Results 161 to 170 of about 1,705,201 (196)
Advanced Energy Materials, EarlyView.Direct seawater electrolysis using anion exchange membranes is emerging as a promising route for sustainable hydrogen production. This review summarizes multiscale design strategies from seawater chemistry and OER–ClER selectivity to catalysts, membranes, MEAs, cells, stacks, and system integration, providing a roadmap toward selective, durable, and ...
Chiho Kim +7 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Aliovalent B‐site substitution with Sn2+ in lead‐free perovskite, Cs3Bi2Br9, is employed to simultaneously induce lattice contraction and bromine vacancy through charge imbalance and ionic radius mismatch. The resulting structural distortion modulates the electronic structure and improves charge separation, leading to enhanced visible‐light‐driven CO2 ...
Justin Khor +7 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Surface‐engineering Ti3C2Tx MXenes with an in situ‐grown TiO2 layer on the surface in combination with visible‐light‐absorbing Cu2O significantly enhances charge separation and carrier extraction while improving Cu2O resistance to photocorrosion. The resulting Cu2O/TiO2‐MXene photocathodes enable highly selective, solar‐driven ethanol production ...
Luis A. M. Carrascosa +4 more
wiley +1 more source
Advanced Energy Materials, EarlyView.We demonstrate how improved electrochemical performance during water electrolysis is achieved when a porous transport electrode (PTE) is coupled with a traditional catalyst coated membrane (CCM). Using operando neutron radiography, a more homogenous water distribution near the catalyst layer‐membrane interface is revealed in PTE‐based designs due to ...
Tess Seip +8 more
wiley +1 more source
Surface‐Functionalized MXene for Enhanced Photocatalytic CO2 Reduction
Advanced Energy Materials, EarlyView.Poly(catechol/p‐cresol)‐functionalized MXene (f‐MXene) enhances oxidation stability while preserving conductivity, enabling efficient interfacial electron transfer in a Cu/f‐MXene/reduced TiO2 photocatalyst. Strong Cu–f‐MXene synergy promotes CO2 activation and selective CH4 production, achieving a CH4 yield of 18.1 µmol g−1 (>200 × vs.
Dongyun Kim +18 more
wiley +1 more source
Advanced Energy Materials, EarlyView.FeCuCoMnZnOx integrates diverse heteroatomic bridge‐site environments and composition‐dependent electronic structures to promote nitrate activation and sequential hydrogenation toward ammonia, demonstrating that nitrate reduction reaction performance is governed by the combined effects of composition and local coordination rather than configurational ...
Muhammad Usman +14 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract Dielectric barrier discharge (DBD) plasma systems are promising routes for CH4 splitting to COx‐free hydrogen, but their optimization has historically been hindered by the lack of a universal descriptor linking electrical input with chemical output.
Nan Zou +4 more
wiley +1 more source
Sonocatalytic carbon dioxide reduction for syngas production over surface‐roughened CuxO catalyst
AIChE Journal, EarlyView.Abstract The transition to a carbon‐circular economy requires efficient technologies for converting CO2 into value‐added chemical feedstocks. Sonocatalytic CO2 conversion has recently emerged as a compelling approach to drive this conversion. Here, we report a surface‐roughened CuxO catalyst for sonocatalytic CO2 reduction in aqueous media, achieving a
Dong Xia +5 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy +8 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source