Results 131 to 140 of about 29,184 (301)
Self-Organizing Graphs - A Neural Network Perspective of Graph Layout
, 1998 The paper presents self-organizing graphs, a novel approach to graph layout based on a competitive learning algorithm. This method is an extension of self-organization strategies known from unsupervised neural networks, namely from Kohonen's self ...
Bernd Meyer, Meyer, Bernd
core +1 more source
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
Advanced Energy Materials, EarlyView.In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Advanced Intelligent Discovery, EarlyView.Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Visualize online collocation dictionary with force-directed graph
, 2012 For second-language learners, collocational knowledge is very important. Knowing collocational phrases allows learners to speak and write in their targeted language naturally and reduce dramatically side effect of their first language.
Pham, Bob
core
Qualitative Visualization on Processes: Attributed Graph Layout and Focusing Techniques
, 1997 Many techniques and algorithms have been proposed for layout and interactions with basic node and link graphs. Here we consider layout and focusing techniques for attributed graphs and show an application of these techniques in a Bellcore system for ...
Kent Wittenburg +3 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
Graph Layout for Displaying Data Structures
, 2001 Displaying a program's data structures as a graph is a valuable addition to debuggers, however, previous papers have not discussed the layout issues specific to displaying data structures.
Waddle, Vance, Vance Waddle
core +1 more source
Materials Representation Learning Based on a Material–Motif Network and Heterogeneous Graphs
Advanced Intelligent Discovery, EarlyView.Structure motifs in materials are used to construct a bipartite material–motif network that links each material to its constituent motifs and establishes connectivity among materials sharing common motifs. Network analysis reveals material clusters associated with different functional applications and supports motif‐guided screening of materials.
Anoj Aryal +3 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This article reviews the current state of bioinspired soft robotics. The article discusses soft actuators, soft sensors, materials selection, and control methods used in bioinspired soft robotics. It also highlights the challenges and future prospects of this field.
Abhirup Sarker +2 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A novel method for generating versatile standing wave fields using an acoustic metasurface deflector and retroreflector is introduced. By overcoming traditional constraints of parallel surfaces, the approach enables customizable wave patterns and enhances applications in particle manipulation.
Chadi Ellouzi +4 more
wiley +1 more source