Rate Constants and Energetics of the H<sub>2</sub>SiO + H Reaction System: RP-VTST/MT and VRC Calculations. [PDF]
Pontes MAP +4 more
europepmc +1 more source
Observer‐Based Adaptive Event‐Triggered Tracking Control for Fuzzy TS Systems With Premise Mismatch
This paper presents an adaptive logistic event‐triggered observer‐based tracking controller for Takagi‐Sugeno fuzzy systems under constrained inputs and network delays. Leveraging a hybrid LMI and Secretary Bird Optimization approach, this strategy significantly minimizes communication overhead and computational burden while ensuring optimal reference ...
Oussama Djadane +3 more
wiley +1 more source
Predicting photodegradation rate constants of water pollutants on TiO<sub>2</sub> using graph neural network and combined experimental-graph features. [PDF]
V Solout M, Ghasemi JB.
europepmc +1 more source
ErB4 and NdB4 nanostructured powders are produced by mechanochemical synthesis. 5 h mechanical alloying and 4 M HCl acid leaching are used in the production. ErB4 and NdB4 powders exhibit maximum magnetization of 0.4726 emu g−1 accompanied with an antiferromagnetic‐to‐paramagnetic phase transition at about TN = 18 K and 0.132 emu g−1 with a maximum at ...
Burçak Boztemur +5 more
wiley +1 more source
Quantitative prediction of rate constants and its application to organic emitters. [PDF]
Shizu K, Kaji H.
europepmc +1 more source
The stability criteria affecting the formation of high‐entropy alloys, particularly focusing in supersaturated solid solutions produced by mechanical alloying, are analyzed. Criteria based on Hume–Rothery rules are distinguished from those derived from thermodynamic relations. The formers are generally applicable to mechanically alloyed samples.
Javier S. Blázquez +5 more
wiley +1 more source
Machine learning model to predict rate constants for sonochemical degradation of organic pollutants. [PDF]
Na I, Kim T, Qiu P, Son Y.
europepmc +1 more source
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
Prediction of Depuration Rate Constants for Polychlorinated Biphenyl Congeners
Xinliang Yu
doaj +1 more source
Enhancing Eyringpy: Accurate Rate Constants with Canonical Variational Transition State Theory and the Hindered Rotor Model. [PDF]
Dzib E, Quintal A, Merino G.
europepmc +1 more source

