On the importance of crystal structures for organic thin film transistors

Schweicher, G.; Das, S.; Resel, R.; Geerts, Y.

doi:10.1107/S2053229624008283

best practice series

STRUCTURAL
CHEMISTRY

ISSN: 2053-2296

Volume 80| Part 10| October 2024|

https://doi.org/10.1107/S2053229624008283

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On the importance of crystal structures for organic thin film transistors

Guillaume Schweicher,^a Susobhan Das,^a Roland Resel ^b and Yves Geerts ^a,^c,^d ^*

^aUniversité Libre de Bruxelles (ULB), Faculté des Sciences, Laboratoire de chimie des polyméres, Boulevard du Triomphe, 1050 Bruxelles, Belgium, ^bInstitute of Solid State Physics, Graz University of Technology, Petersgasse 16, 8010 Graz, Austria, ^cUniversité Libre de Bruxelles (ULB), International Solvay Institutes of Physics and Chemistry, Boulevard du Triomphe, 1050 Bruxelles, Belgium, and ^dWEL Research Institute, avenue Pasteur 6, 1300 Wavre, Belgium
^*Correspondence e-mail: yves.geerts@ulb.be

Edited by A. R. Kennedy, University of Strathclyde, United Kingdom (Received 24 May 2024; accepted 22 August 2024; online 4 September 2024)

This article is part of the collection Best practice in crystallography.

Historically, knowledge of the molecular packing within the crystal structures of organic semiconductors has been instrumental in understanding their solid-state electronic properties. Nowadays, crystal structures are thus becoming increasingly important for enabling engineering properties, understanding polymorphism in bulk and in thin films, exploring dynamics and elucidating phase-transition mechanisms. This review article introduces the most salient and recent results of the field.

Keywords: organic semiconductor; electronic properties; organic thin film transistors; charge carrier mobility; crystal structure.

1. Introduction

The field of organic electronics relies on the use of organic compounds as semiconducting materials for the transport of either electrons (e⁻) or holes (h⁺) to perform logic operations and to convert light into electrical current or vice versa. Organic semiconductors are π-conjugated systems that are often flat and rigid. Two classes of organic semiconductors exist: polymers and low-molecular-weight compounds (Ostroverkhova, 2016 ). Macromolecules provide a fast lane for charge transport along their π-conjugated backbone, but charge hopping between chains is much slower which limits charge carrier mobility μ (cm² V⁻¹ s⁻¹). The latter is defined as the drift velocity of the charge carrier (cm s⁻¹) per unit applied electric field (V cm⁻¹) and serves as the figure of merit for benchmarking semiconductor performance. π-Conjugated polymers are only semicrystalline, meaning that some ordered and amorphous regions co-exist within the same sample, but also within the same macromolecular chain (Ding et al., 2023 ). Crystalline order is essential for efficient charge transport; for example, single-crystal silicon (μ = 1200 cm² V⁻¹ s⁻¹) exhibits a charge carrier mobility three times greater than amorphous films (μ = 1 cm² V⁻¹ s⁻¹) (Schweicher et al., 2020 ). Low-molecular-weight organic semiconductors generally show higher charge carrier mobility values than π-conjugated polymers, which is a result of their crystallinity (Sawatzki-Park et al., 2023 ). The fact that molecular semiconductors can completely crystallize paves the way to comprehensive studies on the role of molecular structure, crystal packing and crystal–lattice dynamics in charge transport (Fratini et al., 2020 ; Giannini & Blumberger, 2022 ). Notably, charge-transport studies on single crystals are particularly instructive for establishing reliable structure–property relationships (Gershenson et al., 2006 ; Liu et al., 2011 ; Takimiya et al., 2014 ; Iino et al., 2015 ; Fraboni et al., 2016 ; Tsurumi et al., 2017 ; Onwubiko et al., 2018 ; Wang et al., 2018 ; Yamamura et al., 2018 ; Zhang et al., 2018 ; He et al., 2018 ). As can be seen in Fig. 1, which presents a selection of good-performing organic semiconductors, solubilizing side groups are often linked to π-conjugated cores. However, side groups do much more than just confer solubility in common organic solvents. They are also essential for engineering crystal structures that majorly impact the transfer integrals J (meV), which quantify the extent of wave function overlap between adjacent π-systems (Anthony, 2006 , 2008 ; Coropceanu et al., 2007 ; Liu et al., 2011; Mas-Torrent & Rovira, 2011 ; Mitsui et al., 2014 ; Schweicher et al., 2014 , 2020; Yu et al., 2019 ; Jiang & Hu, 2020 ; Okamoto et al., 2020 ; Takimiya et al., 2024 ). In principle, the higher the value of J, the larger the value of μ. However, it is a necessary, but not sole, condition since lattice dynamics and the dimensionality of transport [one- (1D), two- (2D) or three-dimensional (3D)] also play major roles in the performance of semiconductors (Sundar et al., 2004 ; Schweicher et al., 2015 ; Illig et al., 2016 ). Static and dynamic disorder force charges to localize which substantially decreases charge carrier mobility (Fratini et al., 2016 ; Tsutsui et al., 2016 ; Schweicher et al., 2019 ; Banks et al., 2023 ). Finally, it is worth mentioning that thermal expansion coefficients along different crystallographic directions are instrumental for studying and understanding the temperature dependence of charge-transport properties (Li et al., 2012 , 2013 ; van der Lee et al., 2018 ; Jouclas et al., 2022 ). This review focuses on the link between the crystal structures of molecular semiconductors and their charge-transport properties. It is not the ambition to be comprehensive due to the many types of molecules and crystal structures in this field. However, it highlights the importance of crystallographic information for characterizing and understanding solid-state properties using some representative examples, mostly, but not exclusively, from our research groups (Rivnay et al., 2012 ).

