Polymer‐Based Multiparameter Sensing Integrated Photonic Chip for Health Monitoring
A monolithic integrated photonic chip simultaneously measures blood glucose, pressure, temperature, ECG, and sweat glucose. Combining multiple Bragg grating sensors, Mach–Zehnder modulators, and an on–‐chip demodulation unit, this compact chip (1 cm × 0.5 cm) offers robust multiparameter detection.
Xiaolin Li +11 more
wiley +1 more source
Pulse Wave Velocity Estimation in a Controlled In Vitro Vascular Model: Benchmarking Machine Learning Approaches. [PDF]
Barvik D +3 more
europepmc +1 more source
Chemically Programmable Underwater Sound‐Absorbing Metamaterial via MXene Self‐Assembly
MXene self‐assembly creates a chemically programmable underwater metamaterial with quasi‐periodic layers and a chemical‐physical multi‐level constraint system. A crosslinker as a ‘chemical scissor’ precisely edits microscopic interactions, exciting deep‐subwavelength strong local resonances that induce near‐zero/negative effective bulk modulus (Keff ...
Ziwen Gan +5 more
wiley +1 more source
Hybrid generative-ensemble approach for predicting recycled aggregate concrete strength properties. [PDF]
Awoyera PO +7 more
europepmc +1 more source
An exciting Approach to Theoretical Spectroscopy
ABSTRACT Theoretical spectroscopy, and more generally, electronic‐structure theory, are powerful concepts for describing the complex many‐body interactions in materials. They cover methods from ground‐state properties to lattice excitations and light‐matter interaction, including time‐resolved variants.
Martí Raya‐Moreno +29 more
wiley +1 more source
Physics‐Informed Neural Network‐Enabled Forward Prediction and Inverse Design of Ring Origami
This work presents a KRT‐PINN framework that integrates Kirchhoff rod theory with physics‐informed neural networks for the forward prediction and inverse design of ring origami consisting of closed‐loop rods. The framework predicts stable states of segmented rings with prescribed natural‐curvature profiles and determines the natural‐curvature profiles ...
Luyuan Ning +3 more
wiley +1 more source
Beyond Correlation: Constraint Architecture Explains Proteome-Metabolome Decoupling. [PDF]
Kim KH, Yoo BC.
europepmc +1 more source
Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai +3 more
wiley +1 more source
Computational modeling of surface energy effects on linear and nonlinear frequencies in different crystalline orientations of anodic aluminum micro-beams. [PDF]
Hajlaoui K +3 more
europepmc +1 more source
Acoustic characterization of shell and size-engineered submicron contrast agents using attenuation measurements. [PDF]
Yaali M, Exner AA, Kolios MC.
europepmc +1 more source

