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Modeling and Simulating Chemical Reactions [PDF]
The author presents basic concepts in modelling, using the example of coupled chemical reactions. Four points are examplified: the necessity of modeling assumptions, the need of a multiscale analysis in order to cope with very different characteristic times of the system, a good understanding of deterministic versus probabilistic source of the models ...
Desmond J. Higham, Martínez-Urreaga J.
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Accelerating the inference of string generation-based chemical reaction models for industrial applications [PDF]
Transformer-based, template-free SMILES-to-SMILES translation models for reaction prediction and single-step retrosynthesis are of interest to computer-aided synthesis planning systems, as they offer state-of-the-art accuracy.
Mikhail Andronov +4 more
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Evaluation of mental models of prospective science teachers on chemical reactions [PDF]
The aim of this study is to examine prospective science teachers' (PSTs) mental models and meanings for the concept of chemical reaction. For this purpose, this study adopted a phenomenological research design including 48 PSTs.
Volkan Bilir, Sedat Karaçam
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The SIR dynamic model of infectious disease transmission and its analogy with chemical kinetics [PDF]
Mathematical models of the dynamics of infectious disease transmission are used to forecast epidemics and assess mitigation strategies. In this article, we highlight the analogy between the dynamics of disease transmission and chemical reaction kinetics ...
Cory M. Simon
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On Quantitative Comparison of Chemical Reaction Network Models [PDF]
Chemical reaction networks (CRNs) provide a convenient language for modelling a broad variety of biological systems. These models are commonly studied with respect to the time series they generate in deterministic or stochastic simulations. Their dynamic
Ozan Kahramanoğulları
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The GRETOBAPE Gas-phase Reaction Network: The Importance of Being Exothermic
The gas-phase reaction networks are the backbone of astrochemical models. However, due to their complexity and nonlinear impact on the astrochemical modeling, they can be the first source of error in the simulations if incorrect reactions are present ...
Lorenzo Tinacci +7 more
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Comparison of chemical reaction kinetic models for corn cob pyrolysis
This study used thermogravimetric analysis to investigate activation energy and pre-exponential factor of corn cob pyrolysis via various model-free methods.
Kiattikhoon Phuakpunk +2 more
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A diagnostic instrument was developed to evaluate the basic chemistry concepts held by freshmen students of the three Chemistry undergraduate courses offered by the University of São Paulo.
Carmen Fernandez +3 more
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Fuelling the Digital Chemistry Revolution with Language Models
The RXN for Chemistry project, initiated by IBM Research Europe – Zurich in 2017, aimed to develop a series of digital assets using machine learning techniques to promote the use of data-driven methodologies in synthetic organic chemistry.
Antonio Cardinale +12 more
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A Comparison of Bimolecular Reaction Models for Stochastic Reaction Diffusion Systems [PDF]
Stochastic reaction-diffusion models have become an important tool in studying how both noise in the chemical reaction process and the spatial movement of molecules influences the behavior of biological systems. There are two primary spatially-continuous
Agbanusi, Ikemefuna C. +1 more
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