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Open data in catalysis: From today's big picture to the future of small data
Open science and data are yet to make a real breakthrough and research policies will have
a critical role in it. The history and general context around open data is hence firstly …
a critical role in it. The history and general context around open data is hence firstly …
Chromatography analysis and design toolkit (CADET)
CADET is an open source modeling and simulation framework for column liquid
chromatography. The software is freely distributed to both academia and industry under the …
chromatography. The software is freely distributed to both academia and industry under the …
[HTML][HTML] Sequential optimal experimental design for vapor-liquid equilibrium modeling
We propose a general methodology of sequential locally optimal design of experiments for
explicit or implicit nonlinear models, as they abound in chemical engineering and, in …
explicit or implicit nonlinear models, as they abound in chemical engineering and, in …
An autonomous microreactor platform for the rapid identification of kinetic models
An autonomous flow microreactor platform was developed that was able to conduct reaction
experiments and measure the outlet reactant and product concentrations using HPLC …
experiments and measure the outlet reactant and product concentrations using HPLC …
Nonlinear ill-posed problem analysis in model-based parameter estimation and experimental design
Discrete ill-posed problems are often encountered in engineering applications. Still, their
sound analysis is not yet common practice and difficulties arising in the determination of …
sound analysis is not yet common practice and difficulties arising in the determination of …
Automated kinetic model identification via cloud services using model-based design of experiments
Industry 4.0 has birthed a new era for the chemical manufacturing sector, transforming
reactor design and integrating digital twin into process control. To bridge the gap between …
reactor design and integrating digital twin into process control. To bridge the gap between …
[کتاب][B] Continuous biomanufacturing: innovative technologies and methods
G Subramanian - 2017 - books.google.com
This is the most comprehensive treatise of this topic available, providing invaluable
information on the technological and economic benefits to be gained from implementing …
information on the technological and economic benefits to be gained from implementing …
Optimal design of experiments for optimization-based model calibration using Fisher information matrix
Statistical model calibration to infer unknown model parameters and model bias has been
widely developed through comparison between simulation response and experimental data …
widely developed through comparison between simulation response and experimental data …
An automated computational approach to kinetic model discrimination and parameter estimation
We herein report experimental applications of a novel, automated computational approach
to chemical reaction network (CRN) identification. This report shows the first chemical …
to chemical reaction network (CRN) identification. This report shows the first chemical …
[HTML][HTML] Model-based design of optimal experiments for nonlinear systems in the context of guaranteed parameter estimation
An approach to the design of experiments is presented in the framework of bounded-error
(guaranteed) parameter estimation for nonlinear static and dynamic systems. The …
(guaranteed) parameter estimation for nonlinear static and dynamic systems. The …