Results 71 to 80 of about 805 (260)

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Chemical Looping Combustion of Solid Fuels in a Laboratory Fluidized-bed Reactor Combustion de charges solides avec la boucle chimique dans un lit fluidisé de laboratoire

Oil & Gas Science and Technology, 2011
When using solid fuel in a chemical looping system, the char fraction of the fuel needs to be gasified before syngas react with the oxygen carrier.
Leion H., Mattisson T., Lyngfelt A.
doaj   +1 more source

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source

Experimental and Theoretical Study of the Interactions between Fe2O3/Al2O3 and CO

Energies, 2017
The behavior of Fe2O3/Al2O3 particles as oxygen carriers (OCs) for CO chemical looping combustion (CLC) under different reaction temperatures (700 °C, 800 °C, 900 °C, and 1000 °C) were tested in a lab-scale fluidized bed and a thermogravimetric analysis (
Zhiyong Liang, Wu Qin, Changqing Dong
doaj   +1 more source

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, Christian Mark Pelicano   +1 more
wiley   +1 more source

Enhancing Carbon Capture Efficiency in Chemical Looping Combustion Using Fe₂O₃ and Mn₂O₃ Oxygen Carriers: Insights from ASPEN Plus Modeling

Proceedings
This study investigates the carbon capture efficiency of a Chemical Looping Combustion (CLC) process employing Fe2O3 and Mn2O3 as oxygen carriers, modeled within the ASPEN Plus simulation platform [...]
Savan Saradva, Dhrumil Gandhi
doaj   +1 more source

ChatCFD: A Large Language Model‐Driven Agent for End‐to‐End Computational Fluid Dynamics Automation with Structured Knowledge and Reasoning

Advanced Intelligent Discovery, EarlyView.
Chat computational fluid dynamics (CFD) introduces an large language model (LLM)‐driven agent that automates OpenFOAM simulations end‐to‐end, attaining 82.1% execution success and 68.12% physical fidelity across 315 benchmarks—far surpassing prior systems.
E Fan, Kang Hu, Zhuowen Wu, Jiangyang Ge, Jiawei Miao, Yuzhi Zhang, He Sun, Weizong Wang, Tianhan Zhang   +8 more
wiley   +1 more source

Investigations into the effects of volatile biomass tar on the performance of Fe-based CLC oxygen carrier materials

Environmental Research Letters, 2016
In this study we present findings from investigations into interactions between biomass tar and two iron based oxygen carrier materials (OCMs) designed for chemical-looping applications: a 100% Fe _2 O _3 (100Fe) OCM and a 60 wt% Fe _2 O _3 /40 wt% Al _2
Matthew E Boot-Handford, Nick Florin, Paul S Fennell   +2 more
doaj   +1 more source

Understanding the Impacts of Different Impurities on Elemental Mercury Removal by CaS in Chemical Looping Combustion of Coal: A First Principle Study. [PDF]

ACS Omega, 2023
Fan Y, Jin J, Liu Q, Xu K, Shi H, Liu D.
europepmc   +1 more source

Design and Performance Analysis of a Thermal Energy Storage System With Steam Extraction and Electric Heating in a Coal‐Fired Power Plant

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT To alleviate the impact of the instability of renewable energy power generation on the power grid, coal‐fired power plants (CFPPs) have to undertake peak shaving tasks, which puts forward high requirements for the flexibility of CFPPs. To enhance the flexibility of CFPPs to consume more renewable energy, this paper innovatively proposes a ...
Yuguo Ni, Keliang Liu, Miao Yu, Hao Zhou
wiley   +1 more source