Results 191 to 200 of about 4,689,601 (244)
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li +9 more
wiley +1 more source
Pressure‐Assisted Dimensional Transformation of 2D Hydrogenated Borophene into 0D Boron Quantum Dots
Hydrogenated borophene (HB) is transformed into distinct boron nanostructures through a solvent‐free thermal process. Under flowing nitrogen, hydrogen escape promotes reconstruction into B2O3 nanoplatelets, whereas hydrogen‐induced pressure under sealed conditions facilitates fragmentation into boron quantum dots.
Ozden Gunes Yildiz +11 more
wiley +1 more source
Advanced ink systems for solution‐processed textile triboelectric nanogenerators are systematically summarized, spanning conductive, tribo‐negative, and tribo‐positive layers. By connecting ink chemistry, deposition methods, and device function, the present review reveals the key governing principles of solution development and highlights practical ...
Xinlong Sun, Stephen Beeby
wiley +1 more source
Myogenic Fusogen‐Engineered Lipid Nanoparticles Enhance mRNA Delivery in Skeletal Muscle
This study reports a biomimetic strategy of engineering full‐length Myomaker, a muscle‐specific fusogen, into lipid nanoparticles (LNPs) to harness the native myoblast fusion capability for skeletal muscle mRNA delivery. The resulting Mymk‐LNPs enhance transfection in differentiating myocytes and enable Cre‐mediated reporter activation in injured ...
Fangyu Zhang +18 more
wiley +1 more source
Electrically Induced Phase Transition and Synaptic Functionality in MoTe2/Graphene Memristors
An electrically induced reversible 2H ↔ 1T′ phase transition is demonstrated in a vertical Au/Ti/MoTe2/graphene memristor with a laterally contacted graphene electrode. Resistive switching proceeds through a compositionally invariant amorphous/2H ↔ amorphous/1T′ transformation, in which a self‐formed amorphous MoTe2 interfacial region is proposed to ...
Chien‐Hua Wang +7 more
wiley +1 more source
Hydrophilic PEO‐copolymers and hydrophobic PDMS are physically integrated via a compatibilizing solvent into an amphipathic dual‐polymer network with versatile interfacial affinity and completely amorphized PEO segments for hyper‐permeable CO2 transport.
Ji Wu +9 more
wiley +1 more source
Architecture‐Driven Functional Coupling in Vertically Aligned Nanocomposites
Vertically aligned nanocomposites define a growth‐engineered architecture in which vertical interfaces, strain fields, defect pathways, and phase connectivity are created simultaneously. This review shows how these architectural features couple ferroic, optical, ionic, electrochemical, and device responses, establishing design rules and open challenges
Md Shatil Islam‐Shanto +4 more
wiley +1 more source
In Situ Magnetic Ordering and Microfabrication of Liquid Crystal Networks with Discretized Alignment
Miniaturizing liquid crystal network actuators typically demands costly laser writing or digital light processing. A low‐cost photolithography platform couples rotating photomasks with a Halbach magnetic array to discretize in‐plane molecular alignment down to 50 µm, producing programmable, light‐responsive grippers, checkerboards, and origami‐inspired
Matthew Gene Scarfo +3 more
wiley +1 more source
Amphoteric Cu‐Doping Leading to High Thermoelectric Performance in p‐Type Bismuth Antimony Telluride
This study shows that Cu plays two opposite roles in p‐type Bi0.5Sb1.5Te3 depending on the processing route. Under thermodynamic‐equilibrium bulk‐synthesis, Cu mainly occupies cation sites, increases hole concentration, preserves mobility, and slightly reduces lattice heat transport. The best‐performing composition among the investigated series reaches
Moritz Thiem +15 more
wiley +1 more source
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei +9 more
wiley +1 more source

