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Lawrence Livermore National Security LLC lsoda
Lsoda, supplied by Lawrence Livermore National Security LLC, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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lsoda - by Bioz Stars, 2026-09
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Article Title: Carbon dioxide removal from anaesthetic gas circuits using hollow fiber membrane contactors with amino acid salt solutions
Article Snippet: A novel technology based on the use of hollow fiber membrane contactors with regenerable liquid absorbents is proposed for carbon dioxide removal from anaesthetic closed breathing circuits.. To analyse the performance of the contactor for this specific application and the influence of the system paramevailable online 12 May 2009 eywords: arbon dioxide bsorption ollow fiber membrane contactors ters, a 2D numerical model was developed for the transport of CO2 through the hollow fibers.. The model considered potassium glycinate solutions as absorbents and a composite membrane made of a porous support layer and a dense thin layer.

Article Title: Kinetics of propylene hydrogenation on nanostructured palladium clusters
Article Snippet: Surfactant-stabilised palladium nanoclusters with an average diameter of about 7.3 nm (determined by XRD) are used as catalysts in propylene hydrogenation.. Experiments performed in an isothermal batch reactor (T = 308 K), with total pressures in the range 0.25–9.0 bar and with initial hydrogen molar ratios varying between 0.05 and 0.40, provide a further insight on the reaction kinetics.. It is shown that a Langmuir–Hinshelwood rate equation well represents the reaction data, which mechanism involves competitive adsorption of the reagents, w d v ©

Article Title: Simulating catalytic membrane reactors using orthogonal collocation with spatial coordinates transformation
Article Snippet: It is presented in this study a new numerical scheme using orthogonal collocation together with an independent variable (spatial coordinate) transformation, useful for solving the model equations associated to membrane reactors with catalytic membranes.. This new scheme takes advantage of a noticeable feature of the concentration profile inside a catalytic membrane: close to the membrane surfaces, this profile becomes s e n A n w t p e t p ©

Article Title: Consecutive-Parallel Reactions in Nonisothermal Polymeric Catalytic Membrane Reactors
Article Snippet: This work reports the development of a nonisothermal and nonadiabatic pseudo-homogeneous model to study a completely back-mixed membrane reactor with a polymeric catalytic membrane, for conducting the consecutive hydrogenation of propyne to propene and then to propane.. The performance of the reactor is analyzed in terms of the propyne concentration in the permeate stream (the only outlet stream from the reactor), the conversion of propyne and hydrogen, and the selectivity and overall yield to the intermediate product propene.. The operating and system parameters considered are the Thiele modulus, the dimensionless contact time, the Stanton number, and the effective hydrogen sorption and diffusion coefficients.

Article Title: Unit Operation and Process Modeling with Physics-Informed Machine Learning
Article Snippet: SciPy odeint solves ordinary differential equations using lsoda from the FORTRAN library odepack (Lawrence Livermore National Laboratory 2023), and the solver configuration (e.g., time step size) is automated by the odepack.

Article Title: Software for Fluid Power Technology
Article Snippet: Taylor & Francis makes every effort to ensure the accuracy of all the information (the “Content”) contained in the publications on our platform.. However, Taylor & Francis, our agents, and our licensors make no representations or warranties whatsoever as to the accuracy, completeness, or suitability for any purpose of the Content.. Any opinions and views expressed in this publication are the opinions and views of the authors, and are not the views of or endorsed by Taylor & Francis.

Article Title: On the Maxwell-Stefan approach to diffusion: a general resolution in the transient regime for one-dimensional systems.
Article Snippet: The diffusion process in a multicomponent system can be formulated in a general form by the generalized Maxwell-Stefan equations.. This formulation is able to describe the diffusion process in different systems, such as, for instance, bulk diffusion (in the gas, liquid, and solid phase) and diffusion in microporous materials (membranes, zeolites, nanotubes, etc.).. The Maxwell-Stefan equations can be solved analytically (only in special cases) or by numerical approaches.

