Results 161 to 170 of about 1,362,476 (292)

Membrane Semi‐Permeability and Ion Selectivity in Chemiosmosis: Open Systems Volume Dependence of Electrolyte Chemistry

open access: yesAdvanced Materials Interfaces, EarlyView.
Very small cellular compartments can break electroneutrality and harness proton gradients without active transport structures, whereas larger volumes cannot, underscoring why life's critical energy processes are confined in microscopic spaces. ABSTRACT The effect of pH changes in external ionic solutions on liposomes entrapping non‐permeable weak acid ...
Josep M. Ribó   +4 more
wiley   +1 more source

A reduced 1D stochastic model of bleb-driven cell migration. [PDF]

open access: yesBiophys J, 2022
Muñoz-López MJ, Kim H, Mori Y.
europepmc   +1 more source

Laser‐Synthesized Amorphous PdSe2‐x Nanoparticles: A Defect‐Rich Platform for High‐Efficiency SERS, Photocatalysis, and Photothermal Conversion

open access: yesAdvanced Materials Interfaces, EarlyView.
Using femtosecond ablation, we show that an ordered, stoichiometric crystalline PdSe2 target can be controllably converted into a stable, disordered, non‐stoichiometric, and highly functional amorphous nanomaterial, PdSe2−x${\rm PdSe}_{2-x}$. The obtained nanoparticles offer significant advantages over conventional planar plasmon‐free substrates due to
Andrei Ushkov   +18 more
wiley   +1 more source

Strategies for Enhancing Thermal Conductivity of PDMS in Electronic Applications

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores effective strategies for enhancing heat dissipation in Polydimethylsiloxane (PDMS)‐based composites, focusing on particle optimization, 3D network design, and multifunctional integration. It offers key insights into cutting‐edge methods and simulations that are advancing thermal management in modern electronic devices.
Xiang Yan, Marisol Martin‐Gonzalez
wiley   +1 more source

Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization

open access: yesAdvanced Materials Technologies, EarlyView.
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue   +8 more
wiley   +1 more source

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