Results 151 to 160 of about 2,024,598 (259)

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

Sources and atmospheric transformation of PM<sub>2.5</sub> at forest site in southern China revealed by δ<sup>13</sup>C. [PDF]

open access: yesiScience
Cheng Z   +10 more
europepmc   +1 more source

Lumped modeling of bubbling fluidized beds for high‐temperature processes

open access: yesAIChE Journal, EarlyView.
Abstract Bubbling fluidized beds (BFBs) have been a source of study for multiple decades. Among other applications, they can be used as scalable reactors for the conversion of biomass and waste resources to fuels. Several experimental and computational studies have been devoted to correlating the interplay of hydrodynamics and heat and mass transfer in
Ravi Ramesh   +3 more
wiley   +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

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

Frameworks for Dating Fossil Man

open access: yesAnthropologica, 1966
Philip E. L. Smith, Kenneth P. Oakley
openaire   +2 more sources

Molecular Preorganization Unlocks Reversible Solid‐State Photoconversion in Dianthrylnaphthalene‐Based Molecular Solar Thermal Systems

open access: yesAngewandte Chemie, EarlyView.
Three dianthrylnaphthalenes were synthesized and investigated for molecular solar thermal (MOST) energy storage. Naphthyl‐based bridging units preorganize the two anthracene moieties face‐to‐face, leading to improved photoisomerization quantum yield (QY) and unlocked bidirectional photoswitching in the solid state compared to previously reported ortho ...
Nicolò Baggi   +10 more
wiley   +2 more sources

Home - About - Disclaimer - Privacy