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Keywords = informativeness of plasma kinetic scenario

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15 pages, 1390 KiB  
Article
Predicting Dissolution Kinetics of Tricalcium Silicate Using Deep Learning and Analytical Models
by Taihao Han, Sai Akshay Ponduru, Arianit Reka, Jie Huang, Gaurav Sant and Aditya Kumar
Algorithms 2023, 16(1), 7; https://doi.org/10.3390/a16010007 - 22 Dec 2022
Cited by 3 | Viewed by 3047
Abstract
The dissolution kinetics of Portland cement is a critical factor in controlling the hydration reaction and improving the performance of concrete. Tricalcium silicate (C3S), the primary phase in Portland cement, is known to have complex dissolution mechanisms that involve multiple reactions [...] Read more.
The dissolution kinetics of Portland cement is a critical factor in controlling the hydration reaction and improving the performance of concrete. Tricalcium silicate (C3S), the primary phase in Portland cement, is known to have complex dissolution mechanisms that involve multiple reactions and changes to particle surfaces. As a result, current analytical models are unable to accurately predict the dissolution kinetics of C3S in various solvents when it is undersaturated with respect to the solvent. This paper employs the deep forest (DF) model to predict the dissolution rate of C3S in the undersaturated solvent. The DF model takes into account several variables, including the measurement method (i.e., reactor connected to inductive coupled plasma spectrometer and flow chamber with vertical scanning interferometry), temperature, and physicochemical properties of solvents. Next, the DF model evaluates the influence of each variable on the dissolution rate of C3S, and this information is used to develop a closed-form analytical model that can predict the dissolution rate of C3S. The coefficients and constant of the analytical model are optimized in two scenarios: generic and alkaline solvents. The results show that both the DF and analytical models are able to produce reliable predictions of the dissolution rate of C3S when it is undersaturated and far from equilibrium. Full article
(This article belongs to the Special Issue Deep Learning Architecture and Applications)
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17 pages, 2034 KiB  
Review
Plasma Modeling and Prebiotic Chemistry: A Review of the State-of-the-Art and Perspectives
by Gaia Micca Longo, Luca Vialetto, Paola Diomede, Savino Longo and Vincenzo Laporta
Molecules 2021, 26(12), 3663; https://doi.org/10.3390/molecules26123663 - 16 Jun 2021
Cited by 9 | Viewed by 4417
Abstract
We review the recent progress in the modeling of plasmas or ionized gases, with compositions compatible with that of primordial atmospheres. The plasma kinetics involves elementary processes by which free electrons ultimately activate weakly reactive molecules, such as carbon dioxide or methane, thereby [...] Read more.
We review the recent progress in the modeling of plasmas or ionized gases, with compositions compatible with that of primordial atmospheres. The plasma kinetics involves elementary processes by which free electrons ultimately activate weakly reactive molecules, such as carbon dioxide or methane, thereby potentially starting prebiotic reaction chains. These processes include electron–molecule reactions and energy exchanges between molecules. They are basic processes, for example, in the famous Miller-Urey experiment, and become relevant in any prebiotic scenario where the primordial atmosphere is significantly ionized by electrical activity, photoionization or meteor phenomena. The kinetics of plasma displays remarkable complexity due to the non-equilibrium features of the energy distributions involved. In particular, we argue that two concepts developed by the plasma modeling community, the electron velocity distribution function and the vibrational distribution function, may unlock much new information and provide insight into prebiotic processes initiated by electron–molecule collisions. Full article
(This article belongs to the Special Issue Feature Review Papers in Physical Chemistry)
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17 pages, 365 KiB  
Article
Beginnings of Developing Kinetic Scenarios of Plasma Evolution Due to Coulomb Collisions
by Vasily Erofeev
Plasma 2021, 4(2), 252-268; https://doi.org/10.3390/plasma4020017 - 23 Apr 2021
Cited by 2 | Viewed by 2260
Abstract
A new logic of reducing the two-time formalism to a highly informative scenario of redistribution of plasma particles in momentum due to Coulomb collisions is reported. Based on objective plasma evolution equations following from a properly reduced full plasma description, it has a [...] Read more.
A new logic of reducing the two-time formalism to a highly informative scenario of redistribution of plasma particles in momentum due to Coulomb collisions is reported. Based on objective plasma evolution equations following from a properly reduced full plasma description, it has a more sound foundation than that presented in the previous report on increasing the informativeness of scenarios of the phenomenon. The possibilities of adapting the approach to the further development of more informative scenarios of plasma collisional relaxation and the modelling of transport phenomena are discussed. Full article
(This article belongs to the Special Issue Feature Papers in Plasma Sciences)
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