Results 91 to 100 of about 42,399 (263)
Miniature Soft Robot With Magnetically Reprogrammable Surgical Functions
Miniature soft robots have great prospects to revolutionize minimally invasive treatments. Here we present a miniature soft robot, which can be reprogrammed to perform five surgical functionalities with six‐degrees‐of‐freedom motions. This soft robot can prospectively make minimally invasive surgery considerably safer and painless, and enable ...
Chelsea Shan Xian Ng +4 more
wiley +1 more source
Distributed Tree Decomposition with Privacy [PDF]
Tree Decomposition of Graphical Models is a well known method for mapping a graph into a tree, that is commonly used to speed up solving many problems. However, in a distributed case, one may have to respect the privacy rules (a subset of variables may have to be kept secret in a peer), and the initial network architecture (no link can be dynamically ...
Vincent Armant +2 more
openaire +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
Investigating the differences among plant functional types (PFTs) and their responses to N deposition is crucial for predicting carbon and nutrient cycles and improving forest management strategies.
Chaozhi Peng +5 more
doaj +1 more source
P4-trees and substitution decomposition
Cotrees for cographs (\(P_ 4\)-free graphs) are generalized to \(P_ 4\)- trees, which can be used to give the modular decomposition of the graph. A vertex addition algorithm is given to construct the \(P_ 4\)-tree of an \(n\)-vertex \(m\)-edge graph in \(O(n+m)\) time.
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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
Tree decompositions for a class of graphs
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Minyong Shi, Yanjun Li, Feng Tian
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Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang +4 more
wiley +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
Tree-decompositions, tree-representability and chordal graphs
The following assertions are shown to be equivalent, for any countable graph G: (1) G can be represented as the intersection graph of a family of subtrees of a tree; (2) G admits a tree-decomposition (Robertson/Seymour) into primes; (3) G is chordal, and G admits a simplicial tree-decomposition (Halin) into primes; (4) G is chordal, and neither of two ...
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