Figure 1
A selection of some good-performing and historically important molecular semiconductors: pentacene (Mas-Torrent & Rovira, 2011

), rubrene (Menard et al., 2004

; Sundar et al., 2004

), 6,13-bis(triisopropylsilylethynyl)pentacene (TIPS-PEN) (Anthony et al., 2001

), 2,8-difluoro-5,11-bis(triethylsilylethynyl)anthradithiophene (diF-TES-ADT) (Subramanian et al., 2008

), dinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene (DNTT) (Takimiya et al., 2014

), dioctyldinaphtho[2,3-b:2′,3′-f]thieno[3,2-b]thiophene (C8-DNTT) (Kang et al., 2011

) and 1,3,6,8-tetrakis(methylthio)pyrene (MT-pyrene) (Takimiya et al., 2021

2. Molecular structure assessment

Materials chemists synthesizing organic semiconductors rely heavily on proton and carbon nuclear magnetic resonance (¹H and ¹³C NMR) and on UV–visible (UV–Vis) spectroscopy for assessing molecular structures (Takimiya et al., 2014; Anthony, 2008). These methods require, however, a minimum solubility in common organic solvents that nonsubstituted extended π-systems rarely possess. Mass spectrometry, which can be performed on powders, provides valuable information on parent ions and fragmentation fingerprints that give hints to the molecular structures, but which cannot be considered as sufficient proof itself. Despite the fact that nonsubstituted extended π-systems are rather insoluble, their high thermal stability allows their sublimation under high vacuum (Jiang & Kloc, 2013 ). In many cases, these π-systems form, from the vapour phase, high-quality crystals that are ideal for crystal structure determination by X-ray diffraction (Zhang et al., 2018). On the other hand, extended π-systems substituted by alkyl chains or other side groups allow the production of single-crystal domains through conventional or advanced solution-processing methods in the event of decent solubility in conventional solvents (Diao et al., 2014b ; Yamamura et al., 2018). Single crystals obtained from solution are equally suitable for structure solution by X-ray diffraction. Poor solubility combined with poor thermal stability will lead to a more challenging crystal structure determination. In some cases, the electron diffraction (ED) analysis of micron-sized or even submicron-sized crystals can help in solving a structure (Altoe et al., 2012 ; Gruene et al., 2021 ; Brázda et al., 2019 ). ED also provides information on crystal disorder and dynamics (Illig et al., 2016). In general, crystal structures offer the ultimate evidence of molecular identity when solution characterization methods are inoperative, as illustrated for DN4T in Fig. 2(a) (Jouclas et al., 2022). Importantly, this also holds true for assessing stereochemistry at the molecular and supramolecular levels. Fig. 2(b) shows the chiral supramolecular packing of the achiral DNTT core due to the presence of chiral alkyl side chains (Volpi et al., 2023 ).

