Electrochimica Acta, Journal Year: 2024, Volume and Issue: 510, P. 145357 - 145357
Published: Nov. 14, 2024
Language: Английский
Electrochimica Acta, Journal Year: 2024, Volume and Issue: 510, P. 145357 - 145357
Published: Nov. 14, 2024
Language: Английский
Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 533, P. 216541 - 216541
Published: Feb. 28, 2025
Language: Английский
Citations
1The Journal of Physical Chemistry C, Journal Year: 2025, Volume and Issue: unknown
Published: Feb. 9, 2025
Language: Английский
Citations
0The Chemical Record, Journal Year: 2025, Volume and Issue: unknown
Published: March 24, 2025
Abstract COFs have become the most attractive frontier research area in heterogeneous catalysis. Since geometry and electronic structure of are largely determined by their microenvironment, which turn determines performance electrocatalytic processes, precise integration atoms COF building blocks to achieve pre‐designed composition, components functions is core. This paper focuses on structural design, synthesis, mechanism application CO 2 RR (types RR, evaluation indicators relationship between performance). In addition, we also explore challenges faced corresponding solution strategies. Finally, highlighting prospects regulation, hope provide inspiration for further development applications.
Language: Английский
Citations
0Chemical Physics Reviews, Journal Year: 2025, Volume and Issue: 6(1)
Published: March 1, 2025
Surfaces and interfaces play key roles in chemical material science. Understanding physical processes at complex surfaces is a challenging task. Machine learning provides powerful tool to help analyze accelerate simulations. This comprehensive review affords an overview of the applications machine study systems materials. We categorize into following broad categories: solid–solid interface, solid–liquid liquid–liquid surface solid, liquid, three-phase interfaces. High-throughput screening, combined first-principles calculations, force field accelerated molecular dynamics simulations are used rational design such as all-solid-state batteries, solar cells, heterogeneous catalysis. detailed information on for
Language: Английский
Citations
0Inorganic Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: March 28, 2025
Transition metal phosphides (TMPs) are widely applied in electrocatalytic reactions, such as the hydrogen evolution reaction (HER), due to their excellent physicochemical properties. However, when utilized CO2 reduction severe limits activation of molecules. In this study, oxygen atoms were successfully migrated from TiO2 into Ni2P nanoparticles through a simple impregnation and low-temperature phosphidation process, constructing an O–Ni2P/TiO2 nanowire array electrode that modulates surface electronic structure, inhibits evolution, promotes activation. At potential −0.4 V (vs RHE), CH4 production rate reached 1.46 μmol·h–1·cm–2, with Faraday efficiency 11.8%, maintained long-term stability during 36-h process. situ infrared spectroscopy revealed CO* CH3* intermediates easily formed on material, which key directly related CH4. Further density functional theory (DFT) calculations indicated oxygen-doped has lower barrier for formation CHO*, thereby facilitating conversion
Language: Английский
Citations
0Journal of the American Chemical Society, Journal Year: 2025, Volume and Issue: unknown
Published: April 18, 2025
Electroreduction of CO2 to value-added C2 products remains hindered by sluggish C-C coupling kinetics and competing side reactions. Inspired the tandem catalytic mechanisms multienzyme systems, we designed a dual-site single-atom nanozyme (DSAN) comprising FeN4 FeO4 sites (FeN4-FeO4). Density functional theory (DFT) calculations under constant potential reveal that site functions as CO generator, while facilitates migration, coupling, subsequent product formation. To further optimize efficiency, introduced pulsed electrocatalysis strategy alternating between zero -0.7 V. This approach dynamically modulates active-site functions: at -0.70 V, adsorption *CH3CH2OH formation are facilitated, 0 migration enhanced due spin-state transitions during switching. Additionally, suppresses excessive hydrogenation key intermediates, thereby improving CH3CH2OH selectivity. These findings highlight synergistic integrating catalysis control, offering novel effective for CO2-to-C2 conversion using SAN catalysts.
Language: Английский
Citations
0Langmuir, Journal Year: 2025, Volume and Issue: unknown
Published: May 7, 2025
Two-dimensional (2D) carbon nitride materials are emerging as ideal supports for single-atom catalysts (SACs) due to their excellent physicochemical stability, abundant active sites, and ample capacity metal loading. However, intrinsic semiconducting properties constrain electrical conductivity, thereby hindering charge transfer during catalytic processes. Herein, we propose a graphene-like 2D structure, g-C2N, derived from first-principles calculations theoretical analysis. This structure is identified topological metal, featuring symmetry-protected Dirac cone. Its topologically nontrivial nature evidenced by distinct edge states, nonzero Berry curvature, quantized Zak phase. Remarkably, g-C2N exhibits Fermi velocity exceeding that of graphene. Furthermore, the constructed Co@C2N2 highly selective catalyst hydrogen peroxide (H2O2) electrosynthesis, with low thermodynamic overpotential 0.08 V. Additionally, Co@C2N2-N developed through N-doping strategies demonstrates outstanding bifunctional 4e- OER/ORR activity overpotentials 0.27 0.32 V, respectively. These findings not only broaden scope but also offer foundational insights rational design oxygen electrocatalysis.
Language: Английский
Citations
0Colloids and Surfaces B Biointerfaces, Journal Year: 2024, Volume and Issue: 248, P. 114468 - 114468
Published: Dec. 20, 2024
Language: Английский
Citations
1Journal of Materials Informatics, Journal Year: 2024, Volume and Issue: unknown
Published: Dec. 28, 2024
Single-atom catalysts (SACs) with N-heterocyclic carbene (NHC) coordination provide an effective strategy for enhancing nitrogen reduction reaction (NRR) performance by modulating the electronic properties of metal active sites. In this work, we designed a novel NHC-coordinated SAC embedding transition metals (TM) into two-dimensional C2N-based nanomaterial (TM@C2N-NCM) and evaluated NRR catalytic using combination density functional theory machine learning. A multi-step screening identified eight high-performance (TM = Nb, Fe, Mn, W, V, Ta, Zr, Ti), Nb@C2N-NCM showing best (limiting potential -0.29 V). All demonstrated lower limiting values compared to their TM@graphene-NCM counterparts, revealing effectiveness C2N substrate in activity. Machine learning analysis achieved high predictive accuracy (coefficient determination 0.91; mean absolute error 0.19) final step protonation (S6), Mendeleev number (Nm), d-electron count (Nd) as key factors influencing performance. This study offers valuable insights rational design SACs highlights nanomaterials advancing electrocatalysts.
Language: Английский
Citations
1Electrochimica Acta, Journal Year: 2024, Volume and Issue: 510, P. 145357 - 145357
Published: Nov. 14, 2024
Language: Английский
Citations
0