Data from: Role of ionization energy on mixed conduction in polythiophene-derived polyelectrolyte complexes
Data files
Jul 14, 2025 version files 14.26 MB
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Figures.zip
14.22 MB
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README.md
24.57 KB
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README.txt
24.65 KB
Abstract
Conjugated polyelectrolyte complexes formed by the electrostatic compatibilization between a conjugated and an insulating polyelectrolyte are a versatile design platform for highly processable, high-performing polymeric mixed ion−electron conductors. While electrostatic mediation in complexes allows for structure and property control, a fundamental understanding of how the properties of the constituent conjugated polyelectrolyte (CPE) translate to the resulting complex performance is necessary for future designs. To investigate the role of CPE architecture on the overall charge transport properties of the resulting complex properties, here we compare a water-soluble cationic poly(alkoxythiophene) derivative based on poly(3-alkoxy-4-methylthiophene) with an imidazolium pendant unit and bromide counterion to an analogous complex with poly(sodium 4-styrenesulfonate). Through spectroscopic, morphological, electrochemical, and charge transport characterization, we find that poly(alkoxythiophene)-based complexes exhibit high mixed conductivity, enhanced electrochemical stability, improved doping efficiency, and lower oxidation potential, relative to previously reported poly(3-alkylthiophene)-based complexes, making them more suitable candidates for electrochemical applications. Importantly, both CPE and complex films based on the poly(3-alkoxy-4-methylthiophene) chemistry display electronic conductivities on the order of 10−2−10−3 S/cm and impressive ionic conductivities up to the order of 10−4 S/cm, despite the ordered morphology of the 3-alkoxy-4-methylthiophene backbone. We make a key observation that the enhancement of the electronic conductivity of the CPE from an alkyl to alkoxythiophene backbone does not necessarily improve the electronic conduction of the resulting complex as observed in previous reports, thereby underscoring the role of complexation thermodynamics, dielectric strength of the electrostatic complex, and complex morphology on mixed conduction. This study provides fundamental insights governing future design rules of mixed-conducting polyelectrolyte complexes for next-generation energy applications.
This README.txt file was generated on 2025-06-20 by PRATYUSHA DAS
GENERAL INFORMATION
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Title of Dataset: Role of Ionization Energy on Mixed Conduction in Polythiophene-Derived Polyelectrolyte Complexes
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Author Information
A. Principal Investigator Contact Information
Name: Rachel A. Segalman
Institution: University of California, Santa Barbara
Address: Materials Research Laboratory, University of California, Santa Barbara, California 93106
Email: segalman@ucsb.eduB. Principal Investigator Contact Information
Name: Michael L. Chabinyc
Institution: University of California, Santa Barbara
Address: Materials Research Laboratory, University of California, Santa Barbara, California 93106
Email: mchabinyc@engineering.ucsb.eduC. Associate or Co-investigator Contact Information
Name: Pratyusha Das
Institution: University of California, Santa Barbara
Address: Materials Research Laboratory, University of California, Santa Barbara, California 93106
Email: pratyushadas@ucsb.eduD. Associate or Co-investigator Contact Information
Name: Alexandra Zele
Institution: University of California, Santa Barbara
Address: Materials Department, University of California, Santa Barbara, California 93106
Email: aazele@ucsb.eduE. Associate or Co-investigator Contact Information
Name: Ming-Pei Lin
Institution: University of California, Santa Barbara
Address: Department of Chemical Engineering, University of California, Santa Barbara, California 93106
Email: ming-pei@ucsb.eduF. Associate or Co-investigator Contact Information
Name: J. Tyler Mefford
Institution: University of California, Santa Barbara
Address: Department of Chemical Engineering, University of California, Santa Barbara, California 93106
Email: tmefford@ucsb.edu -
Date of data collection (single date, range, approximate date): 2024-04-11 to 2025-04-16
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Geographic location of data collection: Santa Barbara, CA, USA
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Information about funding sources that supported the collection of the data: The authors gratefully acknowledge funding support from the U.S. Department of Energy, Office of Science, Basic Energy Sciences, under award DE-SC0016390. The research reported here made use of shared facilities of the UC Santa Barbara Materials Research Science and Engineering Center (MRSEC, NSF DMR-2308708), a member of the Materials Research Facilities Network (https://www.mrfn.org). A portion of this work was performed in the UC Santa Barbara Nanofabrication Facility, an open-access laboratory. Grazing incidence wide-angle X-ray scattering was carried out at Stanford Synchrotron Radiation Lightsource (SSRL) at SLAC National Accelerator Laboratory, which receives support from the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences (Contract no. DE-AC02-76SF00515; beamline 11-3). J.T.M. and M.-P.L. acknowledge support from UCSB startup funds.