Figure 2
The molecular structure of (a) DN4T and (b) chiral DNTT. (c)/(d) The corresponding crystallographic herringbone packing, defining the change in the dihedral angle, ultimately determined by solving the crystal structures. The chiral supramolecular arrangement of the achiral DNTT core induced by the chiral alkyl side chains is indicated (marked by red asterisks) (Volpi et al., 2023

3. Intermolecular and electronic interactions

Crystal structures contain a wealth of information that is particularly valuable for assessing the intermolecular interactions between adjacent molecules. The relative positions of π-systems, the intermolecular distances, the molecular volume and the number of crystallographically different molecules per unit cell originate from the delicate balance between attractive and repulsive intermolecular interactions (Sutton et al., 2016 ). Various types of attractive electrostatic intermolecular interactions are at play, such as hydrogen bonding, van der Waals forces and quadrupolar interactions. Intermolecular repulsion, explained by the Pauli exclusion principle, is far from being negligible as it accounts for molecular shape (Israelachvili, 2011 ). To deal with the complexity and the amount of information on intermolecular interactions within crystal structures, computing tools, such as fingerprint plots and Hirshfeld surfaces, are nowadays used routinely (Spackman & McKinnon, 2002 ; Spackman & Jayatilaka, 2009 ; Spackman, 2013 ; Niebel et al., 2015 ). Crystal structures are also exploited to calculate the above-mentioned transfer integrals (Coropceanu et al., 2007; Fratini et al., 2020). There exists, however, no general correlation between the relative positions and the intermolecular distances of π-systems with J values since the latter are determined by the extent of wave function overlap between adjacent molecules (Fratini et al., 2017 ). Transfer integrals assume values in the range 0–100 meV, while significantly larger values of up to 800 meV are encountered in disk-like molecules such as phthalocyanines (Tant et al., 2005 ). Transfer integral patterns are orbital specific. Notably, J value patterns for highest occupied molecular orbitals (HOMOs) and lowest unoccupied molecular orbitals (LUMOs) differ considerably (Brédas et al., 2002 ). Crystal structures also allow the calculation of intramolecular (local) and intermolecular (nonlocal) phonon modes that are essential for understanding the lattice dynamics within crystals (Bedoya-Martínez et al., 2017 ; Schweicher et al., 2019; Jouclas et al., 2022; Banks et al., 2023). Slow intermolecular vibrations, corresponding to 10–150 cm⁻¹ phonon modes, limit charge transport by inducing a fluctuating structural disorder causing the transfer integrals to adopt a wide distribution of values at room temperature (Fratini et al., 2016). Consequently, charge carriers get transiently localized over clusters of π-systems, resulting in charge carrier mobility values on the order of 10 cm² V⁻¹ s⁻¹ over long time and length scales. The situation differs radically at short time and length scales, i.e. 10⁻¹⁰ s and 100 nm, respectively. Under these conditions, the charge carrier mobility exceeds 100 cm² V⁻¹ s⁻¹ (Tsutsui et al., 2016; Giannini et al., 2023 ). The resulting localization length is determined by the crystal structure, phonon modes and temperature (Giannini et al., 2023). Crystal dynamics and, in particular, some specific intermolecular phonon modes, also trigger crystal-to-crystal phase transitions (vide infra) (Chung et al., 2018a ; Asher et al., 2022 , 2023 ; Ferrari et al., 2023 ). In any case, crystal structures are the essential inputs for many further studies. Note, however, that crystal structures do not provide all information regarding charge transport. Notably, crystal twisting, i.e. the formation of helical ribbons, with repetitive optical textures in the 1–100 µm range, also impacts charge transport (Yang et al., 2022 , 2024 ; Whittaker et al., 2023 ).

