in this work, thermal degradation behavior of a fuel-rich energetic mixture containing epoxy binder was studied by thrmogravimetric analysis and differential scanning calorimetry under dynamic nitrogen atmosphere at different heating rates. variation of the thermal degradation activation energy of the mixture was evaluated by differential and integral isoconversional methods via akts software p...

a physic-mathematical model has been developed that is suitable for biosensors incorporating membranes and bisubstrate enzymes. the set of equations regarding the transport of reactants across the membrane, the bisubstrate enzymatic reaction, back diffusion of reactants and reaction products, are written down and simultaneously solved and transient response of the electrode is determined as a f...

Abstract Machine learning (ML) is used to provide reactions rates appropriate for models of low temperature plasmas
with a focus on A + B $\rightarrow$ C D binary chemical reactions. The regression model trained
on data extracted from the QBD, KIDA, NFRI and UfDA databases. variety data
on reactant product species, some which also had be estimated using ML.
The f...