TUdatalib : Auflistung Technische Universität Darmstadt nach Titel

Fabrication of biomimetic networks using viscous fingering in flexographic printing - secondary data

Rothmann-Brumm, Pauline; Fritschen, Anna; Doß, Lara; Doersam, Edgar; Blaeser, Andreas (2023-09)

Fast Axiomatic Attribution for Neural Networks

Hesse, Robin; Schaub-Meyer, Simone; Roth, Stefan (2021-12)

FeBeTo - Ferroelectric Bending Tongues modelling program

Cardoletti, Juliette (2020-11-03)

FEDI Dataset

Petrak, Dominic; Tran, Thy; Gurevych, Iryna (2024-02)

Oefner, Niklas; Shuck, Christopher E.; Schumacher, Leon; Heck, Franziska; Hofmann, Kathrin; Schmidpeter, Jana; Li, Weiqun; Barhi, Mounib; Mehdi, B. Layla; Drochner, Alfons; Albert, Barbara; Hess, Christian; Gogotsi, Yury; Etzold, Bastian J. M. (2023)

Figure 1 Influence CE size + WE loading

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Etzold, Bastian J.M. (2022)

Figure 1 ORR activity RDE, GDE + MEA IL modified Pt/C

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Trabold, Michael; Jeschonek, Katharina; Etzold, Bastian J.M. (2023)

Figure 2 Influence CE position

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Etzold, Bastian J.M. (2022)

Figure 2 Polarization curves GDE+MEA N modified PtC

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Trabold, Michael; Jeschonek, Katharina; Etzold, Bastian J.M. (2023)

Figure 2: Determination of the ECSA in RDE and GDE measurements

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Figure 3

Etzold, Bastian J. M.; Gogotsi, Yury; Hess, Christian; Albert, Barbara; Drochner, Alfons; Mehdi, B. Layla; Barhi, Mounib; Li, Weiqun; Schmidpeter, Jana; Hofmann, Kathrin; Leon, Schumacher; heck, Franziska; Schumacher, Leon; Shuck, Christopher E.; Oefner, Niklas (2023)

Figure 3 Comparison iR correction technique

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Etzold, Bastian J.M. (2022)

Figure 3 Voltage loss curves

Schmitt, Nicolai; Schmidt, Mareike; Mueller, Jonathan E.; Schmidt, Lasse; Trabold, Michael; Jeschonek, Katharina; Etzold, Bastian J.M. (2023)

Figure 3: Influence of the solvent composition of the catalyst ink

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Figure 4

Oefner, Niklas; Schuck, Christopher E.; Schumacher, Leon; Frankziska, Heck; Hofmann, Kathrin; Schmidpeter, Jana; Li, Weiqun; Barhi, Mounib; Mehdi, B. Layla; Drochner, Alfons; Albert, Barbara; Hess, Christian; Gogotsi, Yury; Etzold, Bastian J. M. (2023)

Figure 4: Temperature evolution of the cell electrolyte during application of ORR protocol 6a and ORR protocol 6b

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Figure 5: Electrochemical properties of GDEs with varying catalyst loadings.

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Figure 6: A) ORR polarization curves and B) mass specific activity (MSA) in oxygen atmosphere for varying catalyst loading on the GDE measured in 2 M HClO4 in O2-atmosphere by application of protocol 6b

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Figure 7: Influence of the electrolyte concentration on A) CVs in N2-atmosphere at 100 mV s-1 and B) the resulting ECSA (derived from H+- + CO-Stripping) for GDEs with a loading of 100 µgPt cm-2.

