Journal of Electroanalytical Chemistry, Journal Year: 2024, Volume and Issue: 978, P. 118872 - 118872
Published: Dec. 11, 2024
Language: Английский
Journal of Electroanalytical Chemistry, Journal Year: 2024, Volume and Issue: 978, P. 118872 - 118872
Published: Dec. 11, 2024
Language: Английский
Small Science, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 3, 2025
While bulk gold is well known to be diamagnetic, there growing experimental and theoretical work supporting the formation of nano with unconventional magnetic properties. However, access such nanoparticles at scale limited. It established that particles are readily accessible when exposing aqueous solutions auric acid (H[AuCl 4 ]) UV irradiation ( λ = 254 nm) under high shear in a vortex fluidic device (VFD), as photo‐contact electrification process. Thin films liquid VFD down ≈200 μm thick generated tilted rapidly rotating angled glass tube induced mechanical energy imparted shear, which exposed UV, reduces Au 3+ elemental without need for adding reducing agents, unlike conventional synthesis particles. The use force microscopy (MFM) reported show VFD‐generated 2D sheets have embedded them, material electron paramagnetic resonance active. A report made on insights into origin magnetism shows dramatic enhancement catalytic activity hydrogen generation reaction relative using traditionally produced comparable size.
Language: Английский
Citations
0Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown
Published: March 16, 2025
Abstract High‐entropy nanoparticles (HENPs) present a vast opportunity for the development of advanced electrocatalysts. The optimization their chemical compositions, including careful selection and combination elements, is critical to tailoring HENPs specific catalytic processes. To reduce extensive experimental effort involved in composition optimization, active learning techniques can be utilized predict suggest materials with enhanced electrocatalytic activity. In this study, sub‐2 nm high‐entropy catalysts incorporating eight transition metal elements are developed through an workflow aimed at identifying optimal compositions. Using initial data, approach successfully guided discovery new octonary HENP catalyst state‐of‐the‐art performance hydrogen evolution reaction (HER). Catalyst improved within prediction uncertainty machine model. For oxygen (OER), however, model demonstrated limited predictive accuracy, leading assessment workflow's boundaries. These findings underscore how integration curated data accelerate electrocatalyst discovery, while also highlighting areas further refinement.
Language: Английский
Citations
0ACS Materials Letters, Journal Year: 2025, Volume and Issue: unknown, P. 1760 - 1767
Published: April 7, 2025
Language: Английский
Citations
0Catalysis Today, Journal Year: 2024, Volume and Issue: 446, P. 115117 - 115117
Published: Oct. 30, 2024
Language: Английский
Citations
2Journal of Electroanalytical Chemistry, Journal Year: 2024, Volume and Issue: 978, P. 118872 - 118872
Published: Dec. 11, 2024
Language: Английский
Citations
0