Transient absorption (TA) pump-probe spectroscopy

瞬態(tài)吸收(TA)泵浦探測光譜

Transient absorption (TA) pump-probe spectroscopy

TA Principle

Transient absorption (TA) pump-probe spectroscopy is a powerful tool to monitor the dynamics of photo-excited states in soft and hard matter. Excited states are probed by monitoring their specific absorption, a method that causes only very limited perturbation of the system compared to, for instance, chemical or electrical characterization.
TA is a differential pulse technique. A short pulse of white light is transmitted through a photoexcited sample and the transmission of the white light is compared to that of a white light pulse transmitted through a non-excited sample (i.e. in the ground state). The difference between the spectra yields the excited state absorption, additional transmission, or stimulated emission) caused by the presence of photoexcited states.

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The time resolution is achieved by using a pulsed photo-excitation (pump pulse) and delaying the white light probe pulse by a delay time td between the two pulses. The probe pulse thus gives a snapshot of the system at the delay time td following photoexcitation. By varying td the dynamics of excited states in the material can be followed.

Experimental Setup

We use different techniques to generate pump-probe delays across a wide dynamic range:

  • sub-100 fs timerange: by compressing the pulses obtained from a home-built non-collinear optical parametric amplifier, we can reach a time resolution in the order of 20 fs.
  • ps-ns timerange: the simplest pump-probe method is to create pump and probe beams from the same laser source by splitting the beam and increasing the path length of the probe beam. In our setup we can delay the probe up to 2.4 meters, which corresponds to a delay of 8 ns (as calculated from the speed of light). The shortest delays are limited by the width of the laser light pulses, in our case they are on the order of 100 fs.
  • ns-μs timerange: for time delays longer than obtainable by the length of the mechanical delay stage, a different pump laser is used, which can be electronically triggered and delayed with respect to the probe pulse by 1 ns to 100 μs.

Thus, overall we can cover a timerange from about 20fs to several hundred microseconds with our setup.

10002.png

Figure 1: Transient absorption spectroscopy setup (ps - ns timerange configuration).

Excitation range:

  • ps-ns timerange: UV (260 nm) to deep IR (20 μm) using optical parametric amplifiers (Lightconversion TOPAS) and higher harmonic generators (Lightconversion NIRUVis).
  • ns-μs time range: sub-ns pulses with 1064 nm, 532 nm and 355 nm wavelength.

Probe range: different sets of detectors (Si, InGaAs) and crystals for white light generation (sapphire, YAG, YVO4, and CaF2) allow us to generate white light from 360 nm to 2100 nm.

Applications

Soft matter studies: The ‘flexibility’ of interatomic bounds (covalent for intramolecular, Van der Waals or Ionic for intermolecular) of organic materials implies that any change of the electronic state of the material (excitation, ionization) will affect the molecule itself and surrounding, that is, the energetic landscape will respond in a specific way. As a result, the absorption of an excited material strongly differs from that of the ground state, thus allowing to monitor the evolution of the molecule after photoexcitation. Additionally, different excited states such as excitons, charges, triplet excitons, exhibit distinct spectral signatures, that allow to monitor them individually.
In the specific case of organic semiconductors, electronic transitions of excited states are typically strong in the visible to near-infrared region. This the spectral region covered by the TA technique.
The study of photoexcited states in semiconductors is highly relevant for their application in solar cells. In fact, it allows to detect the entire manifold of excited states generated upon light absorption in a photoactive material. Furthermore, the processing conditions and materials that maximize the generation of a certain state (mobile charges) with respect to others (bound charges, triplets) as well as their ability to be transported across the active layer to be extracted from the device, can be studied.
However, applications are not limited to (organic) photovoltaics only. TA is a technique that can be used to study many photoinduced energy conversion and charge transfer processes in soft and hard matter including photosynthetic systems, photocatalytic applications, and photochemical processes.

Spectral features Involved photophysics

![10004.png](https://upload-images.jianshu.io/upload_images/25999089-9a7b8ea245f5b0f1.png?imageMogr2/auto-orient/strip%7CimageView2/2/w/1240)

Figure 2: Electronic transitions underlying the different spectral features observed in transient absorption spectroscopy.

10003.png

Figure 3: Photophysical processes involved in organic bulk heterojunction photovoltaic devices, whose kinetics and yields

can be extracted transient absorption measurements. In parallel to these processes, others such as energy transfer (neutral excitation transfer from on material to another) or triplet excitons formation. To one exception, excited species are differentiated by their absorption spectra. However bound electron– hole pairs and free charges generally share the same spectra but differ by their kinetics. (Note that TA is typically measured on a film, not a device, extraction can thus not be directly monitored).

Data evaluation and extracted information

A typical dataflow for TAS experiment would be:

  • Determine the number of spectral signatures superposed in the experimental spectra / number of different excited species. Identify the individual’s species spectra and dynamics using deconvolution tools such as Multivariate Curve Resolution or Global Analysis.
  • Estimate the absorption cross section of the excited species to convert the quantity of signal into densities of excited species (For example in the case of charges, by comparing with charge extraction methods. in the time range to which both setups have access).
  • Model the dynamics to extract the generation, and recombination rates and yields.
  • Enter the recombination rates into steady state models to evaluate the impact the different processes on device performances under operating conditions.
10004.png

Figure 4: Simplified flowchart indicating the determination of the charge transfer ?CT, charge separation ?sep, and charge extraction ?extr yields. n(t) represents the time-dependent charge density, f the fraction of separated charges, τ the lifetime of bound charge pairs, and kλ the coefficient of the empirical nongeminate recombination coefficient of apparent order λ + 1. Source: J. Gorenflot, A. Paulke, F. Piersimoni, J. Wolf, Z. Kan, F. Cruciani, A. El Labban, D. Neher, P. M. Beaujuge, F. Laquai, Adv. Energy Mater. 2017, 1701678. https://doi.org/10.1002/aenm.201701678.

10005.png

Figure 5: Detailed flowchart of the methodology for individual yields determination. Source: J. Gorenflot, A. Paulke, F. Piersimoni, J. Wolf, Z. Kan, F. Cruciani, A. El Labban, D. Neher, P. M. Beaujuge, F. Laquai, Adv. Energy Mater. 2017, 1701678. https://doi.org/10.1002/aenm.201701678.

Literature

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