Results 151 to 160 of about 206 (191)
The Interoperability Challenge in DFT Workflows Across Implementations
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen +13 more
wiley +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Pre‐Curved Everting Robots With Embedded Steering Intelligence Fabricated by CO2 Laser Welding
Design and experimental demonstration of a laser welded growing robot for anatomically guided navigation. The robot follows an aortic arch phantom entering the branchiocephalic branch through steering by design. The figure shows the physical phantom setup, CAD defined weld geometry and full robot eversion.
Brandon Saldarriaga +5 more
wiley +1 more source
Edge-Path Bundling: A Less Ambiguous Edge Bundling Approach [PDF]
Edge bundling techniques cluster edges with similar attributes (i.e. similarity in direction and proximity) together to reduce the visual clutter. All edge bundling techniques to date implicitly or explicitly cluster groups of individual edges, or parts of them, together based on these attributes. These clusters can result in ambiguous connections that
David Auber +2 more
exaly +5 more sources
Divided Edge Bundling for Directional Network Data [PDF]
The node-link diagram is an intuitive and venerable way to depict a graph. To reduce clutter and improve the readability of node-link views, Holten & van Wijk's force-directed edge bundling employs a physical simulation to spatially group graph edges. While both useful and aesthetic, this technique has shortcomings: it bundles spatially proximal edges ...
Jeffrey Heer, Brandon Heller
exaly +3 more sources
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Edge Bundling in Multi-attributed Graphs
Lecture Notes in Computer Science, 2015Numerous information visualization techniques are available for utilizing and analyzing big data. Among which, network visualization that employs node-link diagrams can determine the relationship among multi-dimensional data. However, when data become extremely large, visualization becomes obscure because of visual clutter.
Ryosuke Saga, Saga Ryosuke
exaly +2 more sources
Expectation-based 3D edge bundling
Multimedia Tools and Applications, 2019In the visualization of the node-link graph, it is common to use edge-bundling algorithms to reduce the visual clutter caused by the increase in nodes and connections while reflecting the high-level structure of the graph. However, the traditional force-directed edge-bundling method has unstable gravitation when applied in three dimensions.
Xiaohui Yuan, Qiang Lu, Yuan Xiaohui
exaly +2 more sources
Evolutionary Node Layout and Edge Bundling
2022 IEEE Congress on Evolutionary Computation (CEC), 2022Ryosuke Saga
exaly +2 more sources
The influence of edge bundling on visual information search
Information Sciences, 2019Abstract Millions of nodes and edges in a node-link diagram representing the network structure of big data may clutter the space, reducing the aesthetic quality and hindering the process of information search. Edge bundling offers an approach to solve this problem. However, to what extent that edge bundling can solve the problem remains unclear.
Yi-Na Li, Mao Lin Huang, Kang Zhang
exaly +2 more sources

