Results 121 to 130 of about 2,420,955 (221)
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
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
Membrane‐aided simultaneous reaction–separation for liquid phase products
AIChE Journal, EarlyView.Abstract Conventionally, reaction and separation are conducted as separate steps in liquid‐phase manufacturing, with products formed during reaction and subsequently separated from unreacted reagents, solvents, and byproducts. Integrating these steps into a simultaneous reaction–separation process can improve efficiency and reduce costs.
Yihan Song +4 more
wiley +1 more source
AIChE Journal, EarlyView.Abstract Conventional continuous plants use fixed‐capacity equipment, resulting in high capital risk and suboptimal performance under fluctuating demands. To address these, this study proposes an integrated framework for modular process design and supervisory control capable of adapting to demand uncertainty for long‐term economic viability.
T. Asrav, M. Alvarado‐Morales, G. Sin
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.A low‐cost, self‐driving laboratory is developed to democratize autonomous materials discovery. Using this "frugal twin" hardware architecture with Bayesian optimization, the platform rapidly converges to target lower critical solution temperature (LCST) values while self‐correcting from off‐target experiments, demonstrating an accessible route to data‐
Guoyue Xu, Renzheng Zhang, Tengfei Luo
wiley +1 more source
Angewandte Chemie, EarlyView.Increasing the density of isolated manganese (Mn) atoms in carbon nitride (CNx) photocatalysts does not continuously improve performance. Instead, beyond a critical loading, the polymer support reorganizes, altering charge‐carrier dynamics and oxygen activation while preserving atomic dispersion.
Viktoria Velichko +14 more
wiley +2 more sources
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
Elucidating Photo‐Kinetic Control in Photothermal Reverse Water‐Gas Shift Reaction
Angewandte Chemie, EarlyView.Light directly regulates the rate‐determining step (RDS) in photothermal catalysis. In a Mars–van Krevelen (MvK)‐type reverse water‐gas shift (RWGS) reaction over In‐doped MoO2, light shifts the RDS from the H2‐related reduction half‐reaction to the CO2‐related oxidation half‐reaction, enhancing catalytic activity and lowering the apparent activation ...
Junchuan Sun +13 more
wiley +2 more sources
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