Results 241 to 250 of about 277,866 (307)

A calibration‐less, bonded‐sphere model for highly deformable particle systems in a discrete element method framework

AIChE Journal, EarlyView.
Abstract Here, we introduce a calibration‐less bonded‐sphere model to describe three‐dimensional, linear elastic, highly deformable particles. Voronoi tessellation is used to partition a particle into multiple sub‐spheres, generating a virtual bond network that mimics the mechanical properties of the original particle.
Runhui Zhang, Jens P. Metzger, Christoph R. Müller   +2 more
wiley   +1 more source

Cognitive Abilities and School Achievement: Addressing Challenges Across Adolescence. [PDF]

J Intell
Lemos GC, Guisande MA, Almeida LS.
europepmc   +1 more source

An Optimal Scalp Rotation Flap Design: Mathematical and Bio-Mechanical Analysis

Paola Fernandes Machado, Terry Le, Warren M Rozen, David J. Hunter‐Smith, Vachara Niumsawatt   +4 more
openalex   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

Advanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Generalized contrastive PCA is equivalent to generalized eigendecomposition. [PDF]

PLoS Comput Biol
Woller JP, Menrath D, Gharabaghi A.
europepmc   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Stochastic resonance of rotating particles in turbulence. [PDF]

Nat Commun
Wang Z, de Wit XM, Benzi R, Wu C, Kunnen RPJ, Clercx HJH, Toschi F.   +6 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

Perceived Teacher Support Profiles and Students' Mathematics Engagement, Anxiety and Attitude: A Latent Profile Analysis. [PDF]

Behav Sci (Basel)
Zhou Y, Jing B, Ma H, Liu H.
europepmc   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

Advanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia, Giovanna Pappalardo, Aldo R. Boccaccini, Liliana Liverani   +3 more
wiley   +1 more source