Results 31 to 40 of about 15,227,697 (301)

Monitored Tomographic Reconstruction—An Advanced Tool to Study the 3D Morphology of Nanomaterials

open access: yesNanomaterials, 2021
Detailed and accurate three-dimensional (3D) information about the morphology of hierarchically structured materials is derived from multi-scale X-ray computed tomography (XCT) and subsequent 3D data reconstruction.
Konstantin Bulatov   +7 more
doaj   +1 more source

Biomimetic Hierarchically Arranged Nanofibrous Structures Resembling the Architecture and the Passive Mechanical Properties of Skeletal Muscles: A Step Forward Toward Artificial Muscle

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
Skeletal muscles are considered to date the best existing actuator in nature thanks to their hierarchical multiscale fibrous structure capable to enhance their strength and contractile performances.
Carlo Gotti   +8 more
doaj   +1 more source

Enhanced Adhesion of Synthetic Discs with Micro-Patterned Margins

open access: yesBiomimetics, 2022
Many aquatic creatures in nature have non-cooperative surface scaling abilities using suction organs; micro-/nano-scale structures found in different parts of the organs play an important role in this mechanism. Synthetic bioinspired suction devices have
Weimian Zhou, Xuan Wu
doaj   +1 more source

Fixpoint Logics on Hierarchical Structures [PDF]

open access: yes, 2005
Hierarchical graph definitions allow a modular description of graphs using modules for the specification of repeated substructures. Beside this modularity, hierarchical graph definitions also allow to specify graphs of exponential size using polynomial size descriptions.
Göller, Stefan, Lohrey, Markus
openaire   +3 more sources

Outstanding Strengthening and Toughening Behavior of 3D‐Printed Fiber‐Reinforced Composites Designed by Biomimetic Interfacial Heterogeneity

open access: yesAdvanced Science, 2022
3D printing of fiber‐reinforced composites is expected to be the forefront technology for the next‐generation high‐strength, high‐toughness, and lightweight structural materials.
Siwon Yu   +5 more
doaj   +1 more source

In Situ Assembly of Gold Nanoparticles in the Presence of Poly-DADMAC Resulting in Hierarchical and Highly Fractal Nanostructures

open access: yesApplied Sciences, 2021
The presence of the polycationic macromolecule poly(diallyldimethylammonium chloride) (poly-DADMAC) has a strong effect on the shape and size of colloidal gold nanoparticles formed by the reduction of tetrachloroauric acid with ascorbic acid in aqueous ...
J. Michael Köhler, Jonas Kluitmann
doaj   +1 more source

The evolution of hierarchically structured communication

open access: yesFrontiers in Psychology, 2023
Human language sentences are standardly understood as exhibiting considerable hierarchical structure: they can and typically do contain parts that in turn contain parts, etc. In other words, sentences are thought to generally exhibit significant nested part-whole structure.
Ronald J. Planer, Ronald J. Planer
openaire   +4 more sources

Hierarchical Branched Mesoporous TiO2–SnO2 Nanocomposites with Well‐Defined n–n Heterojunctions for Highly Efficient Ethanol Sensing

open access: yesAdvanced Science, 2019
The direct assembly of functional nanoparticles into a highly crystalline mesoporous semiconductor with oriented configurations is challenging but of significance.
Tao Zhao   +7 more
doaj   +1 more source

Construction of Hierarchical PdAgAu Nanorings/MXene–GO Electrocatalysts for Efficient and Ultrastable Hydrogen Evolution Reaction

open access: yesAdvanced Energy & Sustainability Research, 2023
High overpotential and poor long‐term operation stability of electrocatalysts are two major barriers for the hydrogen evolution reaction (HER). Herein, 2D ultrathin PdAgAu nanorings are synthesized and further self‐assembled on Ti2CTx–graphene oxide (GO)
Chaohai Sun   +5 more
doaj   +1 more source

Efficient Context-Preserving Encoding and Decoding of Compositional Structures Using Sparse Binary Representations

open access: yesInformation
Despite their unprecedented success, artificial neural networks suffer extreme opacity and weakness in learning general knowledge from limited experience.
Roman Malits, Avi Mendelson
doaj   +1 more source

Home - About - Disclaimer - Privacy