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Computationally efficient identification of probabilistic design spaces through application of metamodeling and adaptive sampling

https://doi.org/10.1016/j.compchemeng.2019.106608
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Bayesian probabilistic modeling in pharmaceutical process development
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An index for operational flexibility in chemical process design. Part II: Computational algorithms
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Operational envelopes for batch processes
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Determination of operability limits using simplicial approximation
inferredcites →https://doi.org/10.1002/jps.22668openalex-snapshot
Advanced approach to build the design space for the primary drying of a pharmaceutical freeze‐drying process
inferredcites →https://doi.org/10.1002/wilm.10056openalex-snapshot
Construction and Comparison of High-Dimensional Sobol' Generators
inferredcites →https://doi.org/10.1007/978-1-62703-625-2_16openalex-snapshot
SOBOLHDMR: A General-Purpose Modeling Software
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Model-Guided Design Space Development for a Drug Substance Manufacturing Process
inferredcites →https://doi.org/10.1016/j.atmosenv.2007.11.018openalex-snapshot
Global sensitivity analysis of a 3D street canyon model—Part I: The development of high dimensional model representations
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A model based approach for identifying robust operating conditions for industrial chromatography with process variability
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Global sensitivity analysis and meta-modeling of an ethanol production process
inferredcites →https://doi.org/10.1016/j.ces.2015.06.014openalex-snapshot
Feasibility and flexibility analysis of black-box processes Part 1: Surrogate-based feasibility analysis
inferredcites →https://doi.org/10.1016/j.compchemeng.2010.03.006openalex-snapshot
Drug product modeling predictions for scale-up of tablet film coating—A quality by design approach
inferredcites →https://doi.org/10.1016/j.compchemeng.2013.12.013openalex-snapshot
Evolution of concepts and models for quantifying resiliency and flexibility of chemical processes
inferredcites →https://doi.org/10.1016/j.compchemeng.2018.04.021openalex-snapshot
A novel and systematic approach to identify the design space of pharmaceutical processes
inferredcites →https://doi.org/10.1016/j.cpc.2013.02.005openalex-snapshot
Metamodelling with independent and dependent inputs
inferredcites →https://doi.org/10.1016/j.ejpb.2011.09.014openalex-snapshot
Design space approach in the optimization of the spray-drying process
inferredcites →https://doi.org/10.1016/j.ejpb.2016.03.015openalex-snapshot
Uncertainty analysis as essential step in the establishment of the dynamic Design Space of primary drying during freeze-drying
inferredcites →https://doi.org/10.1016/j.ress.2007.04.002openalex-snapshot
Global sensitivity analysis using polynomial chaos expansions
inferredcites →https://doi.org/10.1016/j.ress.2018.12.004openalex-snapshot
Higher-order sensitivity analysis of a final repository model with discontinuous behaviour using the RS-HDMR meta-modeling approach
inferredcites →https://doi.org/10.1016/s0010-4655(98)00152-0openalex-snapshot
Efficient input—output model representations
inferredcites →https://doi.org/10.1016/s0098-1354(99)80218-xopenalex-snapshot
Batch process design and operation using operational envelopes
inferredcites →https://doi.org/10.1021/acs.oprd.5b00158openalex-snapshot
Definition of Design Spaces Using Mechanistic Models and Geometric Projections of Probability Maps
inferredcites →https://doi.org/10.1021/ef9012246openalex-snapshot
Multiscale Modeling of Hydrothermal Pretreatment: From Hemicellulose Hydrolysis to Biomass Size Optimization
inferredcites →https://doi.org/10.1021/ie5005652openalex-snapshot
Design Space Approach for Pharmaceutical Tablet Development
inferredcites →https://doi.org/10.1021/jp022500fopenalex-snapshot
Random Sampling−High Dimensional Model Representation (RS−HDMR) with Nonuniformly Distributed Variables: Application to an Integrated Multimedia/Multipathway Exposure and Dose Model for Trichloroethylene
inferredcites →https://doi.org/10.1021/op100209copenalex-snapshot
Application of Quality by Design Principles for the Definition of a Robust Crystallization Process for Casopitant Mesylate
inferredcites →https://doi.org/10.1021/op4001127openalex-snapshot
Model-Based Scale-up and Design Space Determination for a Batch Reactive Distillation with a Dean–Stark Trap
inferredcites →https://doi.org/10.1145/235815.235821openalex-snapshot
The quickhull algorithm for convex hulls
inferredcites →https://doi.org/10.1184/r1/6467234openalex-snapshot
Operability, Resiliency, and Flexibility: process design objectives for a changing world
inferredcites →https://doi.org/10.3390/pr7020096openalex-snapshot
An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Processes with Model Uncertainty

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Design Space Approximation with Gaussian Processes
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Multi-Parametric Programming for Design Space Identification
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inferred← citeshttps://doi.org/10.1016/j.compchemeng.2023.108555openalex-snapshot
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