SHARING/ACCESS INFORMATION
- Licenses/restrictions placed on the data: N/A
- Links to publications that cite or use the data:
- Links to other publicly accessible locations of the data: N/A
- Links/relationships to ancillary data sets: N/A
- Was data derived from another source? No
- Recommended citation for this dataset: This dataset accompanies the article "Role of Ionization Energy on Mixed Conduction in Polythiophene-Derived Polyelectrolyte Complexes" by Pratyusha Das, Alexandra Zele, Ming-Pei Lin, J. Tyler Mefford, Michael L. Chabinyc, and Rachel A. Segalman in ACS Macro Letters in 2025 (https://doi.org/10.1021/acsmacrolett.5c00305).
DATA & FILE OVERVIEW
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File List: Files are organized into folders based on figure number from the corresponding manuscript and supporting information. Files are named as "Figure #.csv". Figures that are plotted and/or data fitted with Python code have additional files named as "Figure # Plotting/Model Fitting Description.ipynb".
A. Figure 2: Overlaid UV−visible absorbance spectra of undoped and 2 hrs doped OxyP-ImBr (CPE) and OxyP-ImPSS (complex). a. Figure 2.csv 1. Variables: Energy [eV], Absorbance [unitless] 2. Column names: Energy_OxyP-ImBr_Undoped (eV), Abs_OxyP-ImBr_Undoped (unitless), Energy_OxyP-ImBr_Doped (eV), Abs_OxyP-ImBr_Doped (unitless), Energy_OxyP-ImPSS_Undoped (eV), Abs_OxyP-ImPSS_Undoped (unitless), Energy_OxyP-ImPSS_Doped (eV), Abs_OxyP-ImPSS_Doped (unitless) 3. Figure 2 Plotting Code.ipynb B. Figure 3: Normalized photoluminescence spectra of the undoped CPE, OxyP-ImBr, and complex, OxyP-ImPSS. a. Figure 3.csv 1. Variables: Energy [eV], Normalized Photoluminescence Intensity [arb. units] 2. Column names: Energy_OxyP-ImBr_A1 (eV), Norm_PL_OxyP-ImBr_A1 (arb. units), Energy_OxyP-ImBr_A2 (eV), Norm_PL_OxyP-ImBr_A2 (arb. units), Energy_OxyP-ImBr_A3 (eV), Norm_PL_OxyP-ImBr_A3 (arb. units), Energy_OxyP-ImBr_A4 (eV), Norm_PL_OxyP-ImBr_A4 (arb. units), Energy_OxyP-ImPSS_B1 (eV), Norm_PL_OxyP-ImPSS_B1 (arb. units), Energy_OxyP-ImPSS_B2 (eV), Norm_PL_OxyP-ImPSS_B2 (arb. units), Energy_OxyP-ImPSS_B3 (eV), Norm_PL_OxyP-ImPSS_B3 (arb. units) 3.Figure 3 Plotting Code_Averaged Spectra Without Gaussian Fits.ipynb C. Figure 4: Electronic conductivity of thin films of OxyP-ImBr (CPE) and thick films of OxyP-ImPSS (complex) as a function of solution doping time. a. Figure 4.csv 1. Variables: Time Doped [Minutes], Electronic Conductivity [S cm-1] 2. Column names: Time_Doped_OxyP-ImBr (min), Avg_Cond_OxyP-ImBr (S cm-1), Std_Dev_OxyP-ImBr (S cm-1), Time_Doped_OxyP-ImPSS (min), Avg_Cond_OxyP-ImPSS (S cm-1), Std_Dev_OxyP-ImPSS (S cm-1) 3. Figure 4 Plotting Code.ipynb D. Figure 5: Glass transition temperature-normalized ionic conductivity of OxyP-ImTFSI (CPE) and OxyP-ImPSS (complex) as a function of LiTFSI salt concentration and temperature, fit to the Vogel−Fulcher−Tammann (VFT) temperature dependence equation. a. Figure 5a.csv 1. Variables: 1000/(T-Tg+50) [K-1], Ionic Conductivity [S cm-1] 2. Column names: 1000/(T-Tg+50)_r_0_CPE (K-1), Avg_Cond_r_0_CPE (S cm-1), 1000/(T-Tg+50)_r_0.8_CPE (K-1), Avg_Cond_r_0.8_CPE (S cm-1), 1000/(T-Tg+50)_r_1.0_CPE (K-1), Avg_Cond_r_1.0_CPE (S cm-1) 3. Figure 5a Plotting Code.ipynb b. Figure 5b.csv 1. Variables: 1000/(T-Tg+50) [K-1], Ionic Conductivity [S cm-1] 2. Column names: 1000/(T-Tg+50)_r_0.4_Complex (K-1), Avg_Cond_r_0.4_Complex (S cm-1), 1000/(T-Tg+50)_r_0.6_Complex (K-1), Avg_Cond_r_0.6_Complex (S cm-1), 1000/(T-Tg+50)_r_0.8_Complex (K-1), Avg_Cond_r_0.8_Complex (S cm-1), 1000/(T-Tg+50)_r_1.0_Complex (K-1), Avg_Cond_r_1.0_Complex (S cm-1) 3. Figure 5b Plotting Code.ipynb E. Figure S1-S5: Nuclear Magnetic Resonance (NMR) spectra of synthesized small molecules (S1-S3) and polymers (S4-S5). a. Figure S1.csv 1. Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names: Chemical Shift (ppm), Intensity (arb. units) b. Figure S2.csv 1. Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names: Chemical Shift (ppm), Intensity (arb. units) c. Figure S3.csv 1. Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names: Chemical Shift (ppm), Intensity (arb. units) d. Figure S4.csv 1. Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names: Chemical Shift (ppm), Intensity (arb. units) e. Figure S5.csv 1. Variables: Chemical Shift [ppm], Intensity [arb. units] 2. Column names: Chemical Shift (ppm), Intensity (arb. units) F. Figure S7: Comparison of UV-vis absorbance spectra of films of undoped CPEs (OxyP-ImBr, OxyP-ImTFSI) and the complex (OxyP-ImPSS). a. Figure S7.csv 1. Variables: Energy [eV], Absorbance [arb. units] 2. Column names: Energy_OxyP-ImBr (eV), Abs_OxyP-ImBr (arb. units), Energy_OxyP-ImTFSI (eV), Abs_OxyP-ImTFSI (arb. units), Energy_OxyP-ImPSS (eV), Abs_OxyP-ImPSS (arb. units) 3. Figure S7 Plotting Code.ipynb G. Figure S8-S9: Normalized UV-Vis spectra of the undoped OxyP-ImBr (CPE) and undoped OxyP-ImPSS (complex) showing the modified Franck-Condon model deconvolution of their spectra. a. Figure S8.csv 1. Variables: Energy [eV], Absorbance [arb. units] 2. Column names: Energy_OxyP-ImBr (eV), Abs_OxyP-ImBr (arb. units) 3. Figure S8 Spano Model Fitting.ipynb b. Figure S9.csv 1. Variables: Energy [eV], Absorbance [arb. units] 2. Column names: Energy_OxyP-ImPSS (eV), Abs_OxyP-ImPSS (arb. units) 3. Figure S9 Spano Model Fitting.ipynb H. Figure S11,S13: 1D GIWAXS of undoped and electronically doped OxyP-ImBr (CPE) and OxyP-ImPSS (complex) films. a. Figure S11.csv 1. Variables: q [A-1], Intensity [arb. units] 2. Column names: q_OxyP-ImBr_Undoped (A-1), I_OxyP-ImBr_Undoped (arb. units), q_OxyP-ImBr_30min_Doped (A-1), I_OxyP-ImBr_30min_Doped (arb. units), q_OxyP-ImBr_2hrs_Doped (A-1), I_OxyP-ImBr_2hrs_Doped (arb. units) 3. Figure S11 Plotting Code.ipynb b. Figure S13.csv 1. Variables: q [A-1], Intensity [arb. units] 2. Column names: q_OxyP-ImPSS_Undoped (A-1), I_OxyP-ImPSS_Undoped (arb. units), q_OxyP-ImPSS_30min_Doped (A-1), I_OxyP-ImPSS_30min_Doped (arb. units), q_OxyP-ImPSS_2hrs_Doped (A-1), I_OxyP-ImPSS_2hrs_Doped (arb. units) 3. Figure S13 Plotting Code.ipynb I. Figure S14,S15: Normalized photoluminescence spectra of OxyP-ImBr (CPE) and OxyP-ImPSS (Complex) showing the modified Franck-Condon model deconvolution of the spectra to fit HJ aggregation in polythiophene materials. a. Figure S14.csv 1. Variables: Energy [eV], Normalized Photoluminescence Intensity [arb. units] 2. Column names: Energy_OxyP-ImBr (eV), Norm_PL_OxyP-ImBr (arb. units) 3. Figure S14 with Franck-Condon Fitting.ipynb b. Figure S15.csv 1. Variables: Energy [eV], Normalized Photoluminescence Intensity [arb. units] 2. Column names: Energy_OxyP-ImPSS (eV), Norm_PL_OxyP-ImPSS (arb. units) 3. Figure S15 with Franck-Condon Fitting.ipynb J. Figure S16,S17: Comparison of representative Cyclic Voltammetry (CV) traces of CPE (OxyP-ImBr) and complex (OxyP-ImPSS) at 20 mV/s, and stability of OxyP-ImPSS complex over 100 cycles at 10 mV/s. a. Figure S16a.