Functional Materials, EarlyView.Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita +6 more
wiley +1 more source
On Network-Error Correcting Convolutional Codes under the BSC Edge Error Model
, 2010 Convolutional network-error correcting codes (CNECCs) are known to provide error correcting capability in acyclic instantaneous networks within the network coding paradigm under small field size conditions. In this work, we investigate the performance of
Sundar B, Rajan, Prasad, K
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Near‐Infrared Light‐Driven Zn/Au Janus Micromotors for Multiplex SERS Detection of Anticancer Drugs
Advanced Functional Materials, EarlyView.Zn/Au Janus micromotors, propelled by thermophoretic effects under NIR light, function as active SERS platforms for single and multiplex detection of anticancer drugs. Their dynamic motion enhances analyte exchange at the Au interface, reducing saturation and competitive adsorption, thereby improving sensitivity and extending the linear detection range.
Tijana Maric +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon +4 more
wiley +1 more source
On Peters’s formula for probable error [PDF]
Bulletin of the American Mathematical Society, 1893 openaire +2 more sources
Advanced Functional Materials, EarlyView.Redox dual‐defects (Cs substitution and O vacancies) in 2D hydrated WO3 steer O2 activation toward selective singlet oxygen evolution. WO‐CO achieves 8.6–15.8 times higher 1O2 production than single‐defect or pristine catalysts, enabling efficient pollutant mineralization via a pathway‐selective photocatalytic mechanism.
Sheng‐Qi Guo +8 more
wiley +1 more source
Probability of error of threshold gate networks
, 1969 A threshold gate is a logic gate in which the output is determined by a weighted sum of the inputs compared to a threshold. If the weighted sum is less than the threshold, the output is a zero.
Howard, James E.
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