In Situ Characterisation of Hydrogels via Dynamic Interface Printing
ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler +2 more
wiley +1 more source
Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
Boosting Photo‐Pyroelectric Effect via Tunable Polarization and Interfacial Defect Engineering
This study reports Ba(Ti0.85Zr0.15)O3 nanocatalysts with enhanced polarization and oxygen‐vacancy‐rich interfaces for efficient NIR‐II photo‐pyroelectric therapy. Zr doping boosts the pyroelectric coefficient and accelerates polarization switching, while oxygen vacancies improve photothermal conversion and surface reactivity.
Yanli Huang +13 more
wiley +1 more source
Lattice Genome Framework for Regionally Tailored Component-Level Multi-Objective Design in Additive Manufacturing. [PDF]
A Lattice Genome framework links geometric and process “genes” to lattice “phenotypes” via correction‐calibrated high‐throughput simulations and a growing performance database. Genome‐driven retrieval and recombination of unit cells enables component‐level, regionally tailored multi‐objective design: stress fields are programmed under constant relative
Deng H +8 more
europepmc +2 more sources
Encoding Cumulation to Learn Perturbative Nonlinear Oscillatory Dynamics
Weak nonlinearities critically shape the long term behavior of oscillatory systems but are difficult to identify from data. A data‐driven framework is introduced to infer governing equations of weakly nonlinear oscillators from sparse and noisy observations.
Teng Ma +5 more
wiley +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
Edge Multiscale Methods for elliptic problems with heterogeneous coefficients
In this paper, we proposed two new types of edge multiscale methods motivated by \cite{GL18} to solve Partial Differential Equations (PDEs) with high-contrast heterogeneous coefficients: Edge spectral multiscale Finte Element method (ESMsFEM) and Wavelet-
Chung, Eric, Fu, Shubin, Li, Guanglian
core +1 more source
Deformation‐Induced Formation of Stray Grains in Additive Manufacturing of Single Crystals
Stray grain formation severely limits the additive manufacturing of single‐crystal alloys. By integrating in situ synchrotron techniques, ex situ characterization, and multi‐scale multi‐physics modeling, the authors reveal that stray grains originate from dislocations at the solid‐liquid interface, rather than thermal supercooling in conventional ...
Dongsheng Zhang +11 more
wiley +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
Non-local Multi-continua Upscaling for Flows in Heterogeneous Fractured Media
In this paper, we propose a rigorous and accurate non-local (in the oversampled region) upscaling framework based on some recently developed multiscale methods [10].
Chung, Eric T. +4 more
core +1 more source

