Results 121 to 130 of about 23,990 (264)
3D printing enables a high entropy alloy‐derived, in situ formed MnOx overlayer that suppresses oxidation–reconstruction and mitigates anodic dissolution, while enhancing electrolyte wetting and bubble release to accelerate interfacial mass transport and OER kinetics.
Benzhi Wang +8 more
wiley +1 more source
Green and Flexible Superhydrophobic Surfaces for Friction and Drag Reduction Using "Pattern Elongated" Nanoimprinting. [PDF]
Sarkiris P +3 more
europepmc +1 more source
Correction to: Deep reinforcement learning for turbulent drag reduction in channel flows. [PDF]
Guastoni L +4 more
europepmc +1 more source
Liquid metal catalysts are widely assumed to promote high‐quality 2D growth. In this work, operando experiments and machine‐learning‐accelerated simulations show that hBN on Cu breaks this graphene‐derived expectation, where molten Cu promotes multilayer/3D growth, but re‐solidified single‐crystal Cu stabilizes monolayer formation.
Nikoo Ghanadan +17 more
wiley +1 more source
Evolution of Gas Film and Corresponding Drag Reduction Performance in Microchannels with Multi-Configuration Wall Microstructures. [PDF]
Wang H, Li R, Liu Z, Li D.
europepmc +1 more source
Mesoscopic analysis of drag reduction performance of bionic furrow opener based on the discrete element method. [PDF]
Liu G, Yao J, Chen Z, Han X, Zou M.
europepmc +1 more source
ABSTRACT Coacervate droplets formed via liquid–liquid phase separation offer unique opportunities as microreactors and delivery vehicles due to their ability to selectively concentrate biomolecules and support biochemical reactions. However, their passive nature severely restricts precise spatial and temporal control, posing barriers to practical ...
Kailang Liu +6 more
wiley +1 more source
Numerical Investigation on Drag Reduction Mechanisms of Biomimetic Microstructure Surfaces. [PDF]
Liu J, Xu J, Ding C, Shan D, Guo B.
europepmc +1 more source
Drag reduction study of a microfiber-coated cylinder. [PDF]
Hasegawa M, Chen YC, Sakaue H.
europepmc +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source

