Optimal experiment design under parametric uncertainty: A comparison of a sensitivities based approach versus a polynomial chaos based stochastic approach
Sign Up to like & getrecommendations! Published in 2020 at "Chemical Engineering Science"
DOI: 10.1016/j.ces.2020.115651
Abstract: Abstract In order to estimate parameters accurately in nonlinear dynamic systems, experiments that yield a maximum of information are invaluable. Such experiments can be obtained by exploiting model-based optimal experiment design techniques, which use the… read more here.
Keywords: information; optimal experiment; experiment design; polynomial chaos ... See more keywords
Geophysical imaging of buried human remains in simulated mass and single graves: Experiment design and results from pre-burial to six months after burial.
Sign Up to like & getrecommendations! Published in 2022 at "Forensic science international"
DOI: 10.1016/j.forsciint.2022.111289
Abstract: In this study, we present an experiment design and assess the capability of multiple geophysical techniques to image buried human remains in mass and individual graves using human cadavers willingly donated for scientific research. The… read more here.
Keywords: individual graves; mass; mass grave; buried human ... See more keywords
Model-Based Optimal Experiment Design for Nonlinear Parameter Estimation Using Exact Confidence Regions
Sign Up to like & getrecommendations! Published in 2017 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2017.08.2567
Abstract: Abstract Optimal experiment design is usually performed as a search over a finitely-parameterized shape that (over-) approximates the confidence region of parameters of a model. In general, there exists no such shape to exactly enclose… read more here.
Keywords: confidence region; optimal experiment; experiment design; problem ... See more keywords
Experiment design driven FAIRification of omics data matrices, an exemplar
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Data"
DOI: 10.1038/s41597-019-0286-0
Abstract: We outline a principled approach to data FAIRification rooted in the notions of experimental design, and whose main intent is to clarify the semantics of data matrices. Using two related metabolomics datasets associated to journal… read more here.
Keywords: design driven; data matrices; experiment design; fairification ... See more keywords
Sequential Bayesian experiment design for optically detected magnetic resonance of nitrogen-vacancy centers.
Sign Up to like & getrecommendations! Published in 2020 at "Physical review applied"
DOI: 10.1103/physrevapplied.14.054036
Abstract: In magnetometry using optically detected magnetic resonance of nitrogen vacancy (NV-) centers, we demonstrate more than one order-of-magnitude speed up with sequential Bayesian experiment design as compared with conventional frequency-swept measurements. The NV- center is… read more here.
Keywords: sequential bayesian; bayesian experiment; experiment design; optically detected ... See more keywords
A Fast Smoothing-Based Algorithm to Generate l∞-Norm Constrained Signals for Multivariable Experiment Design
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Control Systems Letters"
DOI: 10.1109/lcsys.2021.3133655
Abstract: Handling peak amplitude constraints, or equivalently $l_{\infty }$ -norm constraints, is an important application demand in experiment design for system identification. The aim of this letter is to present a method for the design of… read more here.
Keywords: tex math; inline formula; design; experiment design ... See more keywords
Simple and Robust Experiment Design for System Identification Using Fractional Models
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2016.2614910
Abstract: This paper tackles the problems of simple and robust experiment design for system identification using elementary fractional models. It is based on a frequency domain approach and allows to determine the best sine input signal… read more here.
Keywords: robust experiment; design system; simple robust; experiment design ... See more keywords
Experiment Design Frameworks for Accelerated Discovery of Targeted Materials Across Scales
Sign Up to like & getrecommendations! Published in 2019 at "Frontiers in Materials"
DOI: 10.3389/fmats.2019.00082
Abstract: Over the last decade, there has been a paradigm shift away from labor-intensive and time-consuming materials discovery methods, and materials exploration through informatics approaches is gaining traction at present. Current approaches are typically centered around… read more here.
Keywords: frameworks accelerated; experiment design; design frameworks; materials discovery ... See more keywords
Investigating the Dimensional and Geometric Accuracy of Laser-Based Powder Bed Fusion of PA2200 (PA12): Experiment Design and Execution
Sign Up to like & getrecommendations! Published in 2021 at "Applied Sciences"
DOI: 10.3390/app11052031
Abstract: Variation management in additive manufacturing (AM) is progressively more important as technologies are implemented in industrial manufacturing systems; hence massive research efforts are focused on the modeling and optimization of process parameters and the effect… read more here.
Keywords: powder bed; based powder; laser based; geometric accuracy ... See more keywords
Trace chemical species in marine incubation experiments, part A. Experiment design and bacterial abundance control extracellular H 2 O 2 concentrations
Sign Up to like & getrecommendations! Published in 2018 at "Biogeosciences Discussions"
DOI: 10.5194/bg-2018-247
Abstract: The extracellular concentration of H 2 O 2 in surface aquatic environments is controlled by a balance between photochemical production and the microbial synthesis of catalase and peroxidase enzymes to remove H 2 O 2… read more here.
Keywords: extracellular concentrations; incubation; incubation experiments; bacterial abundance ... See more keywords