Results 131 to 140 of about 130,240 (216)
How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39
Abstract Here we report a synthesis study of SSZ‐39 with four different organic structure directing agents (OSDA). The goal was to determine how subtle changes to the OSDA architecture impact crystallization kinetics, material composition, and other properties.
Onyinyechukwu Ukagha, Daniel F. Shantz
wiley +1 more source
The first Boreal Sable (Martes zibellina, L., 1758) in the Pleistocene Arctic Siberia. [PDF]
Boeskorov GG +4 more
europepmc +1 more source
Machine learning driven many‐objective moving horizon scheduling optimization
Abstract Industrial electrification can decarbonize chemical manufacturing, but it exposes operations to volatile electricity prices and carbon intensities. This work develops a machine learning‐enhanced many‐objective moving horizon scheduling framework that predicts objective correlation groupings from 48‐hour price and emission‐intensity profiles ...
Hongxuan Wang, Andrew Allman
wiley +1 more source
An electron bridge strategy is developed to regulate charge polarization in Pd1 and Ni1 dual single‐atom sites, promoting CO2 reduction, nitrate reduction, and C–N coupling simultaneously. The resulting catalyst achieves efficient urea electrosynthesis with high activity and record durability over 1700 h.
Fan Wu +11 more
wiley +2 more sources
Interventions involving young people for health equity targeting the fossil fuel industry's practices and products: A realist review protocol. [PDF]
Deivanayagam TA +9 more
europepmc +1 more source
Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion
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
Mechanistic studies on model Cu─M/SiO2 catalysts (M = Zn, Ga, and In) reveal that promoters enable a formate spillover pathway from Cu to Mn+ (n = 2 or 3) sites. The promoter's electronic effect on formate bond strengths serves as a quantitative descriptor for activity and selectivity, balancing spillover dynamics with intermediate stabilization to ...
Nat Phongprueksathat +6 more
wiley +2 more sources
Risk of carbon emission leakage through international trade of fossil-based e-fuels under regionally differentiated climate policies. [PDF]
Oshiro K.
europepmc +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
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
This review summarizes atomic‐level design strategies for single‐atom catalysts, emphasizing modulation of the local coordination environment, active‐site geometry, and metal‐support interactions to optimize catalytic activity and stability in electrocatalytic energy conversion applications.
Ashwani Kumar, Harun Tüysüz
wiley +2 more sources

