A Geometry of Hamiltonian Mechanics. [PDF]
Elgressy G, Horwitz L.
europepmc +1 more source
Making Sweat Measurable: Induction, Sampling, and Refreshment in Wearable Biofluid Sensing
Wearable sweat sensing relies not only on chemical detection but also on controlled biofluid management. This Review integrates sweat physiology, induction strategies, and microfluidic sampling architectures, demonstrating how flux, transport, and refreshment shape measurement reliability.
Soyoung Shin, Wei Gao
wiley +1 more source
Metal-Phenolic Coatings Enable Universal Design of Spherical Nucleic Acids. [PDF]
Chen C +5 more
europepmc +1 more source
Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Resolving and Controlling Silicoaluminophosphate Zeolite Intergrowths and Mixtures
Low‐dose electron microscopy enables atomic‐resolution imaging of beam‐sensitive SAPO‐34/18 intergrowths, revealing their stacking sequences and spatial distributions under controlled Si content and SDA ratio. This work establishes a methodology linking controllable synthesis with atomic‐resolution microscopy to investigate structure–property ...
Yuxin Ke +10 more
wiley +1 more source
Transport and Response Coefficients in Second-Order Dissipative Relativistic Hydrodynamics with Quantum Corrections: Probing the Quark-Gluon Plasma. [PDF]
Kuntz I, da Rocha R.
europepmc +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
Evidence of universal conformal invariance in living biological matter. [PDF]
Andersen BH +7 more
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