Article Title: Marangoni instability at a contaminated liquid–vapor interface of a burning thin film
Article Snippet: Marangoni instability at a contaminated liquid–vapor interface of a burning thin film Javier Armendáriz, and Moshe Matalon Citation: Physics of Fluids 15, 1122 (2003); View online: https://doi.org/10.1063/1.1562939 View Table of Contents: http://aip.scitation.org/toc/phf/15/5 Published by the American Institute of Physics Articles you may be interested in Optimal leveling of flow over one-dimensional topography by Marangoni stresses Physics of Fluids 14, 1841 (2002); 10.1063/1.1476672 Nonlinear dynamics of three-dimensional long-wave Marangoni instability in thin liquid films Physics of Fluids 12, 1633 (2000); 10.1063/1.870415 Combustion dynamics of low vapour pressure nanofuel droplets Physics of Fluids 29, 074102 (2017); 10.1063/1.4991752 Spreading of a surfactant monolayer on a thin liquid film: Onset and evolution of digitated structures Chaos: An Interdisciplinary Journal of Nonlinear Science 9, 141 (1999); 10.1063/1.166385 Marangoni instability of bi-component droplet gasification Physics of Fluids 8, 1820 (1998); 10.1063/1.868964 Control of evaporatively driven instabilities of thin liquid films Physics of Fluids 14, 1895 (2002); 10.1063/1.1476304 Marangoni instability at a contaminated liquid–vapor interface of a burning thin film Javier Armendáriza) Institute for Mathematics and its Applications, University of Minnesota, Minneapolis, Minnesota 55455-0463 Moshe Matalon McCormick School of Engineering and Applied Science, Northwestern University, Evanston, Illinois 60208-3125 ~Received 4 June 2002; accepted 30 January 2003; published 1 April 2003!. We consider the evaporation and subsequent burning of thin films of liquid fuels on which a nonsoluble surface active agent ~surfactant! is present.. This work complements a previous study where we have considered the same problem but in the absence of surfactant.



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Timing comparisons. ( A – C ) Time taken to simulate a given number of realisations for a single core of an Intel Core i7-975 Extreme Edition Processor 3.33 GHz (solid line) and one Tesla C2050 GPU (dashed line) for (A) the LSODA (B) the Euler–Maruyama and (C) the <t>Gillespie</t> algorithm, respectively. The relative speed-ups for given numbers of simulations are indicated next to the GPU simulation results. ( D ) Summary of the relative speed-up of the three different algorithms.
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Timing comparisons. ( A – C ) Time taken to simulate a given number of realisations for a single core of an Intel Core i7-975 Extreme Edition Processor 3.33 GHz (solid line) and one Tesla C2050 GPU (dashed line) for (A) the LSODA (B) the Euler–Maruyama and (C) the <t>Gillespie</t> algorithm, respectively. The relative speed-ups for given numbers of simulations are indicated next to the GPU simulation results. ( D ) Summary of the relative speed-up of the three different algorithms.
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Timing comparisons. ( A – C ) Time taken to simulate a given number of realisations for a single core of an Intel Core i7-975 Extreme Edition Processor 3.33 GHz (solid line) and one Tesla C2050 GPU (dashed line) for (A) the LSODA (B) the Euler–Maruyama and (C) the Gillespie algorithm, respectively. The relative speed-ups for given numbers of simulations are indicated next to the GPU simulation results. ( D ) Summary of the relative speed-up of the three different algorithms.

Journal: Bioinformatics

Article Title: GPU accelerated biochemical network simulation

doi: 10.1093/bioinformatics/btr015

Figure Lengend Snippet: Timing comparisons. ( A – C ) Time taken to simulate a given number of realisations for a single core of an Intel Core i7-975 Extreme Edition Processor 3.33 GHz (solid line) and one Tesla C2050 GPU (dashed line) for (A) the LSODA (B) the Euler–Maruyama and (C) the Gillespie algorithm, respectively. The relative speed-ups for given numbers of simulations are indicated next to the GPU simulation results. ( D ) Summary of the relative speed-up of the three different algorithms.

Article Snippet: But since in most applications of these algorithms, either in order to explore the parameter space or to perform inference, at least thousands of simulations will be needed for which the GPU outperforms the CPU even for the rather simple p53-Mdm2 model. We also compared the cuda-sim implementations of the LSODA and Gillespie algorithms with implementations in the Matlab package SBTOOLBOX2 ( ) and our Euler–Maruyama implementation with the native sde function within Matlab.

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