4. Crystal structure engineering

As the performance of molecular semiconductors depends jointly on their molecular identity and packing, chemists have engineered crystal structures that are categorized into four main groups, as shown in Fig. 3 (no sharp borders separate them). Note that other structural arrangements, such as sandwich herringbone packing, also exist, but they are less often encountered (Desiraju & Gavezzotti, 1989 ). The key design concept for crystal structures is to maximize the dimensionality of charge transport. One-dimensional (1D) semiconductors, i.e. when charge transport is efficient only along one specific crystallographic orientation, perform less well than two-dimensional (2D) semiconductors, which are more resilient to defects and allow the delocalization of charge carriers over a larger number of molecules (Skabara et al., 2013 ). Another important feature of the performance of organic devices is the thin film quality (Virkar et al., 2010 ). In general, brick-wall and herringbone arrangements tend to yield better thin films made of plate-like crystals (Wang et al., 2018). Materials chemists have mostly played with the size, shape and volume of electronically inert side groups for reaching the desired 2D charge transport inherent in herringbone and brick-wall arrangements, as illustrated in Figs. 3(a) and 3(d), respectively (Wang et al., 2018; Takimiya et al., 2021 ). This is probably best illustrated by the TIPS-PEN and diF-TES-ADT cases (see Fig. 1). Both molecules form p-type semiconductors because they preferentially transport h⁺ over e⁻. The steric demand of the inert triisopropylsilylethynyl side groups of TIPS-PEN allows the positioning of the pentacene core in a brick-wall arrangement that is the most favourable for charge transport because h⁺ can move along several pathways. Smaller or larger side groups fail to provide the necessary bulkiness for reaching the desired brick-wall arrangement (Anthony et al., 2001 ). The molecular design is even more elaborate for diF-TES-ADT, for which the best packing is reached through the steric demand of the triethylsilylethynyl side groups, i.e. slightly less than for TIPS-PEN, because the antradithiophene core has a lower volume than the pentacene core, but also via attractive interactions between the F and S atoms. Such precise molecular engineering work would have simply been impossible without the wealth of information provided by the solution of crystal structures (Subramanian et al., 2008 ). The same concept of optimizing crystal packing by side groups also applies to C8-DNTT and MT-Pyrene (Takimiya et al., 2011 , 2021). A slightly different approach consists in varying the position and number of substituents on π-conjugated cores, as illustrated in Fig. 4 for TCNQ, F2-TCNQ and F4-TCNQ. For these compounds also, the crystal structures have been essential in understanding why F2-TCNQ stands out as an exceptional n-type semiconductor, preferentially transporting e⁻ over h⁺, whereas TCNQ and F4-TCNQ perform rather poorly (Krupskaya et al., 2015 ; Shukla et al., 2019 ). The F2-TCNQ case shows that crystal structure elucidation enables much more than simply a discussion of packing. It allows an investigation of the physics of charge transport in organic semiconductors (Chernyshov et al., 2017 ; Sosorev, 2017 ; Ji et al., 2018 ). The next two sections with discuss polymorphism, which is the rival of crystal structure engineering.

Figure 3
Schematic illustration of the most encountered crystalline packing motifs of molecular semiconductors. The molecules bearing a plus (+) sign and their first neighbours are strongly connected electronically and are represented in dark grey. (a) The herringbone arrangement with charge transport dominated by edge-to-face interactions, (b) slipped π-stacking, (c) slipped-stack packing and (d) a brick-wall arrangement.

Figure 4
The molecular structures and a comparison of the crystallographic packing in the TCNQ family for (a) TCNQ, (b) F2-TCNQ and (c) F4-TCNQ. The molecular packing viewed along different crystallographic directions for (d)/(g) TCNQ, (e)/(h) F2-TCNQ and (f)/(i) F4-TCNQ. Note that F2-TCNQ has the superior transporting nature [highlighted by a coloured crown in the background in part (b)] within the family.

