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Inference of Chemical Reaction Networks Using Hybrid S-system Models
Chemical Product and Process Modeling, 2007This article demonstrates, using simulations, the potential of the S-system formalism for the inference of unknown chemical reaction networks from simple experimental data, such as that typically obtained from laboratory scale reaction vessels. Virtually no prior knowledge of the products and reactants is assumed.
Dominic P Searson +3 more
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The differentiable manifold model of quantum-chemical reaction networks
International Journal of Quantum Chemistry, 2009The methods of general and differential topology (topology ≈ “rubber geometry”) are particularly suitable for the quantum-mechanical description of nonrigid molecular systems. The concept of nuclear configuration space 3NR is replaced by a metric space M and subsequently by a topological space (M, TC) where points of nuclear geometries, as fundamental ...
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Hawkes Process Modelling for Chemical Reaction Networks in a Random Environment
SIAM Journal on Applied Dynamical SystemszbMATH Open Web Interface contents unavailable due to conflicting licenses.
Mark Sinzger-D’Angelo +2 more
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Evolution of Autocatalytic Sets in Computational Models of Chemical Reaction Networks
Origins of Life and Evolution of Biospheres, 2015Several computational models of chemical reaction networks have been presented in the literature in the past, showing the appearance and (potential) evolution of autocatalytic sets. However, the notion of autocatalytic sets has been defined differently in different modeling contexts, each one having some shortcoming or limitation.
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P System Models of Bistable, Enzyme Driven Chemical Reaction Networks
2007In certain classes of chemical reaction networks (CRN), there may be two stable states. The challenge is to find a model of the CRN such that the stability properties can be predicted. In this paper we consider the problem of building a P-system designed to simulate the CRN in an attempt to determine if the CRN is stable or bistable.
Stanley Dunn, Peter Stivers
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Model reduction in bio-chemical reaction networks with Michaelis-Menten kinetics
2013 European Control Conference (ECC), 2013In this paper, a model reduction procedure is proposed for the simplification of biochemical reaction network models. The approach is capable of reducing ODE models where the right hand side of the equations contains polynomial and/or rational function terms.
Katalin M. Hangos +2 more
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Chemical Reaction Neural Network Modelling of Lignocellulosic Biomass Pyrolysis
SSRN Electronic Journal, 2023Jiangkuan Xing +3 more
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Robust Model Invalidation for Chemical Reaction Networks Using Generalized Moments
2023 62nd IEEE Conference on Decision and Control (CDC), 2023Theodore W. Grunberg +1 more
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Modelling reactions in ESCAP polymers following EUV exposure via a chemical reaction network
International Conference on Extreme Ultraviolet Lithography 2023, 2023Jacob R. Milton +2 more
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