The diagrams and questionnaires as applied in the VLL5d-study, submitted to MODELS 2017.The file "Diagrams.zip" contains all teh diagrams used in the experiment. The File "Diagrams with Questions" contains the diagrams together with the questions asked for each of them.The file "TowardsDiagramUnderstanding.pdf" contains the original MSc-thesis by Nick and Henrik who conducted the eye tracking sessions. It contains all the results, and very detailed descriptions.The files with the raw data will be published after the paper has been published, prominently, at least once.

The objective of this research is to create an automated design feedback workflow serving QTO for structural components using Dynamo, a BIM-assisted visual programming tool. A BPMN(Business Process Modeling Notation) Diagram drawn up with Visio software can clearly show the flow forms of data types and information between 'Client', 'Structure Engineer' and 'Estimator'; UML (Unified Modeling Language) Diagram can be used to classify, construct, document, interpret and visualize numerous elements of a dense system using a standardized language to make the data hierarchy clear and the information explicit; Revit Dynamo scripts are used to automate the design-feedback process; Detailed data of the study results are presented in Project Data.

Supplementary Research Data for the dissertation

"Comprehensive insights into the impedimetric characterization of dielectric thin films"

by Benedikt Sapotta

Important: The impedance spectra are disclosed as .DTA files which can be accessed with e.g. the text editor

Content

1 Estimation of IDE cell constant

• python script to calculate an IDE cell constant based on https://doi.org/10.1016/0925-4005(95)85053-8 #### 2 Estimation of effective permittivity of coated IDE
• python script to calculate the effective permittivity of a coated IDE structure base on https://doi.org/10.1016/j.sna.2011.09.033 and https://doi.org/10.1016/j.sna.2004.01.040
• functionality of the python script is demonstrated by reproducing figure 7 and 8 from https://doi.org/10.1016/j.sna.2011.09.033 #### 3 Uncoated IDE data
• light and scanning electron micrographs of the uncoated IDE structures
• impedance spectra discussed in chapter 5.2 together with the data fit results using ECM 1
• impedance spectra and evaluation procedure discussed in chapter 5.3
  • python scripts to compute the reference conductivities "Expected Conductivities.py" and reference permittivities "Expected Permittivities.py"
  • data fit results to the aqueous KCl solutions copied into an excel file
  • python script to compute the capacitance C_Par+C_Geo from the DRM impedance spectra "Capacitance_Calculator.py"
  • python script to compute the relative permittivities of the DRMs from C_Par+C_Geo "Permittivity_Calculator.py"
  • python script to compute the electrolytic condudctivity of the CRMs from the R_E best fit estimates "Conductivity_Calculator.py" #### 4 HKUST-1 coated IDE data
• data and evaluation procedures for the coated 5 µm electrode chip discussed in chapter 6.1
  • impedance spectra collected with the
  • DRMs: 1-butanol, ethanol and air to obtain C_Par and K_Cell of the electrode chip
  • linker precursor solution as a function of the growth cycles (1-205)
  • metal precursor solution as a function of the growth cycles (1-205)
  • ECM 2 fit results to the metal and linker data copied into the excel file "ECM_2_BatchFit_Results.xlsx"
  • an animated bode plot of the linker and metal impedance spectra
  • python script for the monte carlo modelling to obtain the coating permittivities and thickness based on the impedance data "MC_modelling_growth_data.py"
  • a simplified data flow chart as .png to facilitate the understanding of "MC_modelling_growth_data.py"
  • an assortment of scanning electron micrographs depicting the coated IDE structures
• data and evaluation procedures for the coated 10 µm electrode chip discussed in chapter 6.2
  • python script which was used for the automated uptake of impedance spectra during the HKUST-1 coating process "SURSENSOR.py"
  • impedance data (FS= full impedance spectrum, SF= single frequency impedance data) collected with the
  • DRMs: 1-butanol, ethanl and air to obtain C_Par and K_Cell
  • linker precursor solution as a function of the growth cycle (1-200)
  • spectra were recorded after the 300, 600 and 900 seconds after the initial exposure to the linker solution, only the 900 s data was evaluated
  • single frequency impedance data was recorded during the initial 300 seconds of the linker solution exposure step at 100 kHz
  • metal precursor solution as a function of the growth cycle (1-200)
  • spectra were recorded after 200, 400 and 600 seconds after initial exposure to the metal solution, only the 600 s data was evaluated
  • single frequency impedance data was recorded during the initial 200 seconds of the metal solution exposure step at 100 kHz
  • testing solutions as a function of the growth cycle
  • spectra were recorded after 180, 240 and 300 seconds after initial exposure to the respective testing solution, only the 300 s data was evaluated
  • single frequency impedance data was recorded during the initial 180 seconds of each testing solution exposure step at 1 MHz
  • ECM 2 fit results to the metal and linker data copied into the excel file "Growth_Data_BatchFit_Results.xlsx"
  • ECM 1 fit results to the testing solution spectra recorded before the HKUST-1 coating process copied into the excel file "Cycle_0_DataFits.xlsx"
  • ECM 2 fit results to the testing solution spectra recorded with the HKUST-1 coated electrode structure copied into the excel files "Cycle_50DataFits.xlsx", "Cycle_100_Data_Fits.xlsx", "Cycle 150 Data Fits.xlsx" and "Cycle_200DataFits.xlsx",
  • python script for the monte carlo modelling to obtain the coating permittivities and conductivities during the exposure with the testing solutions "MC_modelling_testing_data.py" which is an extension of "MC_modelling_growth_data.py"
  • a simplified data flow chart as .png to facilitate the understanding of "MC_modelling_testing_data.py"
  • python scripts to compute the testing solution permittivities "Medium_RelativePermittvity_Calculator.py" and conductivities "Medium_Conductivity_Calculator.py"
  • an assortment of scanning electron micrographs depicting the coated IDE structures #### 5 ZIF-8 coated IDE data
• impedance spectra collected with the
  • uncoated 10 µm electrode chips and the DRMs: 1-butanol, ethanol and air to obtain C_Par and K_Cell
  • ZIF-8 coated 10 µm electrode chip and the testing media: air, ethanol and 1 mM KCl dissolved in ethanol
• an assortment of scanning electron micrographs depicting the ZIF8-coating on the IDE structures as well as on the silicon and gold surfaces