Results 261 to 270 of about 5,366,310 (324)
Advanced Intelligent Discovery, EarlyView.This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri +6 more
wiley +1 more source
The geometry of locomotive behavioral states in C. elegans. [PDF]
PLoS One, 2013 Gallagher T +4 more
europepmc +1 more source
Simulation study under negative triangularity configuration of plasma confinement performance on the HL-3 tokamak [PDF]
Wang Zhe +12 more
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.An AI‐assisted approach is introduced to decode synthesis–performance relationships in metal‐organic framework‐derived supercapacitor materials using Bayesian optimization and predictive modeling, streamlining the search for optimal energy storage properties.
David Gryc +8 more
wiley +1 more source
Three-dimensional analysis of tokamaks and stellarators. [PDF]
Proc Natl Acad Sci U S A, 2008 Garabedian PR.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
Advanced Intelligent Discovery, EarlyView.This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Do rats use shape to solve "shape discriminations"? [PDF]
Learn Mem, 2006 Minini L, Jeffery KJ.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
Advanced Intelligent Discovery, EarlyView.This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
A conjecture of Procesi and the straightening algorithm of Rota. [PDF]
Proc Natl Acad Sci U S A, 1992 Allen EE.
europepmc +1 more source
Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source