Results 131 to 140 of about 130,240 (216)

How small changes to methylated piperidinium cations impact the synthesis of zeolite SSZ‐39

open access: yesAIChE Journal, EarlyView.
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]

open access: yesPLoS One
Boeskorov GG   +4 more
europepmc   +1 more source

Machine learning driven many‐objective moving horizon scheduling optimization

open access: yesAIChE Journal, EarlyView.
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

Electron Bridge Enhanced Charge Polarization Enables Efficient and Ultra‐Long Stable Urea Electrosynthesis

open access: yesAngewandte Chemie, EarlyView.
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]

open access: yesPLoS One
Deivanayagam TA   +9 more
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced 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

Key Drivers of Activity and Selectivity in Cu‐Based Catalysts for Methanol Synthesis From CO2: Insights From Atomically Dispersed Promoters

open access: yesAngewandte Chemie, EarlyView.
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

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

open access: yesAdvanced 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

Modulating Local Coordination in Single‐Atom Catalysts: From Fundamental Concepts to Emerging Breakthroughs in Electrocatalysis

open access: yesAngewandte Chemie, EarlyView.
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

Home - About - Disclaimer - Privacy