Results 131 to 140 of about 48,878 (307)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
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
Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts
Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett +15 more
wiley +1 more source
Analysis of algorithms for sparse signal representation [PDF]
The topic of this thesis is sparse representations of signals. The thesis follows mainly the book Sparse and redundant representations by Michael Elad and is divided into five parts. The first part, consisting of chapter one, introduces the problem (P0) and related and describes the reason why is well founded. The second part, consisting of chapter two,
openaire
Denoising method based on sparse representation for WFT signal
Affected by external noise and various nature disturbances, Wheel Force Transducer (WFT) signal may be completely submerged, and the sensitivity and the reliability of measurement can be strongly decreased.
G Lin (7939241) +2 more
core
Cyclic unloading‐aging‐reloading micro‐tensile tests under various aging durations and temperatures, combined with comprehensive microstructural characterization reveal that the yield point phenomenon in Aluminum‐Carbon (Al‐C) thin films originates from Cottrell atmosphere formation.
Zion Lee +10 more
wiley +1 more source
Sparse representation for signal classification
In this paper, application of sparse representation (factorization) of signals over an overcomplete basis (dictionary) for signal classification is discussed. Searching for the sparse representation of a signal over an overcomplete dictionary is achieved
Ke Huang, Selin Aviyente
core
Solution‐Processed Thin‐Film Transistors With Tunable Temporal Dynamics for Neuromorphic Computing
Solution‐processed CNT and CNT/P3HT ion‐gated transistors exhibit materials‐defined synaptic timescales: fast CNT devices for high‐frequency spiking and slow hybrid devices for temporal integration. Embedding these dynamics into coupled reservoir‐computing and spiking neural network simulations reveals that a Hybrid‐Reservoir / CNT‐SNN architecture ...
Kevin Schnittker +5 more
wiley +1 more source
MXene Wrapped Magnetic Mesocrystals for Durable Redox Catalytic Cancer Therapy and Responsive MRI
Conformal wrapping of ultrathin Ti3C2Tx MXene nanosheets on Fe3O4 mesocrystals creates topology‐stabilized Schottky junctions that direct photoinduced electron transfer under NIR irradiation. The unique architecture sustains Fenton catalysis, promotes continuous hydroxyl radical production, and provides photo‐responsive MRI contrast.
Min Jun Ko +10 more
wiley +1 more source
We introduce a capillary‐filtering‐based particle‐filling (CFPF) process that simultaneously forms vertical thermal pathways and electrical vias within µ‐pores. In situ microfluidic analysis reveals that capillary‐driven velocity gradients generate vorticity that governs µ‐platelet rotation and vertical alignment.
Yujin Mun +11 more
wiley +1 more source
Bayesian Pursuit Algorithm for Sparse Representation
International audienceIn this paper, we propose a Bayesian Pursuit algorithm for sparse representation. It uses both the simplicity of the pursuit algorithms and optimal Bayesian framework to determine active atoms in sparse representation of a signal ...
Zayyani, Hadi +5 more
core +1 more source

