Organic electrochemical synaptic transistors based on sidechain‐engineered conjugated polyelectrolytes reveal that cationic sidechains enable efficient volumetric ion penetration and dense backbone doping, leading to enhanced transconductance and long‐term synaptic retention.
Haim Kwon +6 more
wiley +1 more source
Computer-assisted construction of <i>SU</i>(2)-invariant negative Einstein metrics. [PDF]
Wang QS.
europepmc +1 more source
Extracellular vesicles (EVs) are cell‐derived nanoparticles that mediate intercellular communication through their dynamic biointerfaces. Owing to their intrinsic biological functions, EVs have emerged as promising platforms for biomedical applications.
Leila Pourtalebi Jahromi +3 more
wiley +1 more source
MHD Casson nanofluid flow over a vertical stretchable sheet saturated with a porous medium: a parametric approach for sensitive analysis. [PDF]
Javid K +8 more
europepmc +1 more source
Escaping the Scaling Relationships in Oxygen Reduction Catalysis: Implications for PEM Fuel Cells
Escaping the scaling relationships of the oxygen reduction reaction is vital for hydrogen fuel cells. This outlook examines how interfacial heterogeneity, spanning the subsurface lattice, chemisorption layer, and near‐interface solvation volume, mechanistically decouples intermediate binding energetics.
Muhammad Bilal Wazir +2 more
wiley +1 more source
Thermal radiation and viscous dissipation impact on 2D MHD Williamson ternary hybrid nanofluid flow over a stretching surface. [PDF]
Rehman A +5 more
europepmc +1 more source
Coupled materials design enables a monolithic fiber that integrates complementary sensing regimes into a single wearable strand. By preserving informative signal features across subtle physiological deformation, large body motion, and mixed mechanical inputs, the dual‐gradient architecture generates synchronized, less redundant outputs that improve ...
Yunheum Lee +13 more
wiley +1 more source
Peristaltic transport and thermodynamic analysis of hybrid nanofluids in porous media using physics-informed neural networks. [PDF]
Vaseem M, Uddin Z, Upreti H.
europepmc +1 more source
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao +3 more
wiley +1 more source
Artificial neural network-based analysis of Cattaneo-Christov heat flux and Stratified Casson fluid flow over a stretching sheet with variable thermal conductivity. [PDF]
Farooq M, Arshad S, Hashim.
europepmc +1 more source

