Results 181 to 190 of about 30,780 (300)
Precipitation of vanadium from leachate solutions by reduction with hydrazine. [PDF]
Pearcy AC +3 more
europepmc +1 more source
Aqueous zinc–iodine batteries (Zn–I2Bs) offer promise for grid storage due to safety and cost advantages yet face critical bottlenecks: severe self‐discharge (polyiodide shuttling and HER), limited energy density, sluggish kinetics, and zinc anode instability.
Jia‐Lin Yang +3 more
wiley +1 more source
Study the behaviour of Ti-Mo-xZr alloys during thermomechanical treatment. [PDF]
Keshtta A +5 more
europepmc +1 more source
This work employs a dual‐effect function strategy of Se to make an original composite material of selenium (Se) and activated carbon (AC) (designated as Se–AC), as a functional iodine‐adsorbed cathode host. Not only Se catalyzes the I0/I− conversion reaction, but also Se nanoparticles can adjust the charge distribution of AC to adsorb more I3−. Aqueous‐
Mudi Li +10 more
wiley +1 more source
Alloy Selection and Manufacturing Technologies for Total Ankle Arthroplasty: A Narrative Review. [PDF]
Mitra K +6 more
europepmc +1 more source
EFFECT OF OXYGEN IN STATIC SODIUM ON VANADIUM AND VANADIUM ALLOYS.
R. L. Klueh, J. H. DeVan
openaire +2 more sources
Using a top‐down defect engineering approach, controllable vacancy concentrations are introduced into V‐based MXenes by rationally designing the precursor MAX phase, aiming to investigate the effect of vacancy concentration on the electrochemical performance.
Leiqiang Qin +7 more
wiley +1 more source
Graph-theoretic analyses of saturation fraction of repulsive dopants in solid solutions. [PDF]
Kubo A, Abe Y.
europepmc +1 more source
This review provides an overview of recent developments in metal organic framework (MOF)‐based and MOF‐derived composites for efficient oxygen evolution reaction. This review also emphasizes the structural design of electrocatalyst, active site optimization, and emerging prospects of their use in practical electrolyzer systems.
Bhagyashri B. Kamble +7 more
wiley +1 more source
Accelerating High-Entropy Alloy Design via Machine Learning: Predicting Yield Strength from Composition. [PDF]
Lee S, Sohn SS, Lee HS, Kim D, Kang Y.
europepmc +1 more source

