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quasi monte carlo sampling based on low-discrepancy sobol sequences  (MathWorks Inc)


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    MathWorks Inc quasi monte carlo sampling based on low-discrepancy sobol sequences
    Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of <t>Sobol</t> indices, under combined foreground/background uncertainty.
    Quasi Monte Carlo Sampling Based On Low Discrepancy Sobol Sequences, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quasi+monte+carlo+sampling+based+on+low-discrepancy+sobol+sequences/pmc10170515-169-18-10
    Average 90 stars, based on 1 article reviews
    quasi monte carlo sampling based on low-discrepancy sobol sequences - by Bioz Stars, 2026-08
    90/100 stars

    Images

    1) Product Images from "Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production"

    Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

    Journal: ACS Sustainable Chemistry & Engineering

    doi: 10.1021/acssuschemeng.3c00547

    Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.
    Figure Legend Snippet: Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

    Techniques Used:

    Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).
    Figure Legend Snippet: Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

    Techniques Used:



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    quasi monte carlo sampling based on low-discrepancy sobol sequences  (MathWorks Inc)
    90
    MathWorks Inc quasi monte carlo sampling based on low-discrepancy sobol sequences
    Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of <t>Sobol</t> indices, under combined foreground/background uncertainty.
    Quasi Monte Carlo Sampling Based On Low Discrepancy Sobol Sequences, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/quasi+monte+carlo+sampling+based+on+low-discrepancy+sobol+sequences/pmc10170515-169-18-10
    Average 90 stars, based on 1 article reviews
    quasi monte carlo sampling based on low-discrepancy sobol sequences - by Bioz Stars, 2026-08
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

    Journal: ACS Sustainable Chemistry & Engineering

    Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

    doi: 10.1021/acssuschemeng.3c00547

    Figure Lengend Snippet: Breakdown of the sampled variance of the lumped background parameters BEI z NaBF 4 in all three end-point impact categories in terms of Sobol indices, under combined foreground/background uncertainty.

    Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

    Techniques:

    Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

    Journal: ACS Sustainable Chemistry & Engineering

    Article Title: Global Sensitivity Analysis in Life-Cycle Assessment of Early-Stage Technology using Detailed Process Simulation: Application to Dialkylimidazolium Ionic Liquid Production

    doi: 10.1021/acssuschemeng.3c00547

    Figure Lengend Snippet: Breakdown of the sampled variance of each end-point impact EI z in terms of their first- and second-order Sobol indices for [BMIM][BF 4 ] (top) and [BMIM][PF 6 ] (bottom).

    Article Snippet: Sample generation for all these uncertain parameters is coordinated from Matlab using quasi Monte Carlo sampling based on low-discrepancy Sobol sequences and interfaced with Aspen-HYSYS for simulating the process flowsheets in each uncertainty scenario.

    Techniques: