Spontaneous Combustion Characteristics of Activated Carbon Modified via Liquid Phase Impregnation during Drying. [PDF]
Li QE, Zhang BJ, Lyu SS, Qi Z.
europepmc +1 more source
Abstract Magnetic field‐assisted concentration swing adsorption (CSA) provides an electrification‐compatible alternative to conventional temperature swing adsorption (TSA) by enabling rapid heating/cooling and energy‐efficient regeneration under near‐isothermal conditions, thereby eliminating the need for sensible heat input.
Xiaohao Jia, Fateme Rezaei
wiley +1 more source
Combustion Characteristics and Thermochemistry of Selected Silicon-Based Compositions for Time-Delay Detonators. [PDF]
Gerlich M, Trzciński WA, Hara M.
europepmc +1 more source
Effects of Syngas Addition on Combustion Characteristics of Gasoline Surrogate Fuel. [PDF]
Chen Q, Zheng Z, Zhu Z.
europepmc +1 more source
Abstract Chemical‐looping gasification (CLG) offers a promising route for renewable biomass valorization, yet conventional oxygen carrier regeneration with O₂/H₂O is energy‐intensive and often produces low‐quality syngas. Here, we develop an inverse ZrO2/Co3O4 oxygen carrier that enables selective biochar oxidation and efficient lattice‐oxygen transfer
Junling Gao +9 more
wiley +1 more source
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod +10 more
wiley +1 more source
Effect of Octa(perfluorodecyl)-Type Polyhedral Oligomeric Silsesquioxanes on Combustion Characteristics of the Mixed Nitrate Ester Gun Propellant. [PDF]
Du X, Liu X, Zhao L, Wang X, Li G.
europepmc +1 more source
Numerical Simulation of the Combustion Characteristics in a Flue Gas Internal Recirculation Burner. [PDF]
Zhang L, Wu C, Zhang J, Zhang B, Sui C.
europepmc +1 more source
A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation
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
Study on the Structural Changes and Spontaneous Combustion Characteristics of Coal Oxygen Composite Reaction. [PDF]
Liu B, Dong X, Mu H, Sun J, Zhang Y.
europepmc +1 more source

