Results 61 to 70 of about 617,908 (340)
Autonomous kinetic modeling of biomass pyrolysis using chemical reaction neural networks [PDF]
Combustion and Flame, 2022 Modeling the burning processes of biomass such as wood, grass, and crops is crucial for the modeling and prediction of wildland and urban fire behavior. Despite its importance, the burning of solid fuels remains poorly understood, which can be partly attributed to the unknown chemical kinetics of most solid fuels.
Weiqi Ji +3 more
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Evaluation of rate law approximations in bottom-up kinetic models of metabolism. [PDF]
, 2016 BackgroundThe mechanistic description of enzyme kinetics in a dynamic model of metabolism requires specifying the numerical values of a large number of kinetic parameters.
A Bordbar +49 more
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MethodsX, 2023 Homochirality, the phenomenon by which one of two virtually identical (non-superimposable mirror images) compounds is favored over the other in the chemistry of life, has been regarded as a requisite for the emergence of all living things on earth ...
Elkin Cruz +2 more
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A scalable algorithm to explore the Gibbs energy landscape of genome-scale metabolic networks. [PDF]
PLoS Computational Biology, 2012 The integration of various types of genomic data into predictive models of biological networks is one of the main challenges currently faced by computational biology.
Daniele De Martino +3 more
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Missing links as a source of seemingly variable constants in complex reaction networks
Physical Review Research, 2020 A major challenge in network science is to determine parameters governing complex network dynamics from experimental observations and theoretical models.
Zachary G. Nicolaou, Adilson E. Motter
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Chemical Engineering Journal Advances, 2022 Modeling complex chemical reaction networks has inspired a considerable body of research and a variety of approaches to modeling nonlinear pathways are being developed. Here, a general methodology is formulated to convert an arbitrary reaction network into its equivalent electrical analog.
Sarang S. Nath, John Villadsen
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Atmospheric reaction systems as null-models to identify structural traces of evolution in metabolism. [PDF]
PLoS ONE, 2011 The metabolism is the motor behind the biological complexity of an organism. One problem of characterizing its large-scale structure is that it is hard to know what to compare it to. All chemical reaction systems are shaped by the same physics that gives
Petter Holme, Mikael Huss, Sang Hoon Lee
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Chemical master versus chemical langevin for first-order reaction networks [PDF]
, 2008 Markov jump processes are widely used to model interacting species in circumstances where discreteness and stochasticity are relevant. Such models have been particularly successful in computational cell biology, and in this case, the interactions are ...
Higham, Desmond J., Khanin, Raya
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Thermodynamics of random reaction networks. [PDF]
PLoS ONE, 2015 Reaction networks are useful for analyzing reaction systems occurring in chemistry, systems biology, or Earth system science. Despite the importance of thermodynamic disequilibrium for many of those systems, the general thermodynamic properties of ...
Jakob Fischer +2 more
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Exploiting network topology for large-scale inference of nonlinear reaction models
, 2019 The development of chemical reaction models aids understanding and prediction in areas ranging from biology to electrochemistry and combustion. A systematic approach to building reaction network models uses observational data not only to estimate unknown
Galagali, Nikhil, Marzouk, Youssef M.
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