Results 81 to 90 of about 78,044 (266)
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
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
The Impact of Cadmium Loading In Fe/Alumina Catalysts and Synthesis Temperature on Carbon Nanotubes Growth by Chemical Vapor Deposition Method [PDF]
We evaluated the effect of Fe/Alumina Catalyst contained different Cadmium contents and two synthesis temperatures on producing carbon nanotubes by chemical vapor deposition of methane as a feedstock.
M. Karimi, A. Badiei, P. Zarabadi-poor
doaj
Advances on Sensors Based on Carbon Nanotubes
Carbon nanotubes have been attracting considerable interest among material scientists, physicists, chemists, and engineers for almost 30 years. Owing to their high aspect ratio, coupled with remarkable mechanical, electronic, and thermal properties ...
Luca Camilli, Maurizio Passacantando
doaj +1 more source
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
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Trions as Fundamental Species in Chemically Doped Polymer Semiconductors
This work shows that exciton–charge carrier coupling in doped polymer semiconductors gives rise to multi‐particle states, including trions—quasiparticles consisting of two holes and one electron under p‐doping—and bound exciton‐hole pairs, as identified through spectroscopic and theoretical analysis.
Hongmo Li +23 more
wiley +1 more source
The focus of this study is to evaluate the effect of carboxyl and amino functionalization of multiwalled carbon nanotubes on the mechanical property of the epoxy resin filled with modified carbon nanotubes. The carbon nanotubes were treated with sulfuric
Wesley Francisco +5 more
doaj
Effect of CNTs on properties of PcBN composites with mixed particle size
To improve the performance of PcBN composites prepared under high temperature and high pressure, mixed cBN particle sizes ranging from 0 to 0.5 μm and 0.5 to 1.0 μm were used as the raw material, Al-Ti-Al2O3 was used as the binder and the carbon ...
Changjiang XIAO +10 more
doaj +1 more source
Lead Halide Perovskite Photoelectrocatalysis
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
wiley +1 more source

