Results 131 to 140 of about 9,134 (198)
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong +6 more
wiley +1 more source
A novel W2TiC2Tx MXene prepared through a MAX‐phase route supports sub‐nanometer Co for highly efficient alkaline hydrogen evolution. Strong Co–W interfacial interactions optimize hydrogen adsorption and catalytic activity, enabling low overpotentials of 63 mV at 10 mA cm−2, small Tafel slope of 44.3 mV dec−1, and exceptional durability at industrially
Xiaopeng Liu +15 more
wiley +1 more source
Decoding Synergistic Pathways in Bimetallic MOFs for Advanced Oxidation Processes
This review presents a unified framework linking metal pairing and framework design with electronic structure, redox cycling, oxidant activation, reactive‐species generation, and catalytic performance across photocatalytic and oxidant‐based BMOF‐AOPs. The resulting design principles guide the development of hydrolytically stable and efficient BMOFs for
Karim El‐Naggar +2 more
wiley +1 more source
A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution
ABSTRACT Sodium‐based metal chloride solid electrolytes are promising for sodium solid‐state batteries due to their excellent oxidation stability, which, as shown for Li halides, can coexist with high ionic conductivity. To explore cationic substitution effects, we synthesized NaGaxAl1‐xCl4 (0 ≤ x ≤ 1) via ball milling and investigated structural and ...
Hao Guo, Matteo Bianchini
wiley +1 more source
A bulk activation route to produce nanoporous carbons for atmospheric water harvesting by incorporating potassium hydroxide during resorcinol‐formaldehyde polycondensation. These high‐oxygen sorbents deliver daily water yields up to 23 L kg−1 day−1 with great cyclability, providing a scalable solution for water production in diverse climates.
SeyedEmad AlaviTabari +5 more
wiley +1 more source
Smart Antibacterial Coatings: Harnessing Bacterial Redox Activity for Infection Control
In this study, we have shown that ceftazidime‐loaded poly(3,4‐ethylenedioxythiophene) (PEDOT@CAZ) functions as a smart, redox‐responsive antibacterial coating that couples bacterial electrical activity with localized antibiotic delivery. Shewanella oneidensis and Pseudomonas aeruginosa induced distinct redox responses in PEDOT, reflecting their ...
Abdullah +8 more
wiley +1 more source
Nanoporous silica nanoparticles incorporated in nanoporous platinum offer the possibility for implant‐associated drug delivery from neuronal electrodes. ABSTRACT Sensorineural hearing loss, resulting from damage to the hair cells of the inner ear, profoundly impairs quality of life.
Mosaieb Habib +10 more
wiley +1 more source
Gate‐Induced Critical Current Modulation in W–C Nanowires: The Role of Fabrication
Focused ion beam induced deposition (FIBID) enables precise control of superconducting W–C nanowire devices. Introducing a Ga+ focused ion beam (FIB) cleaning step reduces substrate damage and suppresses leakage currents, shifting gating thresholds to higher voltages.
Alba Arroyo‐Fructuoso +2 more
wiley +1 more source
Advanced Manufacturing of Composite‐Based Systems for Energy Applications
Advanced manufacturing enables the integration of polymers, ceramics, metal oxides, and composites into architected microstructures with tailored transport pathways. By coupling material selection, manufacturing strategy, and structural design, multifunctional energy systems can simultaneously improve electrochemical performance, thermal management ...
Sri Vaishnavi Thummalapalli +13 more
wiley +1 more source
Low‐Pressure Plasma‐Based Wrinkling of PDMS and Machine Learning‐Driven Property Engineering
Wrinkled surfaces are well‐suited for controlled surface deformations in the µm range. The key challenge is the relation between the resulting wrinkle features and the necessary process conditions. Machine learning techniques have solved the prediction and inverse design problems for various preparation conditions, opening a precisely controlled ...
Fabian Kopsch +7 more
wiley +1 more source

