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Engineering semiconducting polymers for efficient charge transport

Published online by Cambridge University Press:  26 June 2015

Scott Himmelberger
Affiliation:
Materials Science and Engineering, Stanford University, Stanford, California 94305
Alberto Salleo*
Affiliation:
Materials Science and Engineering, Stanford University, Stanford, California 94305
*
Address all correspondence to Alberto Salleo atasalleo@stanford.edu

Abstract

Electronic performance in semiconducting polymers has improved dramatically in recent years owing to a host of novel materials and processing techniques. Our understanding of the factors governing charge transport in these materials has also been enhanced through advancements in both experimental and computational techniques, with disorder appearing to play a central role. In this prospective, we propose that disorder is an inextricable aspect of polymer morphology which need not be highly detrimental to charge transport if it is embraced and planned for. We discuss emerging guidelines for the synthesis of polymers which are resilient to disorder and present our vision for how future advances in processing and molecular design will provide a path toward further increases in charge-carrier mobility.

Information

Type
Polymers/Soft Matter Prospective Articles
Copyright
Copyright © Materials Research Society 2015 
Figure 0

Figure 1. Evolution of semiconducting polymer mobility. Polymer mobility has improved by over six orders of magnitude in the last 30 years. Surprisingly, most of the recent gains have been made by weakly ordered donor–acceptor copolymers. The asterisk denotes materials aligned using a special technique.[15]

Figure 1

Figure 2. Schematic microstructures of semiconducting polymers. Representative of microstructure of (a) semicrystalline, (b) weakly ordered, and (c) amorphous polymer films. Polymers need a minimal amount of aggregation to allow intermolecular transport, while large-scale crystallinity is not necessary for efficient transport. Fast charge transport pathways are highlighted in red. Reproduced from Ref. 31 with permission from Macmillan Publishers Limited.

Figure 2

Figure 3. Effect of intrachain disorder on hopping distance. (a) Distribution of the hopping distances for different values of static disorder (σβ/β0) where β0 is the inter-monomer coupling (of the order of 1.0 eV for many semiconducting polymers) and σβ is the variance in inter-monomer coupling. (b) Dependence of the hopping range (R0/d) (defined from fitting the hopping range distribution) on the static disorder of the chain. R0 is the typical hopping distance and d is the inter-monomer spacing. Decreased disorder below what is typical in many semiconducting polymers (σβ/β0 = 0.1) leads to many more long-range hopping events. Reproduced from Ref. 36 with permission from the PCCP Owner Societies.

Figure 3

Figure 4. Time dependence of mobility for a model disordered semiconducting polymer. A Marcus theory-based model reveals two different regimes of mobility as a function of observation time, showing the different time and length scales for transport in an amorphous polymer. The model is in good qualitative agreement with experimental results from time-resolved electric-field-induced second-harmonic generation measurements (inset).[34] Reproduced from Ref. 39 with permission from the National Academy of Sciences.

Figure 4

Figure 5. Calculated DOS in PBTTT for different values of paracrystalline disorder (g). A Hamiltonian was constructed for a crystallite containing 50 π-stacked PBTTT chains. For each value of g, the energy eigenvalues and eigenfunctions were solved for and averaged over an ensemble of 104 crystallites to obtain the DOS in the tail region. Increasing levels of disorder lead to a greater number of deeper and more localized trap states which are detrimental to charge transport. The energy EVBM corresponds to the valence band maximum in a perfectly ordered crystalline region. Reproduced from Ref. 46 with permission from the American Physical Society.

Figure 5

Figure 6. Impact of persistence length on mobility for an infinitely long chain. The mobility, as measured by the diffusion coefficient, increases as persistence length increases and the relative importance of intermolecular transport decreases with increasing chain stiffness. Eventually the intermolecular transport rate becomes irrelevant in the rigid rod limit. Reproduced from Ref. 63 with permission from the American Chemical Society.

Figure 6

Figure 7. Resilience of torsion-free polymer backbone conformation to side-chain disorder. (a) Simulations of the backbone conformation of IDTBT and PBTTT in side-chain-disordered and non-interdigitated structures. (b) Simulation of the backbone conformation of IDTBT in the amorphous phase. A single chain from the simulated unit cell has been highlighted in yellow. (c) Calculated gas-phase torsion potentials of IDTBT and PBTTT. For PBTTT, the potential for torsion between the thiophene and thienothiophene units is shown. A significantly larger barrier to torsion is present in IDTBT than in PBTTT. Reproduced from Ref. 19 with permission from Macmillan Publishers Limited.

Figure 7

Figure 8. Molecular orbital temporal evolution in PBTTT. (a) The orbital density positions and shapes of HOMO and HOMO-1 at different MD simulation times between 80.0 and 80.5 ns. (b) The energy level of orbital HOMO-n (n = 0–4) as a function of MD simulation time in a lamella between 80.0 and 80.5 ns. PBTTT trap states are extremely short lived (of the order of transport time) and thus are likely not an impediment to charge transport. This property may explain the high mobility measured in PBTTT. (c) The orbital density positions and shapes, with energies of selected orbitals of PBTTT at t = 60 ns of the MD simulations. DFT calculations show that trap states delocalize rapidly as one moves away from the valence band edge into the band. Reproduced from Ref. 22 with permission from Wiley.

Figure 8

Figure 9. Effect of difference in on-site energy on band structure for a donor–acceptor copolymer. Diagram representing the energy levels (horizontal red segments) and their delocalization (length of the segment) for differences of on-site energy (Δ/β = 0, 1, 2) (left, center, right panel), where Δ and β are the energy difference and coupling between adjacent sites in the copolymer, respectively. The blue segments connect sites with particle currents (charge-transport events) exceeding a common threshold. The larger total particle current and increase in long-range hopping for Δ/β = 2 is due to the presence of more delocalized states near the bottom of the band. Reproduced from Ref. 68 with permission from Wiley.

Figure 9

Figure 10. Disorder and mobility for P3HT as a function of molecular weight. (a) The paracrystalline disorder parameter g is found to level off above 20 kDa. (b) Charge-carrier mobility plateaus at roughly the same point after the polymer microstructure is well connected and fully entangled. Reproduced from Ref. 26 with permission from Elsevier.

Figure 10

Figure 11. Design features necessary for high mobilities. The above design guidelines should be incorporated into new materials in order to engineer them with high mobilities and resilience to the disorder inherent to semiconducting polymers.