5. Polymorphism and charge transport

Polymorphism, defined as the occurrence of more than one crystal structure for a given molecule, is very common among organic compounds (Braga et al., 2010 ; Lecomte, 2021 ); organic semiconductors are no exception. Polymorphism offers the opportunity to study the influence of molecular packing in a crystal on charge transport for exactly the same organic semiconductor (Chung & Diao, 2016 ; Riera-Galindo et al., 2018 ; Gentili et al., 2019 ). In any case, crystal structures are of the upmost importance, as illustrated for the emblematic case of rubrene, for which three crystallographic forms are known (see Table 1). Only one of the three, i.e. orthorhombic rubrene, gives rise to a substantial charge carrier mobility value, on the order of 20 cm² V⁻¹ s⁻¹, illustrating once more the crucial importance of crystal structures on charge transport (da Silva Filho et al., 2005 ; Jurchescu et al., 2006 ; Bergantin & Moret, 2012 ; McGarry et al., 2013 ; Hathwar et al., 2015 ; Ren et al., 2017b ). Interestingly, the crystal structures and charge-transport properties have also been determined for the isotopically substituted rubrene-d₂₈ and the fully substituted ¹³C-rubrene (Xie et al., 2013 ; Ren et al., 2017a ). Polymorphism impacts also the properties of numerous other semiconductors, notably TIPS-PEN (Diao et al., 2014a ) and is widely considered as a phenomenon occurring in bulk. However, the presence of a substrate surface during the crystallization process has to be taken into account, as discussed below.

Table 1
Crystallographic data for three polymorphic forms of rubrene (Bergantin & Moret, 2012)

	Orthorhombic rubrene	Monoclinic rubrene	Triclinic rubrene
Temperature (K)	175	173	173
Formula	C₄₂H₂₈	C₄₂H₂₈	C₄₂H₂₈
Formula weight	532.68	532.64	532.64
Crystal system	Orthorhombic	Monoclinic	Triclinic
Space group	Cmca	P2₁/c	P $[\overline{1}]$
a (Å)	26.828 (4)	8.7397 (17)	7.0196 (14)
b (Å)	7.1810 (10)	10.125 (2)	8.5432 (17)
c (Å)	14.306 (2)	15.635 (3)	11.948 (2)
V (Å³)	2756.1 (7)	1383.3 (5)	683.5 (2)
α (°)	90	90	93.04 (3)
β (°)	90	90.98 (3)	105.58 (3)
γ (°)	90	90	96.28 (3)
Z	4	2	1
D_c (Mg m⁻³)	1.284	1.279	1.294
μ (mm⁻¹)	0.073	0.072	0.073
2θ range (°)	6.46–52.74	5.22–54.96	4.82–54.94
Reflections collected	10119	10912	3096
Unique reflections	1434	3168	3096
GoF (obs/all)	1.057	1.099	1.196
R_F^obs [I > 2σ(I)]	0.0403	0.0494	0.0672
wR_F^all	0.1002	0.1203	0.2149
Δρ_min/Δρ_max (e Å⁻³)	0.22/−0.20	0.23/−0.18	0.25/−0.24
CCDC No.	605650	726175	726176

6. Polymorphism at surfaces and interfaces

One peculiarity of charge transport in organic semiconductors is that it takes place at the interface with a flat and impenetrable dielectric layer in the case of thin film transistors (Schweicher et al., 2020). Such a rigid wall positions the centre of mass of the molecules at a given distance and, consequently, molecules adopt crystal motifs that differ from their bulk crystal structures (Jones et al., 2016 ). A 2D confinement of the molecular packing with the substrate surface contributes to the formation of polymorphs (Diao et al., 2014a; Giri et al., 2014 ; Jiang & Ward, 2014 ; Meldrum & O'Shaughnessy, 2020 ; de Oliveira Martins et al., 2022 ; Fellah et al., 2022 ). Importantly, substrate-induced polymorphism is not caused by epitaxy because it occurs on flat and unstructured substrates (Schweicher et al., 2020).

