Data and Figures

This document is intended to act as a guide to the contents of this data package. A folder is provided for each figure in both the main article and supplementary information. Within each folder is a data folder containing all the data displayed in that figure. Also included is the python script used to generate the parts of the figure containing numerical data.

Please note that where figures contained data republished with permission from a third-party (3, 5, 6, S33), this data has been removed from both the data folder and the figure files included in this repository.

For information regarding experimental protocols and data analysis methods, please refer to the methods section and supplementary information for the publication.

Contents

Index

Within each data folder are a series of .csv files containing numerical data. The index below indicates what data is included in each file and where it appears on the final figure.

Main Article

Figure 1

diftes thin film and pentacene single crystal characterisation

Figure 2

triplet-pair emission in diftes

Figure 3

TRPL of diftes at 100K

Figure 4

excited state dynamics in diftes

Figure 5

PL spectra of pentacene single crystals

Figure 6

TRPL of pentacene single crystals

Supplementary Information

Figure S1

GIWAXS analysis and AFM image of a diftes thin film

Figure S2

photograph of PVT furnace during first sublimation of pentacene

Figure S3

microscope images and thicknesses of all pentacene single crystals

Figure S4

terraces on the surface of a pentacene single crystal

Figure S5

spectral sensitivity of the iCCD camera

Figure S6

temperature-dependent absorption and PL of diftes

Figures S7-S12

TRPL and MCR-ALS species extraction for diftes

Figure S13

transient absorption of diftes thin film and dilute solution at RT

Figure S14

kinetic modelling of diftes at 100K: simple 3 state model

Figure S15

kinetic modelling of diftes at 100K: simple 3 state model including monomolecular triplet recombination

Figure S16

kinetic modelling of diftes: as in main text

Figure S17

kinetic modelling of diftes: as in main text but without spin-lattice relaxation

Figures S18-S23

rate constant error analysis for diftes

Figure S24

demonstration that TTA does not populate triplet-pairs via S1 in diftes at 100K

Figure S25

sensitised TTA in diftes at 100K

Figure S26

microscope image of dropcast diftes sample

Figure S27

reproducability of measured magnetic field effect in diftes

Figure S28

magnetic field effect in diftes with simulation using model from main text

Figure S29

magnetic field effect in diftes with simulation using model from Figure S24

Figure S30

magnetic field effect in diftes with simulation using Merrifield's model

Figure S31

further variation of parameters for optimum magnetic field simulation

Figure S32

excimers in diftes at 250K

Figure S33

comparison of pentacene redshifted emission with literature

Figure S34

pentacene single crystal kinetics (raw delayed spectra)

Figure S35

pentacene single crystal time-gated intensity dependence (raw data)

Figure Generation

Figure parts containing numerical data were produced in .svg format using the python plotting library matplotlib. Inkscape was then used to assemble multi-panel figures. Any microscope images and photographs were included as rasterised objects. The python scripts used to produce figure panels containing numerical data are provided in each figure folder.

You will need an installation of python 3 (I used 3.8.5) on your machine in order to run the scripts. If you do not already have one, I recommend installing miniconda.

You will need the following standard packages (my versions in brackets):

You will also need a package called usefulfunctions which you can download and install following the instructions here.

To generate parts of a figure, run for example:

cd Figure 2
python fig2.py

Analysis and Simulation Code

Code to perform the simulations in Figures 4 and 6 is available here. A more complete python package for kinetic modelling of singlet fission systems is under development here. The python application that I used to process TRPL data taken with the iCCD camera can be found here. MCR-ALS is freely available here as a Matlab GUI. The package used to perform Franck-Condon fitting is available here.