Nonlocal Effect of Percolated Particle Networks on Viscoelasticity of Polymer-Filler Nanocomposites: A Mesoscale Simulation Study. [PDF]
Xian W, Tang Z, Maiti A, Saab AP, Li Y.
europepmc +1 more source
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan +12 more
wiley +1 more source
Unveiling the microhabitat puzzle: how spatial heterogeneity shapes cave invertebrate biodiversity across scales. [PDF]
Rocha Melo LMD, Ferreira RL, Silva MS.
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Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu +4 more
wiley +1 more source
A unified RVE-based mesoscale framework for predicting mechanical performance of conventional cement concrete and recycled aggregate slag-dolomite geopolymer concrete. [PDF]
Jiyad P +5 more
europepmc +1 more source
This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham +14 more
wiley +1 more source
Mesoscale Steady-State Dynamics Modeling and Parametric Analysis of the Viscoelastic Response of Asphalt-Bonded Calcareous Sand. [PDF]
Xie L, Pang B, Cao P, Wang J, Tan Z.
europepmc +1 more source
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
Mesoscale Modeling of Steel Fiber Reinforced Concrete Using Geometric Entity Expansion and Point-Line Topology. [PDF]
Li J, Zhang L, Li Y, Sun C.
europepmc +1 more source
Modulation of Local Environment for Selective Bicarbonate Conversion to Multi‐Carbon Products
Highly porous Cu electrode partially coated with an ionomer/carbon composite enables efficient conversion of bicarbonate to multi‐carbon products. By regulating the local reaction microenvironment, this strategy overcomes selectivity and reaction‐rate limitations, achieving Faradaic efficiencies of 43% for ethylene and 60% for total multi‐carbon ...
Tai Nguyen +15 more
wiley +1 more source

