Results 171 to 180 of about 249,986 (237)

Neighborhood spikes in drug and alcohol overdoses and subsequent suicide: A serial cross-sectional study of California ZIP codes. [PDF]

Prev Med Rep
Pear VA, Robinson SL, Schleimer JP, Wintemute GJ, Moulin A.   +4 more
europepmc   +1 more source

A Physics Constrained Machine Learning Pipeline for Young's Modulus Prediction in Multimaterial Hyperelastic Cylinders Guided by Contact Mechanics

Advanced Intelligent Discovery, EarlyView.
A physics‐guided machine learning framework estimates Young's modulus in multilayered multimaterial hyperelastic cylinders using contact mechanics. A semiempirical stiffness law is embedded into a custom neural network, ensuring physically consistent predictions. Validation against experimental and numerical data on C.
Christoforos Rekatsinas, Panagiotis Krokidas, Vasileios Vavourakis, Clara Essmann, George Giannakopoulos   +4 more
wiley   +1 more source

Coarse-Grained Hawkes Processes. [PDF]

Entropy (Basel)
Koyama S.
europepmc   +1 more source

RAMS: Residual‐Based Adversarial‐Gradient Moving Sample Method for Scientific Machine Learning in Solving Partial Differential Equations

Advanced Intelligent Discovery, EarlyView.
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang, Min Zhu, Wei Xiong, Si‐Wei Liu, Lu Lu   +4 more
wiley   +1 more source

Determining disease attributes from epidemic trajectories. [PDF]

Infect Dis Model
Rast MP, Rast LI.
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

Near-field-free super-potential FFT method for the three-dimensional free-space Poisson equation

Exl L, Schaffer S.
europepmc   +1 more source

Impact of cilia length and variable fluid properties on electroosmotic nanofluid flow in an inclined converging microchannel. [PDF]

Sci Rep
Sadalagi P, Choudhari R, Vaidya H, Gudekote M, Prasad KV.   +4 more
europepmc   +1 more source

Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation

Advanced Intelligent Discovery, EarlyView.
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti, Sarah I. Allec, Maxim Ziatdinov, Venkateshkumar Prabhakaran   +3 more
wiley   +1 more source

Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects. [PDF]

Sci Rep
Salim I, Okasha N, Barbary M, Anis W.
europepmc   +1 more source