Results 181 to 190 of about 1,255,445 (300)

Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery

Advanced Functional Materials, EarlyView.
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang, Qian Wang, Seong‐Hoon Jang, Hao Li   +3 more
wiley   +1 more source

DWGCN: distance-weighted graph convolutional network for robust spatial domain identification in spatial transcriptomics. [PDF]

Front Genet
Peng C, Li G, Wu J, Fan Q, Guo X.
europepmc   +1 more source

Mechanics of Telson Ridges in Mantis Shrimp for Impact Analysis and Implications for Bioinspired Elastic Shell Designs

Advanced Functional Materials, EarlyView.
The mantis shrimp telson reveals how ridged biological shields control deformation under impact. Inspired by this architecture, telson‐inspired ridged curved shells transform ridge geometry and macroscopic curvature into bidirectional snap‐through, tunable stiffness, and enhanced hysteretic energy dissipation for multifunctional architected materials ...
Phani Saketh Dasika, Adwait Trikanad, Wei Huang, Taige Hao, David Kisailus, Pablo D. Zavattieri   +5 more
wiley   +1 more source

Dynamically weighted graph neural network for detection of early mild cognitive impairment. [PDF]

PLoS One
Liu L, Li Y, Yang K.
europepmc   +1 more source

Reliability evaluation on weighted graph metrics of fNIRS brain networks. [PDF]

Quant Imaging Med Surg, 2019
Wang M, Yuan Z, Niu H.
europepmc   +1 more source

Analog Classification of Human Hand Gestures Exploiting Dendritic Integration With an Organic Artificial Soma

Advanced Functional Materials, EarlyView.
An organic neuromorphic architecture for the classification of human motor behavior is presented and validated. It performs somatic integration by linearly combining the activity from three muscles. An investigation of synaptic weights is presented and discussed in relationship with the classification performance.
Ilenia Sergi, Federico Rondelli, Francesco Torricelli, Federica Velluto, Anna De Salvo, Michele Di Lauro, Luciano Fadiga, Fabio Biscarini   +7 more
wiley   +1 more source

An interpretable adaptive edge-weighted graph convolutional networks model for physical fitness assessment of primary school student in high-altitude regions. [PDF]

Sci Rep
Wang B, Xiao Y, Yang X, Zhang X.
europepmc   +1 more source

Weighted Graph Regularized Sparse Brain Network Construction for MCI Identification. [PDF]

Pattern Recognit, 2019
Yu R, Qiao L, Chen M, Lee SW, Fei X, Shen D.   +5 more
europepmc   +1 more source

Consistent Weighted Graph Layouts

, 2008
. A graph layout is a geometrical representation of a graph such that the vertexes are assigned points and the edges become line segments. In this paper we present two probabilistic algorithms that build layouts for weighted graphs such that the ...
Jason Deboni, Dana Vrajitoru
core  

Halide Composition Controls Phase Morphology and Device Specific Performance in Perovskite Photovoltaics and Light Emitting Diodes

Advanced Functional Materials, EarlyView.
We demonstrate that halide composition determines phase morphology, governing distinct operating mechanisms in mixed halide perovskites. Phase segregating 75% Br compositions enhance solar cell performance, whereas intrinsically phase‐separated 95% Br compositions provide stable light emitting diodes.
Tal Binyamin, Stav Rahmany, Anat Shvets, Hadar Shema, Elad Gross, Ido Hadar, Lioz Etgar   +6 more
wiley   +1 more source