Leaftronics: Bio‐Fractal Scaffolds From Leaf Venation for Low‐Waste Electronics
“Leaftronics” transforms naturally evolved leaf venation into quasi‐fractal scaffolds for sustainable electronics. Polymer‐infiltrated leaf skeletons can be used to fabricate ultra‐smooth, reflow‐ and thin‐film‐compatible decomposable substrates, while making the same lignocellulose networks conducting results in flexible transparent electrodes.
Rakesh Rajendran Nair +3 more
wiley +1 more source
Graph Signal Processing : Sparse Representation and Applications
Over the past few decades we have been experiencing an explosion of information generated by large networks of sensors and other data sources. Much of this data is intrinsically structured, such as traffic evolution in a transportation network, temperature values in different geographical locations, information diffusion in social networks, functional ...
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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
Switchable Magnonic Crystals Based on Spin Crossover/CrSBr Heterostructures
Multiscale modeling is employed to investigate the functionality of a light‐controlled, tunable magnonic crystal based on spin‐crossover Fe‐pz molecules integrated with a monolayer of CrSBr. Ab initio simulations confirm that the molecules remain functional on the CrSBr surface, while a semiclassical elastic model demonstrates that light‐induced ...
Andrei Shumilin +4 more
wiley +1 more source
Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford +9 more
wiley +1 more source
Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts
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
Spurious Spike Elimination using Sparse Signal Processing Improves Seizure Onset Zone Delineation in Brief Intraoperative iEEG Recordings. [PDF]
Ayyoubi AH +6 more
europepmc +1 more source
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
Electrochromic Adaptive Solar Heater and Sub‐Ambient Passive Daytime Radiative Cooler
An electrochromic Cu–Bi nanocluster device dynamically switches between solar heating and daytime sub‐ambient radiative cooling without mechanical motion. Defect‐activated graphene, minimized electrolyte loss, and pulse‐assisted reversible electrodeposition enable opposite solar and mid‐infrared modulation in one opaque platform, establishing a design ...
Chenxi Sui +11 more
wiley +1 more source
A Robust Multivariate Thresholding Function for Sparse and Biomedical Signal Reconstruction. [PDF]
Ullah H, Gaire S, Graves CA.
europepmc +1 more source

