h1

% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@PHDTHESIS{AdattiEstvez:1021936,
      author       = {Adatti Estévez, Jorge Eduardo},
      othercontributors = {Lemme, Max C. and Ingebrandt, Sven},
      title        = {{C}haracterization of graphene flakes for their application
                      as a humidity sensor},
      school       = {Rheinisch-Westfälische Technische Hochschule Aachen},
      type         = {Dissertation},
      address      = {Aachen},
      publisher    = {RWTH Aachen University},
      reportid     = {RWTH-2025-09765},
      pages        = {1 Online-Ressource : Illustrationen},
      year         = {2025},
      note         = {Veröffentlicht auf dem Publikationsserver der RWTH Aachen
                      University; Dissertation, Rheinisch-Westfälische Technische
                      Hochschule Aachen, 2025},
      abstract     = {Humidity affects living organisms and non-living objects on
                      the planet, measuring it is essential. Graphene flake
                      networks are promising candidates for humidity sensing and
                      their fabrication is scalable. However, the road to
                      high-performance commercial sensors is challenging. Graphene
                      flake networks consist of randomly distributed graphene
                      flakes that are capable of forming continuous conductive
                      paths. They are fabricated by depositing dispersions
                      containing graphene flakes onto a substrate. The deposition
                      method strongly influences the resulting uniformity of the
                      flake network, which is key to performance. Furthermore, the
                      electrical properties of such networks are determined by the
                      random flake distribution and other random and often not
                      fully controllable features such as flake morphology, flake
                      size, and defect density. Understanding these is critical to
                      determine electrical behavior and sensing performance. This
                      work presents a thorough and statistical characterization of
                      three different types of graphene flakes and the networks
                      they form after spin-coating deposition. The
                      characterization includes structural and electrical aspects
                      and the correlation between the two. The structural
                      characterization comprises aspects such as flake size, flake
                      structural disorder, flake and flake network morphology, and
                      flake network adhesion. The electrical characterization was
                      enabled by measurement setups that were developed and
                      validated from scratch. In addition, a novel device
                      fabrication method for graphene flake devices was
                      demonstrated that yields highly uniform graphene flake
                      networks. The electrical characterization aimed to
                      understand the behavior of sheet resistance, electrical
                      noise, and Hall mobility. The results highlight the role of
                      flake-to-flake junctions and flake structure. Finally, a
                      humidity sensor was fabricated, characterized, and
                      optimized, showing a linear response with low detection
                      limit and suppressed resistance drift.},
      cin          = {618710},
      ddc          = {621.3},
      cid          = {$I:(DE-82)618710_20170609$},
      typ          = {PUB:(DE-HGF)11},
      doi          = {10.18154/RWTH-2025-09765},
      url          = {https://publications.rwth-aachen.de/record/1021936},
}