Substrate-induced polymorphism is not restricted to organic semiconductors but tends to occur more for them than for other molecules (e.g. pharmaceutical compounds) (Simões et al., 2018 ; Braun et al., 2019 ). Two reasons can be invoked to explain this observation. On the one hand, organic semiconductors are often high aspect ratio molecules forming rather elongated unit cells for which one lattice parameter is greater than the other two. Consequently, one face of the unit cell has a considerably smaller area than the others and thus a lower surface tension than the others (Drummy & Martin, 2005 ). The interfacial tension with the dielectric layer is therefore considerably decreased if the unit cell stands on its smaller area face, causing a preferential orientation that constitutes a second structural constraint ruling substrate-induced polymorphism. Molecules which exhibit a more globular shape, resulting in unit cells for which the faces have rather comparable areas, present less often a preferential orientation. On the other hand, organic semiconductors, by virtue of their conjugated π-systems, are generally more rigid and more symmetrical than general molecules. Another reason is that organic semiconductor molecules have less directional bonds since they are generally devoid of hydrogen bonds and strong dipoles (Sutton et al., 2016). The geometrical requirement to position their molecular centre at a given distance from the rigid wall (e.g. the substrate surface) can thus more easily relax by adopting other conformations (Aliaga-Gosalvez et al., 2019 ; Simbrunner et al., 2021 ). A further feature is that the molecular packing is restricted by the rigid wall, which also induces polymorphism within thin films (Resel et al., 2018 ; Bedoya-Martínez et al., 2017). Considerable system-to-system variations are observed, which holds generally true for crystalline molecular systems. In most cases, the substrate-induced phases are observed as being metastable (Wedl et al., 2012 ; Jones et al., 2016)

A quite illustrative example is given by pentacene (Fig. 5). A new polymorph was observed within thin films prepared for transistor applications (Dimitrakopoulos et al., 1996 ). It took more than a decade until the crystal structure of the substrate-induced phase could be solved (Nabok et al., 2007 ; Schiefer et al., 2007 ; Yoshida et al., 2007 ). In the meantime, crystal structure solution protocols have been developed for substrate-induced polymorphs, a combined experimental/theoretical approach is used based on grazing incidence X-ray diffraction (GIXD) and on molecular dynamics (MD) calculations and density functional theory (DFT) (Werzer et al., 2024 ; Lercher et al., 2015 ; Jones et al., 2017 ). It is also worth discussing the consequences of substrate-induced polymorphism on nucleation that extends well beyond the restricted case of organic semiconductors. It is generally admitted that homogeneous nucleation (high energy barrier) is rare and that heterogeneous nucleation (low energy barrier) is definitively more common. This is evidenced by the ratio of crystallization to melting temperature (T_c/T_m), which is close to unity, as routinely determined by differential scanning calorimetry (DSC) (Jackson, 1965 ). When substrate-induced polymorphs are present, the simple picture of the decreased energy barrier of the bulk phase due to the catalytic role of the substrate breaks down. In a first stage, heterogeneous nucleation implies the substrate-induced polymorphs and not the bulk phase. In a second stage, the latter undergoes cross-nucleation on the former. The twofold nucleation process involves two energy barriers instead of one. Two competing interactions are important at the initial state of crystallization: the molecule–substrate interaction and the molecule–molecule interaction (Winkler, 2016 ). A strong molecule–substrate interaction can force the molecules into a different orientation relative to the substrate surface, which is not the case when molecule–molecule interactions dominate (Resel, 2008 ). Detailed thin film growth studies have been performed on pentacene deposited at various dielectrics (Pratontep et al., 2004 ; Ruiz et al., 2004 ; Luo et al., 2003 ; Gundlach et al., 1997 , 1999 ; Dickey et al., 2006 ; Lee et al., 2007 ; Dinelli et al., 2004 ; Mannsfeld et al., 2009 ). The nucleation is associated with the formation of monolayers which are assembled by upright standing molecules; subsequently, the first monolayer acts as a crystalline template for subsequent thin film growth (Pratontep et al., 2004; Mannsfeld et al., 2009). In the multilayer regime, the formation of islands is observed, so that layer-plus-island (Stranski–Krastanov) is present for the pentacene thin film crystallization (Ruiz et al., 2004; Luo et al., 2003). Please note that considerable differences can be observed between the crystallographic order of the first molecular layer at the substrate surface and the packing of the molecules in the subsequent layer grown upon this first layer (Novák et al., 2011 ; Hofer et al., 2021 ).

