Efficient Excitonic Configuration Interaction for Large-Scale Multichromophoric Systems Using the Resolution-of-Identity Approximation. [PDF]
Piteša T, Mai S, González L.
europepmc +1 more source
Spatial Signatures of Electron Correlation in Least-Squares Tensor Hyper-Contraction [PDF]
Chao Yin+3 more
openalex +1 more source
Process Tomography on a 7-Qubit Quantum Processor via Tensor Network Contraction Path Finding
Aidan Dang+3 more
openalex +2 more sources
Synthetic Active Liquid Crystals Powered by Acoustic Waves
A fully synthetic active liquid crystal, energized by an acoustic field, is presented. This system exhibits active nematic behavior, tunable topological defect dynamics, and persistent hydrodynamic vortices at high activity levels. The material maintains stable properties while enabling precise activity control in a wide range.
Andrey Sokolov+3 more
wiley +1 more source
Lagrangian Split-Step Method for Viscoelastic Flows. [PDF]
Bašić M+4 more
europepmc +1 more source
Implantable devices rely on batteries that demand surgical replacement, posing risks, and financial burdens. Ultrasound energy transfer (US‐ET) offers a revolutionary wireless alternative but struggles with efficiency. The presented dielectric‐ferroelectric‐boosted US‐TENG (US‐TENGDF‐B) is thin, flexible, and biocompatible that provides high‐efficiency
Iman M. Imani+15 more
wiley +1 more source
Magnetoelectric PVDF-Cobalt Ferrite Films: Magnetostrictive and Magnetorotational Effects, Synergy, and Counteraction. [PDF]
Stolbov OV, Raikher YL.
europepmc +1 more source
Carbon‐based piezoelectric materials are systematically categorized based on their structural and functional properties. The mechanisms of stress‐induced charge transfer are elucidated, and their applications are explored across three key domains: piezoelectric catalysis for energy conversion and environmental remediation, piezoelectric biomedical ...
Mude Zhu+3 more
wiley +1 more source
Deep learning-based analysis of 12-lead electrocardiograms in school-age children: a proof of concept study. [PDF]
Toba S+13 more
europepmc +1 more source
Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin+7 more
wiley +1 more source