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr (V vs. Ag/AgCl), Current_OxyP-ImBr (mA), Voltage_OxyP-ImPSS (V vs. Ag/AgCl), Current_OxyP-ImPSS (mA) b. Figure S16b.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS (V vs. Ag/AgCl), Current_OxyP-ImPSS (mA) c. Figure S17.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr (V vs. Ag/AgCl), Current_OxyP-ImBr (mA), Voltage_OxyP-ImPSS (V vs. Ag/AgCl), Current_OxyP-ImPSS (mA) K. Figure S18,S20: Cyclic Voltammograms of OxyP-ImBr and OxyP-ImPSS at various scan rates. a. Figure S18a.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_10mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_10mV/s (mA) b. Figure S18b.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_20mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_20mV/s (mA) c. Figure S18c.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_50mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_50mV/s (mA) d. Figure S18d.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_100mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_100mV/s (mA) e. Figure S20a.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_10mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_10mV/s (mA) f. Figure S20b.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_20mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_20mV/s (mA) g. Figure S20c.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_50mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_50mV/s (mA) h. Figure S20d.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_100mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_100mV/s (mA) L. Figure S19,S21: Cyclic Voltammograms of the CPE, OxyP-ImBr and the complex OxyP-ImPSS at a scan rate of 20 mV/s with increasing potential windows up to 0.9 V vs Ag/AgCl. a. Figure S19.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImBr_20mV/s (V vs. Ag/AgCl), Current_OxyP-ImBr_20mV/s (mA) b. Figure S21.csv 1. Variables: Voltage [V vs. Ag/AgCl], Current [mA] 2. Column names: Voltage_OxyP-ImPSS_20mV/s (V vs. Ag/AgCl), Current_OxyP-ImPSS_20mV/s (mA) M. Figure S22: Representative Current-Voltage profiles for DC electronic conductivity measurement of 5 minutes doped OxyP-ImBr (CPE) and OxyP-ImPSS (Complex) with voltage sweep from of -0.5 to 0.5 V. a. Figure S22a.csv 1. Variables: Voltage [V], Current [µA] 2. Column names: Voltage_OxyP-ImBr_5min_Doped (V), Current_OxyP-ImBr_5min_Doped (µA) b. Figure S22b.csv 1. Variables: Voltage [V], Current [µA] 2. Column names: Voltage_OxyP-ImPSS_5min_Doped (V), Current_OxyP-ImPSS_5min_Doped (µA) c. Figure S22 Plotting Code.ipynb N. Figure S23: Representative Nyquist plot for OxyP-ImTFSI with r=0.8 LiTFSI salt-loading at ~30 °C, between two symmetric blocking electrodes. a. Figure S23.csv 1. Variables: Real(Complex Impedance) [Ohm], Imaginary(Complex Impedance) [Ohm] 2. Column names: Re (Z)_OxyP-ImTFSI_r_0.8_30C (Ohm), Im (Z)_OxyP-ImTFSI_r_0.8_30C (Ohm) O. Figure S24: Ionic conductivity of OxyP-ImTFSI (CPE) and OxyP-ImPSS (complex) as a function of LiTFSI salt concentration and temperature. a. Figure S24a.csv 1. Variables: 1000/T [K-1], Ionic Conductivity [S cm-1] 2. Column names: 1000/T_OxyP-ImTFSI_r_0 (K-1), Avg_Cond_OxyP-ImTFSI_r_0 (S cm-1), 1000/T_OxyP-ImTFSI_r_0.2 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.2 (S cm-1), 1000/T_OxyP-ImTFSI_r_0.4 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.4 (S cm-1), 1000/T_OxyP-ImTFSI_r_0.6 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.6 (S cm-1), 1000/T_OxyP-ImTFSI_r_0.8 (K-1), Avg_Cond_OxyP-ImTFSI_r_0.8 (S cm-1), 1000/T_OxyP-ImTFSI_r_1.0 (K-1), Avg_Cond_OxyP-ImTFSI_r_1.0 (S cm-1) b. Figure S24b.csv 1. Variables: 1000/T [K-1], Ionic Conductivity [S cm-1] 2. Column names: 1000/T_OxyP-ImPSS_r_0.4 (K-1), Avg_Cond_OxyP-ImPSS_r_0.4 (S cm-1), 1000/T_OxyP-ImPSS_r_0.6 (K-1), Avg_Cond_OxyP-ImPSS_r_0.6 (S cm-1), 1000/T_OxyP-ImPSS_r_0.8 (K-1), Avg_Cond_OxyP-ImPSS_r_0.8 (S cm-1), 1000/T_OxyP-ImPSS_r_1.0 (K-1), Avg_Cond_OxyP-ImPSS_r_1.0 (S cm-1) P. Figure S25: Glass transition temperature measurements via Differential Scanning Calorimetry for the neat CPEs, OxyP-ImBr and OxyP-ImTFSI. a. Figure S25.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W min g-1 °C-1] 2. Column names: Temperature_OxyP-ImBr (DegC), Normalized Heat Flow_OxyP-ImBr (W min g-1 DegC-1), Temperature_OxyP-ImTFSI (DegC), Normalized Heat Flow_OxyP-ImTFSI (W min g-1 DegC-1) Q. Figure S26,S27: Glass transition temperature measurements via Differential Scanning Calorimetry for the neat OxyP-ImBr and the neat OxyP-ImTFSI at various heating rates. a. Figure S26.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temperature_OxyP-ImBr_1Cpm (DegC), Normalized Heat Flow_OxyP-ImBr_1Cpm (W g-1), Temperature_OxyP-ImBr_10Cpm (DegC), Normalized Heat Flow_OxyP-ImBr_10Cpm (W g-1), Temperature_OxyP-ImBr_20Cpm (DegC), Normalized Heat Flow_OxyP-ImBr_20Cpm (W g-1), Temperature_OxyP-ImBr_50Cpm (DegC), Normalized Heat Flow_OxyP-ImBr_50Cpm (W g-1) b. Figure S27.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temperature_OxyP-ImTFSI_1Cpm (DegC), Normalized Heat Flow_OxyP-ImTFSI_1Cpm (W g-1), Temperature_OxyP-ImTFSI_10Cpm (DegC), Normalized Heat Flow_OxyP-ImTFSI_10Cpm (W g-1), Temperature_OxyP-ImTFSI_20Cpm (DegC), Normalized Heat Flow_OxyP-ImTFSI_20Cpm (W g-1), Temperature_OxyP-ImTFSI_50Cpm (DegC), Normalized Heat Flow_OxyP-ImTFSI_50Cpm (W g-1) R. Figure S28,S29: Glass transition temperature measurements via Differential Scanning Calorimetry for OxyP-ImTFSI with various LiTFSI salt loadings (r = 0.8, 1.0). a. Figure S28.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_SecHeat (DegC), Norm Heat Flow_SecHeat (W g-1), Temp_SecCool (DegC), Norm Heat Flow_SecCool (W g-1), Temp_ThirdHeat (DegC), Norm Heat Flow_ThirdHeat (W g-1) b. Figure S29.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_SecHeat (DegC), Norm Heat Flow_SecHeat (W g-1), Temp_SecCool (DegC), Norm Heat Flow_SecCool (W g-1), Temp_ThirdHeat (DegC), Norm Heat Flow_ThirdHeat (W g-1) S. Figure S30: Combined plot of the glass transition temperature measurements via Differential Scanning Calorimetry for OxyP-ImPSS (complex) with various LiTFSI salt loadings. a. Figure S30.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W min g-1 °C-1] 2. Column names: Temp_OxyP-ImPSS_r_0 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_0 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_0.4 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_0.4 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_0.6 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_0.6 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_0.8 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_0.8 (W min g-1 DegC-1), Temp_OxyP-ImPSS_r_1.0 (DegC), Normalized Heat Flow_OxyP-ImPSS_r_1.0 (W min g-1 DegC-1) T. Figure S31-S35: Glass transition temperature measurements via Differential Scanning Calorimetry for OxyP-ImPSS (complex) with various LiTFSI salt loadings at various heating rates. a. Figure S31.