Figure 5
(a) X-ray diffraction pattern represented in a reciprocal space map of a 50 nm thick pentacene thin film with two concomitant polymorphs. The substrate-induced (or thin film) phase and the Campbell phase are identified by red and white circles, respectively, representing the peak patterns calculated on the basis of their crystal structures. (Reproduced with permission by Springer Nature.) (b) Orientations of the pentacene molecules relative to the substrate surface for the Campbell phase (gray atoms) and for the substrate-induced phase (red atoms).

For the sake of completeness, one must mention crystal structure predictions by advanced computational methods. They constitute a formidable tool to guide the search for polymorphs, but also to rationalize the stability order of crystal forms from first principles (Woodley & Catlow, 2008 ; Price, 2014 ; Hoja et al., 2019 ; Firaha et al., 2023 ; Beran, 2023 ). Most studies have been dedicated to active pharmaceutical ingredients (APIs), although there are some reports on organic semiconductors (Sánchez-Carrera et al., 2010 ; Sokolov et al., 2011 ; Obata et al., 2013 ; Della Valle et al., 2008 ). The field has recently been reviewed but evolves rapidly (Bhat et al., 2023a ). A hierarchy of machine-learning approaches are currently used to accelerate the development of organic semiconductors by predicting their structures and properties (Bhat et al., 2023b ). However, transport properties are not only ruled by crystal structures, but also by the presence of defects and impurities that it is not possible to compute.

7. Lattice dynamics

Crystals of organic semiconductors not only have a large variety of structures but also some rich phonon dynamics that relate to structure and symmetry. Local (intramolecular) and nonlocal (intermolecular) phonon modes must be differentiated (Coropceanu et al., 2007). Intramolecular phonon modes, observed above 150 cm⁻¹, contribute to the reorganization energy (λ) associated with electron transfer and ranges from 100 to 800 meV (Tant et al., 2005). Intermolecular phonon modes appear in the 10 to 150 cm⁻¹ spectral window (Asher et al., 2022; Ferrari et al., 2023; Salzillo & Brillante, 2022 ). They cause the localization of charge carriers (so-called electron phonon couplings) over one to several molecules, thus reducing drastically the charge carrier mobility values. It is only recently that thermal fluctuations have been recognized as the bottleneck limiting the performance of organic semiconductors due to the resulting dynamic disorder (Fratini et al., 2016, 2017; Giannini et al., 2023; Giannini & Blumberger, 2022). But not all phonon modes are equally important. Some `killer' modes, those presenting a large amplitude coupled with a large electron–phonon coupling value, occurring at low frequency, give rise to larger fluctuations of transfer integrals than others, as illustrated in Fig. 6 in the case of DNTT and C8-DNTT-C8 (Schweicher et al., 2019; Stoeckel et al., 2021 ; Banks et al., 2023). Intermolecular phonon modes are essentially probed by inelastic neutron scattering or by any low-frequency vibrational spectroscopy technique (Raman, THz). Data analysis implies knowledge of the crystal structure to fit the vibrational spectra and extract phonon modes. Recent results on a series of organic semiconductors show that the harmonic vibration potential hypothesis breaks down and that intermolecular phonon modes interact (Asher et al., 2022; Benshalom et al., 2023 ). This brief discussion of crystal dynamics illustrates that crystal structure elucidation is again an enabling step for further physical studies. Intra- and intermolecular vibrations not only shape charge-transport physics, but also trigger phase transitions, as will be discussed in the next section.

Figure 6
Relative displacements of neighbouring molecules associated with the most detrimental phonon modes in (a) DNTT (23, 107 and 136 cm⁻¹) and (b) C8-DNTT-C8 (24 cm⁻¹). [Adapted from Schweicher et al. (2019

).]

