Results 111 to 120 of about 28,509 (255)
Optoelectronic Nanofluidic Neural Networks for Ionic Computing
Advanced Materials, EarlyView.An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang +10 more
wiley +1 more source
Recent Advances in Ferrite‐Based Materials for Biomedical Applications: A Comprehensive Review
Advanced Materials, EarlyView.Ferrite nanoplatforms are presented as tunable biomedical materials in which synthesis control, cation engineering, defect/morphology regulation, and surface functionalization govern structure–property–bioactivity relationships. These design strategies enable multifunctional applications including MRI contrast, magnetic hyperthermia, targeted drug ...
Pramod D. Mhase +6 more
wiley +1 more source
Electrically Coded Retinomorphic Spectrophotodetector
Advanced Materials, EarlyView.Self‐powered retinomorphic pyro‐photodetector is demonstrated that avoids machine‐learning post‐processing and covers 365–940 nm. Electrostatic balancing of built‐in potential produces an electrical wavelength code, delivering <3 nm wavelength decoding accuracy with ∼46 µs response.
Mohit Kumar, Hyunmin Dang, Hyungtak Seo
wiley +1 more source
eLifeManifold-learning is particularly useful to resolve the complex cellular state space from single-cell RNA sequences. While current manifold-learning methods provide insights into cell fate by inferring graph-based trajectory at cell level, challenges ...
Jun Ren +8 more
doaj +1 more source
Advanced Materials, EarlyView.Extracellular vesicles (EVs) are cell‐derived nanoparticles that mediate intercellular communication through their dynamic biointerfaces. Owing to their intrinsic biological functions, EVs have emerged as promising platforms for biomedical applications.
Leila Pourtalebi Jahromi +3 more
wiley +1 more source
Augmentation invariant manifold learning
Journal of the Royal Statistical Society Series B: Statistical MethodologyAbstract Data augmentation is a widely used technique and an essential ingredient in the recent advance in self-supervised representation learning. By preserving the similarity between augmented data, the resulting data representation can improve various downstream analyses and achieve state-of-the-art performance in many applications.
openaire +2 more sources
Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
Advanced Materials, EarlyView.Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu +15 more
wiley +1 more source
Advanced Materials, EarlyView.Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
Estimation of smooth vector fields on manifolds by optimization on Stiefel group
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 Real data are usually characterized by high dimensionality. However, real data obtained from real sources, due to the presence of various dependencies between data points and limitations on their possible values, form, as a rule, form a small part of the
E.N. Abramov, Yu.A. Yanovich
doaj
Advanced Materials Interfaces, EarlyView.Interfacial charge transfer and low‐resistance interphase formation between PEO‐based polymer and Li10GeP2S12 solid electrolytes are investigated using multi‐electrode impedance spectroscopy and advanced analytical techniques such as XPS and ToF‐SIMS.
Ujjawal Sigar +6 more
wiley +1 more source