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@ARTICLE{NarayananKrishnamoorthy:1019516,
      author       = {Narayanan Krishnamoorthy, Anand and Wölke, Christian and
                      Diddens, Diddo and Maiti, Moumita and Mabrouk, Youssef and
                      Yan, Peng and Grünebaum, Mariano and Winter, Martin and
                      Heuer, Andreas and Cekic-Laskovic, Isidora},
      title        = {{D}ata‐{D}riven {A}nalysis of {H}igh‐{T}hroughput
                      {E}xperiments on {L}iquid {B}attery {E}lectrolyte
                      {F}ormulations: {U}nraveling the {I}mpact of {C}omposition
                      on {C}onductivity**},
      journal      = {Chemistry methods},
      volume       = {2},
      number       = {9},
      issn         = {2628-9725},
      address      = {Weinheim (Germany)},
      publisher    = {Wiley-VCH},
      reportid     = {FZJ-2023-05463},
      pages        = {e202200008},
      year         = {2022},
      abstract     = {A specially designed high-throughput experimentation
                      facility,used for the highly effective exploration of
                      electrolyte formulationsin composition space for diverse
                      battery chemistries andtargeted applications, is presented.
                      It follows a
                      high-throughputformulation-characterization-optimization
                      chain based on a setof previously established
                      electrolyte-related requirements. Here,the facility is used
                      to acquire large dataset of ionic conductivitiesof
                      non-aqueous battery electrolytes in the conducting
                      saltsolvent/co-solvent-additive composition space. The
                      measuredtemperature dependence is mapped on three
                      generalizedArrhenius parameters, including deviations from
                      simple activateddynamics. This reduced dataset is thereafter
                      analyzed bya scalable data-driven workflow, based on linear
                      and Gaussianprocess regression, providing detailed
                      information about thecompositional dependence of the
                      conductivity. Completeinsensitivity to the addition of
                      electrolyte additives for otherwiseconstant molar
                      composition is observed. Quantitativedependencies, for
                      example, on the temperature-dependentconducting salt content
                      for optimum conductivity are providedand discussed in light
                      of physical properties such as viscosityand ion association
                      effects.},
      cin          = {IEK-12},
      ddc          = {540},
      cid          = {I:(DE-Juel1)IEK-12-20141217},
      pnm          = {1222 - Components and Cells (POF4-122) / BIG-MAP - Battery
                      Interface Genome - Materials Acceleration Platform (957189)},
      pid          = {G:(DE-HGF)POF4-1222 / G:(EU-Grant)957189},
      typ          = {PUB:(DE-HGF)16},
      UT           = {WOS:001054525700004},
      doi          = {10.1002/cmtd.202200008},
      url          = {https://juser.fz-juelich.de/record/1019516},
}