Results 211 to 220 of about 112,337 (308)

Measurement of magnetic properties in boiler steel at high temperatures using a U-shaped yoke. [PDF]

Sci Rep
Cao M, Zhang Z, He J, Hou R, Gong W, Wu T.   +5 more
europepmc   +1 more source

The Boiler Operation [PDF]

, 2017
Merkulov, Dmitriy, Nikitina, I. P., Pererva, V. Ya.   +2 more
core  

Consolidation of multiple binary distillation columns for large heat duty savings

AIChE Journal, EarlyView.
ABSTRACT The enormous scales of chemical and petrochemical plants present significant challenges in separating and purifying numerous mixed streams generated within a facility, as well as in achieving effective energy utilization and process intensification.
Parikshit S. Kadu, Rakesh Agrawal
wiley   +1 more source

The Genotoxic Potential of Organic Emissions from Domestic Boilers Combusting Biomass and Fossil Fuels. [PDF]

Toxics
Sikorova J, Hopan F, Kubonova L, Horak J, Milcova A, Rossner P, Ambroz A, Krpec K, Molchanov O, Zavodna T.   +9 more
europepmc   +1 more source

Simplified Models of Boiler-Turbine Units

, 1987
Åström, Karl Johan, Bell, Rod
openaire   +1 more source

Interpretable Machine Learning for Solvent‐Dependent Carrier Mobility in Solution‐Processed Organic Thin Films

Advanced Intelligent Discovery, EarlyView.
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley   +1 more source

Exergy Analysis of Sulfuric Acid Production: A Systematic Framework Using UniSim Design. [PDF]

ACS Omega
Ferreira UG, Vaz da Costa T, Neiro SMDS.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Process Knowledge-Guided Optimization Control for Once-Through Boiler-Turbine Units Based on Multi-Agent Reinforcement Learning. [PDF]

ACS Omega
Dai B, Chang Y, Xu S, Wang F.
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source