Model-based tools for optimal experiments in bioprocess engineering
Currently applied methods for characterization and optimization of bio-pharmaceutical
processes are still strongly empirical. This often involves Design of Experiment (DoE) …
processes are still strongly empirical. This often involves Design of Experiment (DoE) …
Pyomo.DOE: An open‐source package for model‐based design of experiments in Python
J Wang, AW Dowling - AIChE Journal, 2022 - Wiley Online Library
Predictive mathematical models are a cornerstone of science and engineering. Yet
selecting, calibrating, and validating said science‐based models often remains an art in …
selecting, calibrating, and validating said science‐based models often remains an art in …
Bayesian model averaging to explore the worth of data for soil‐plant model selection and prediction
A Bayesian model averaging (BMA) framework is presented to evaluate the worth of different
observation types and experimental design options for (1) more confidence in model …
observation types and experimental design options for (1) more confidence in model …
Microkinetic analysis of ethanol to 1, 3-butadiene reactions over MgO-SiO2 catalysts based on characterization of experimental fluctuations
Microkinetic analysis of ethanol to 1, 3-butadiene reactions over MgO-SiO 2 catalysts was
performed based on the detailed characterization of experimental fluctuations, taking into …
performed based on the detailed characterization of experimental fluctuations, taking into …
Data science for thermodynamic modeling: Case study for ionic liquid and hydrofluorocarbon refrigerant mixtures
The sustainable phaseout of high global warming potential hydrofluorocarbon (HFC)
refrigerant mixtures requires novel solvents, such as ionic liquids (ILs), for new HFC reuse …
refrigerant mixtures requires novel solvents, such as ionic liquids (ILs), for new HFC reuse …
[图书][B] Chemical reaction engineering: Parameter estimation, exercises and examples
M Schmal, JC Pinto - 2021 - taylorfrancis.com
The first English edition of this book was published in 2014. This book was originally
intended for undergraduate and graduate students and had one major objective: teach the …
intended for undergraduate and graduate students and had one major objective: teach the …
Parameter estimation and statistical methods
Parameter estimation procedures are very important in the chemical engineering field for
development of mathematical models, since design, optimization, and advanced control of …
development of mathematical models, since design, optimization, and advanced control of …
Hybrid algorithms for generating optimal designs for discriminating multiple nonlinear models under various error distributional assumptions
Finding a model-based optimal design that can optimally discriminate among a class of
plausible models is a difficult task because the design criterion is non-differentiable and …
plausible models is a difficult task because the design criterion is non-differentiable and …
A model-based methodology for the analysis and design of atomic layer deposition processes—Part II
A Holmqvist, T Törndahl, S Stenström - Chemical Engineering Science, 2013 - Elsevier
This paper demonstrates the experimental validation and mechanistic analysis of the
continuous cross-flow atomic layer deposition (ALD) reactor model developed in the first …
continuous cross-flow atomic layer deposition (ALD) reactor model developed in the first …
传统与未来的碰撞: 食品发酵工程技术与应用进展
张春月， 金佳杨， 邱勇隽， 范立强， 赵黎明 - 生物技术进展, 2021 - swjsjz.cn
随着生物技术的飞速发展, 作为食品生物工程的主要组成部分, 食品发酵工程技术不断升级,
在传统发酵食品的菌种, 发酵过程, 产品品质得到改善的同时, 生物制造的功能食品组分 …
在传统发酵食品的菌种, 发酵过程, 产品品质得到改善的同时, 生物制造的功能食品组分 …