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_OxyP-ImPSS_r_1.0_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_1Cpm (W g-1), Temp_OxyP-ImPSS_r_1.0_10Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_10Cpm (W g-1), Temp_OxyP-ImPSS_r_1.0_20Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_20Cpm (W g-1), Temp_OxyP-ImPSS_r_1.0_50Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_1.0_50Cpm (W g-1) b. Figure S32.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_OxyP-ImPSS_r_0.8_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_1Cpm (W g-1), Temp_OxyP-ImPSS_r_0.8_10Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.8_20Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.8_50Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.8_50Cpm (W g-1) c. Figure S33.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_OxyP-ImPSS_r_0.6_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_1Cpm (W g-1), Temp_OxyP-ImPSS_r_0.6_10Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.6_20Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.6_50Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.6_50Cpm (W g-1) d. Figure S34.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_OxyP-ImPSS_r_0.4_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_1Cpm (W g-1), Temp_OxyP-ImPSS_r_0.4_10Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0.4_20Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0.4_50Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0.4_50Cpm (W g-1) e. Figure S35.csv 1. Variables: Temperature [°C], Normalized Heat Flow [W g-1] 2. Column names: Temp_OxyP-ImPSS_r_0_1Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0_1Cpm (W g-1), Temp_OxyP-ImPSS_r_0_10Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0_10Cpm (W g-1), Temp_OxyP-ImPSS_r_0_20Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0_20Cpm (W g-1), Temp_OxyP-ImPSS_r_0_50Cpm (DegC), Norm Heat Flow_OxyP-ImPSS_r_0_50Cpm (W g-1)
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Relationship between files, if important: N/A
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Additional related data collected that was not included in the current data package: N/A
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Are there multiple versions of the dataset? No
METHODOLOGICAL INFORMATION
- Description of methods used for collection/generation of data: Please refer to supporting information document for methodology of data generation and collection.
- Methods for processing the data: Please refer to supporting information document for methodology of data processing.
- Instrument- or software-specific information needed to interpret the data: All NMR data were processed using MestReNova (Version: 14.3.1-31739). All figure plots in the manuscript and the supporting information were plotted either using Igor Pro 8 (Version: 8.04, Build 34722) or using Python Code in Visual Studio Code (Version: 1.101.0).
- Standards and calibration information, if appropriate: N/A
- Environmental/experimental conditions: N/A
- Describe any quality-assurance procedures performed on the data: N/A
- People involved with sample collection, processing, analysis and/or submission: Pratyusha Das, Alexandra Zele, Ming-Pei Lin, J. Tyler Mefford, Michael L. Chabinyc, Rachel A. Segalman