Online optimal experimental re‐design in robotic parallel fed‐batch cultivation facilities
Sign Up to like & getrecommendations! Published in 2017 at "Biotechnology and Bioengineering"
DOI: 10.1002/bit.26192
Abstract: We present an integrated framework for the online optimal experimental re‐design applied to parallel nonlinear dynamic processes that aims to precisely estimate the parameter set of macro kinetic growth models with minimal experimental effort. This… read more here.
Keywords: experimental design; cultivation; fed batch; optimal experimental ... See more keywords
Multilevel double loop Monte Carlo and stochastic collocation methods with importance sampling for Bayesian optimal experimental design
Sign Up to like & getrecommendations! Published in 2020 at "International Journal for Numerical Methods in Engineering"
DOI: 10.1002/nme.6367
Abstract: An optimal experimental set‐up maximizes the value of data for statistical inferences. The efficiency of strategies for finding optimal experimental set‐ups is particularly important for experiments that are time‐consuming or expensive to perform. In the… read more here.
Keywords: loop monte; double loop; optimal experimental; multilevel double ... See more keywords
Design of a continuous-flow single-channel reactor using optimal experimental data from batch reactor for turbidity removal by electrocoagulation
Sign Up to like & getrecommendations! Published in 2020 at "Journal of environmental chemical engineering"
DOI: 10.1016/j.jece.2020.104651
Abstract: Abstract Electrocoagulation was used for turbidity removal from surface water in an internal loop airlift batch reactor. The turbidity removal efficiency of 72.05 % and energy consumption of 0.210 kW h/m3 were achieved using initial… read more here.
Keywords: reactor; optimal experimental; cfsc reactor; turbidity removal ... See more keywords
Optimizing parameters affecting synthesis of a novel Co–Mo/GO catalyst in a Naphtha HDS reaction utilizing D-optimal experimental design method
Sign Up to like & getrecommendations! Published in 2017 at "Journal of The Taiwan Institute of Chemical Engineers"
DOI: 10.1016/j.jtice.2017.06.048
Abstract: Abstract In this research effects of important synthesis parameters upon catalytic performance of a novel graphene based catalyst for an HDS reaction were investigated. The graphene oxide (GO) used as a support was initially prepared… read more here.
Keywords: experimental design; method; hds reaction; optimal experimental ... See more keywords
Accelerated knowledge discovery from omics data by optimal experimental design
Sign Up to like & getrecommendations! Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-18785-y
Abstract: How to design experiments that accelerate knowledge discovery on complex biological landscapes remains a tantalizing question. We present an optimal experimental design method (coined OPEX) to identify informative omics experiments using machine learning models for… read more here.
Keywords: experimental design; omics data; optimal experimental; knowledge discovery ... See more keywords
Parametric modeling and optimal experimental designs for estimating isobolograms for drug interactions in toxicology
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Biopharmaceutical Statistics"
DOI: 10.1080/10543406.2017.1397005
Abstract: ABSTRACT In toxicology and related areas, interaction effects between two substances are commonly expressed through a combination index evaluated separately at different effect levels and mixture ratios. Often, these indices are combined into a graphical… read more here.
Keywords: combination; optimal experimental; modeling optimal; parametric modeling ... See more keywords
Towards optimal experimental tests on the reality of the quantum state
Sign Up to like & getrecommendations! Published in 2017 at "New Journal of Physics"
DOI: 10.1088/1367-2630/aa54ab
Abstract: The Barrett–Cavalcanti–Lal–Maroney (BCLM) argument stands as the most effective means of demonstrating the reality of the quantum state. Its advantages include being derived from very few assumptions, and a robustness to experimental error. Finding the… read more here.
Keywords: reality quantum; towards optimal; optimal experimental; quantum state ... See more keywords
Deep reinforcement learning for optimal experimental design in biology
Sign Up to like & getrecommendations! Published in 2022 at "PLOS Computational Biology"
DOI: 10.1101/2022.05.09.491138
Abstract: The field of optimal experimental design uses mathematical techniques to determine experiments that are maximally informative from a given experimental setup. Here we apply a technique from artificial intelligence—reinforcement learning—to the optimal experimental design task… read more here.
Keywords: reinforcement learning; optimal experimental; experimental design; biology ... See more keywords
Practical Identifiability Analysis and Optimal Experimental Design for the Parameter Estimation of the ASM2d-Based EBPR Anaerobic Submodel
Sign Up to like & getrecommendations! Published in 2018 at "Mathematical Problems in Engineering"
DOI: 10.1155/2018/9201085
Abstract: Identifiability analysis is a precondition for reliable parameter estimation. Building on previous work on structural identifiability, this paper focuses on the practical identifiability and optimal experimental design (OED) of the EBPR anaerobic submodel. The nonnegative… read more here.
Keywords: parameter estimation; optimal experimental; identifiability; practical identifiability ... See more keywords