8. Crystal-to-crystal transitions

Polymorphs are most often obtained from an amorphous phase, either a gas phase, a solution or a melt state. But polymorphs transform also into each other by crystal-to-crystal phase transitions, that can be either reversible or irreversible, and that are strongly kinetically hindered. In most cases, the crystal structures of two polymorphs are structurally too different to allow a direct interconversion without passing through an intermediate disordered phase (Chung et al., 2019 , 2020 ). A few exceptions exist, notably the case of ditBu-BTBT, which exhibits both a low- and a high-temperature form that interconvert between 340 and 350 K by a concerted mechanism reminiscent of Martensitic transitions. When inspecting both crystal structures, one immediately notices their structural similarity, except for the tert-butyl side groups that present some disorder (Fig. 7) (Chung et al., 2018a,b ; Park & Diao, 2020 ). Compelling Raman spectroscopic evidence corroborates that the phase transition is triggered by partial rotation of the tert-butyl side groups and that this specific phonon mode drives the phase (Asher et al., 2022, 2023). In some cases, solvent vapour annealing (SVA) – a post deposition treatment of thin films – is used to trigger phase changes and, in most cases, transition towards the thermodynamic equilibrium state is initiated (Jones et al., 2015 ). But solvent vapour annealing can also induce a substantial improvement of structural order in terms of thin film morphology and crystalline properties (Lee et al., 2007; Dickey et al., 2006). Crystal-to-crystal phase transitions are much more than laboratory curiosities because they allow the identification of the phase-transition mechanisms that cause them, thanks to the availability of the crystal structures. This conclusion can be extended to the most ordered liquid crystal phases, such as the smectic E phase (Ferrari et al., 2023). The dynamics of crystals is gaining an increasing importance because it contributes to the mechanical and electronic properties, probably as much as the structures (Davies et al., 2023 ; Awad et al., 2023 ; Das et al., 2020 ).

Figure 7
Single-crystal-to-single-crystal polymorphic transition in ditBu-BTBT from the LT to the HT form, showing (a) the molecular structure of ditBu-BTBT, (b) the order-to-disorder transition of the side –ditBu groups and (b)/(d)/(e) the three isolated conformations of the HT disordered phase. (f) The change in the herringbone dihedral angle in the (f) LT and (g) HT forms. H atoms have been omitted for clarity and better presentation. (h) Overlay of the unit cells and significant changes of the unit-cell parameters before and after the polymorphic phase transition (Chung et al., 2018a

9. Conclusions and perspectives

This review presents a large portfolio of research activities that would not have been possible without initial crystal structure elucidation. Novel molecular materials design, supramolecular interaction studies, crystal engineering, polymorphism studies, spectroscopic analysis, lattice dynamics studies and charge-transport physics heavily rely on crystal structures, in bulk, but also at the interface with a substrate that acts as a rigid wall imposing geometrical constraints causing the occurrence of some substrate-induced phases. The latter requires the development of new crystal structure elucidation methods based on GIXD data obtained at synchrotron facilities. One future challenge deals with the control of nucleation and growth through better-defined crystallization conditions, implying also time-resolved structural elucidation to monitor the formation of transient phases. Structural elucidation from bulk single crystals is and will continue to play a pivotal role, but there is also a demand for the development of time- and space-resolved X-ray diffraction methods.

Acknowledgements

The authors thank the Belgian National Fund for Scientific Research (FNRS) for financial support. Financial support from ULB and the French Community of Belgium through the concerted research action ARC SADI (No. 20061) is also gratefully acknowledged. GS is an FNRS Research Associate and acknowledges financial support from the FNRS, Francqui Foundation (Francqui Start-Up Grant) and Wiener-Anspach Foundation (FWA, ZT1 research project).

Funding information

Funding for this research was provided by: Fonds De La Recherche Scientifique – FNRS (project Nos. PHASETRANS BTBT PDR 2.4565.11, PDR T.0058.14, Pi-Fast PDR T.0072.18, PICHIR PDR T.0094.2, DIFFRA GEQ U.G001.19, POLYP EQP U.N032.21F, POLYP2 EQP U.N03323F, CHIRI CDR J. 0088.24, CISSCA WEAVE T.W.023.23, WEL-T-CR-2023 A-04, 2Dto3D EOS 30489208 and CHISUB EOS 40007495; COHERENCE2 project No. F.4536.23 to G. Schweicher).

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