Results 131 to 140 of about 2,411,267 (285)
Developing slurries for carbon capture: From synthetic gas mixtures to flue gas
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
Vacuum‐Induced Surface Reconstruction of Mn–Ce Oxides for Low‐Temperature Coupled Redox Catalysis
Near‐surface reconstruction enhances low‐temperature redox catalysis in Mn–Ce mixed oxides. Sequential vacuum annealing and reduced‐pressure O2 treatment enrich Mn near the surface while preserving the CeO2 fluorite framework, promoting interfacial electron redistribution, oxygen activation, and redox cycling.
Yong Yin +5 more
wiley +2 more sources
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
Site‐specific self‐assembly of alkyl thiols on Au/TiO2 enables precise modulation of interfacial electron distribution and the local microenvironment through covalent Au‐thiolate interactions. This site‐specific molecular engineering synergistically promotes surface kinetics and charge separation, suppressing ·O2−‐driven overoxidation and thereby ...
Yaru Shao +11 more
wiley +2 more sources
Modes of Combustion and Reaction Zones Morphology in MILD Combustion
identifier:oai:t2r2.star.titech.ac.jp ...
openaire +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
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
High-temperature rate constant measurement for the reaction of GVL with OH
-Valerolactone (GVL) is a promising bio-based platform molecule. Hydrogen (H) abstraction is the main consumption pathway for GVL at intermediate to high temperature conditions.
KHALED, Fethi, Farooq, Aamir, Liu, D.
core
Prediction‐Guided Two‐Step Solid‐State Exploration of Unknown Pseudo‐Ternary Oxides
Prediction‐guided selection combined with two‐step solid‐state exploration enables efficient search of unknown pseudo‐ternary oxides. Broad robotic slurry screening followed by manual single‐phase isolation leads to the discovery of a new oxide, Ba5SnV6O22, showing how data‐guided experiments connect unexplored composition regions to new materials ...
Hiroyuki Hayashi
wiley +1 more source
It is a fact that slippage causes tracking errors in both longitudinal and lateral directions which results to have less travel distance in tracking a reference trajectory. Less travel distance means having energy loss of the battery and carrying loads less than planned.
Gokhan Bayar +2 more
wiley +1 more source

