Wave propagation in dual-porosity media under the combined effects of light, heat, elasticity, and gravity. [PDF]
Attia N, Moulahi T, Ahmed A, Elidy ES.
europepmc +1 more source
Mathematical theory of Bayesian statistics
identifier:oai:t2r2.star.titech.ac.jp ...
openaire
Harnessing Machine Learning to Understand and Design Disordered Solids
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
The problematic history of randomised controlled trials Part 2: Hill's 'pragmatic' view of randomisation and its origins. [PDF]
Matthews RA.
europepmc +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
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 +3 more
wiley +1 more source
Optical wave propagation in magneto-optic waveguides with generalized anti-cubic model. [PDF]
Baber MZ +4 more
europepmc +1 more source
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
Normalized Caputo-Fabrizio SVIR modeling and bifurcation analysis. [PDF]
Shafqat R +3 more
europepmc +1 more source
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
A self-normalization and support vector regression based approach for detecting structural change points in time series. [PDF]
Xie N.
europepmc +1 more source

