Results 111 to 120 of about 566,013 (230)
Large-eddy simulation of kerosene spray combustion in a model scramjet chamber
, 2010 Large-eddy simulation (LES) of kerosene spray combustion in a model supersonic combustor with cavity flame holder is carried out. Kerosene is injected through the ceiling of the cavity.
Zhang, Man +3 more
core +1 more source
EnergiesThe approach for achieving efficient and clean combustion in a diesel–natural gas (NG) heavy-duty engine at low loads was studied by computational fluid dynamics simulation.
Min Zhang, Wanhua Su, Zhi Jia
doaj +1 more source
Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells
Advanced Energy Materials, EarlyView.Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu +4 more
wiley +1 more source
Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries
Advanced Energy Materials, EarlyView.This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu +5 more
wiley +1 more source
U.S. Agriculture, Biofuel Markets, and Trade: Challenges and Opportunities
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Using an enhanced Computable General Equilibrium (CGE) model (GTAP‐BIO), this study assesses how the expansion in demand for Electric Vehicles (EVs) and the reduction in exports of agricultural products induced by trade disputes negatively affect US agriculture.
Rayan Wolf, Farzad Taheripour
wiley +1 more source
AIChE Journal, EarlyView.Abstract Mixed‐conducting ceramic hollow fiber membranes are a versatile platform for oxygen separation, value‐added chemical production, and oxy‐combustion. Because oxygen permeation is thermally activated, these systems typically rely on bulky, energy‐intensive furnaces that suffer from low efficiency and large thermal inertia.
Gang Wang +2 more
wiley +1 more source
Developing slurries for carbon capture: From synthetic gas mixtures to flue gas
AIChE Journal, EarlyView.Abstract Deep eutectic solvent (DES)‐based systems have recently emerged as promising alternatives to conventional liquid sorbents for CO2 capture due to their tunable properties and potential for enhanced mass transfer. In this work, two DES‐based slurry systems previously developed for CO2 capture, one aqueous and one non‐aqueous, were further ...
Sahar Foorginezhad +3 more
wiley +1 more source
Angewandte Chemie, EarlyView.Trace Mg doping into gallia–alumina generates hole‐type oxygen species that accelerate hydrogen recombination, eliminating the need for Pt promotion. The fully oxide‐based catalyst resists sintering under repeated regeneration, outperforming benchmark PtSn and CrOx catalysts with exceptional stability over 30 dehydrogenation–regeneration cycles ...
DongHwan Oh +8 more
wiley +2 more sources
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
Advanced Intelligent Discovery, EarlyView.This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia +1 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source