Mathematical Gnostics

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Heat capacity measurements by a Setaram μDSC3 evo microcalorimeter: estimation of deviation in the measurement, advanced data analysis by mathematical gnostics, and prediction by the artificial neural network - Journal of Thermal Analysis and CalorimetryThe aim of the work is to study the variation in the isobaric heat capacity measurement due to changes in the amount of sample and the calibration standard using a Setaram $$\mu$$ μ DSC3 evo microcalorimeter batch cells to provide a guideline toward the selection of the sample amount to minimize heat capacity measurement error in $$\mu$$ μ DSC. Moreover, overall variation, variation due to the sample amount, and variation due to the calibration standard (reference) amount in heat capacity measurement were estimated for different amounts of the sample or/and the calibration standard material. In the present work, heat capacity measurements were taken for [C4mim][Tf2N] (1-butyl-3-methylimidazolium bis[(trifluoromethyl)sulfonyl]imide) ionic liquid as a sample material and 1-butanol as a calibration standard. A novel non-statistical approach, mathematical gnostics (MG), was used for data analysis of measured heat capacities data. Moreover, the artificial neural network (ANN) model was developed to predict the deviation in the heat capacity measurement with 99.83% accuracy and 0.9939 R2 score. The Python package PyCpep based on the trained ANN model was developed to predict the deviation in the heat capacity measurement.

Thermochemical Properties of Menthol and Terpineol - Journal of Solution ChemistryThe work continues the project of physicochemical characterization of terpenic substances that are present in plants and after emission to the atmosphere play an important role in the formation of cloud condensation nuclei. Two substances, which are solid at room temperature, were studied in this work, namely both enantiomers of menthol and (–)- $$\upalpha$$ α -terpineol. Temperatures and enthalpies of fusion were measured, isobaric heat capacities were measured in the temperature range 326.15–348.15 K and vapor pressures were measured in the temperature range 400–430 K. The experimental values were compared with predictions by COSMO-RS. Modern nonstatistical algorithms based on mathematical gnostics were used for data analysis.

Carbon Nanotube-Based Ionanofluids for Efficient Energy Storage: Thermophysical Properties’ Determination and Advanced Data AnalysisIonanofluids (INFs), ionic liquids (ILs) containing dispersed nanoparticles, show fascinating thermophysical properties. The amount of dispersed nanoparticles influences the properties of the base IL, allowing for a fine-tuning of the properties of the resulting INF. Even though INFs have been studied for more than a decade now, sufficient and reliable data are still lacking. The aim of this work is to report on the heat capacity, viscosity, melting temperature, and electrical conductivity of INFs based on 1-ethyl-3-methylimidazolium bis(trifluoromethylsulfonyl)imide as a function of multi-wall carbon nanotube compositions. In this work, mathematical gnostics has been also used to estimate the uncertainty in each measured property. Moreover, a robust linear regression along a gnostic influence function was used to find the best curve fit for the measured data.

A study of changes in the heat capacity of carbon nanotube-based ionanofluids prepared from a series of imidazolium ionic liquidsIonanofluids (INFs), nanoparticles dispersed into a base fluid, e.g. an ionic liquid, are a novel class of alternative heat transfer fluids. Addition of nanoparticles to a base ionic liquid is the prime reason for an enhancement in the thermophysical properties of ionanofluids. However, due to very limited r

Density and sound velocity measurement by an Anton Paar DSA 5000 density meter: Precision and long-time stabilityVibrating tube density meters are frequently used in routine measurements. The instruments are often equiped with a cell for sound velocity measuremen…

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