Schmitt, Nicolai; Schmidt, Mareike; Hübner, Gerold; Etzold, Bastian J.M. (2022-04-25)

Auflistung Technische Universität Darmstadt nach Titel

Fabrication of biomimetic networks using viscous fingering in flexographic printing - secondary data

FAIR data box demonstrator

Fast Axiomatic Attribution for Neural Networks

FeBeTo - Ferroelectric Bending Tongues modelling program

FEDI Dataset

Figue S2

Figure 1 Influence CE size + WE loading

Figure 1 ORR activity RDE, GDE + MEA IL modified Pt/C

Figure 2 Influence CE position

Figure 2 Polarization curves GDE+MEA N modified PtC

Figure 2: Determination of the ECSA in RDE and GDE measurements

Figure 3

Figure 3 Comparison iR correction technique

Figure 3 Voltage loss curves

Figure 3: Influence of the solvent composition of the catalyst ink

Figure 4

Figure 4: Temperature evolution of the cell electrolyte during application of ORR protocol 6a and ORR protocol 6b

Figure 5: Electrochemical properties of GDEs with varying catalyst loadings.

Figure 6: A) ORR polarization curves and B) mass specific activity (MSA) in oxygen atmosphere for varying catalyst loading on the GDE measured in 2 M HClO4 in O2-atmosphere by application of protocol 6b

Figure 7: Influence of the electrolyte concentration on A) CVs in N2-atmosphere at 100 mV s-1 and B) the resulting ECSA (derived from H+- + CO-Stripping) for GDEs with a loading of 100 µgPt cm-2.

Auflistung Technische Universität Darmstadt nach Titel

Fabrication of biomimetic networks using viscous fingering in flexographic printing - secondary data ﻿

FAIR data box demonstrator ﻿

Fast Axiomatic Attribution for Neural Networks ﻿

FeBeTo - Ferroelectric Bending Tongues modelling program ﻿

FEDI Dataset ﻿

Figue S2 ﻿

Figure 1 Influence CE size + WE loading ﻿

Figure 1 ORR activity RDE, GDE + MEA IL modified Pt/C ﻿

Figure 2 Influence CE position ﻿

Figure 2 Polarization curves GDE+MEA N modified PtC ﻿

Figure 2: Determination of the ECSA in RDE and GDE measurements ﻿

Figure 3 ﻿

Figure 3 Comparison iR correction technique ﻿

Figure 3 Voltage loss curves ﻿

Figure 3: Influence of the solvent composition of the catalyst ink ﻿

Figure 4 ﻿

Figure 4: Temperature evolution of the cell electrolyte during application of ORR protocol 6a and ORR protocol 6b ﻿

Figure 5: Electrochemical properties of GDEs with varying catalyst loadings. ﻿

Figure 6: A) ORR polarization curves and B) mass specific activity (MSA) in oxygen atmosphere for varying catalyst loading on the GDE measured in 2 M HClO4 in O2-atmosphere by application of protocol 6b ﻿

Figure 7: Influence of the electrolyte concentration on A) CVs in N2-atmosphere at 100 mV s-1 and B) the resulting ECSA (derived from H+- + CO-Stripping) for GDEs with a loading of 100 µgPt cm-2. ﻿

Fabrication of biomimetic networks using viscous fingering in flexographic printing - secondary data

FAIR data box demonstrator

Fast Axiomatic Attribution for Neural Networks

FeBeTo - Ferroelectric Bending Tongues modelling program

FEDI Dataset

Figue S2

Figure 1 Influence CE size + WE loading

Figure 1 ORR activity RDE, GDE + MEA IL modified Pt/C

Figure 2 Influence CE position

Figure 2 Polarization curves GDE+MEA N modified PtC

Figure 2: Determination of the ECSA in RDE and GDE measurements

Figure 3

Figure 3 Comparison iR correction technique

Figure 3 Voltage loss curves

Figure 3: Influence of the solvent composition of the catalyst ink

Figure 4

Figure 4: Temperature evolution of the cell electrolyte during application of ORR protocol 6a and ORR protocol 6b

Figure 5: Electrochemical properties of GDEs with varying catalyst loadings.

Figure 6: A) ORR polarization curves and B) mass specific activity (MSA) in oxygen atmosphere for varying catalyst loading on the GDE measured in 2 M HClO4 in O2-atmosphere by application of protocol 6b

Figure 7: Influence of the electrolyte concentration on A) CVs in N2-atmosphere at 100 mV s-1 and B) the resulting ECSA (derived from H+- + CO-Stripping) for GDEs with a loading of 100 µgPt cm-2.