Ultrafast direct electron transfer at organic semiconductor and metal interfaces

Xiang, Bo; Li, Yingmin; Pham, C. Huy; Paesani, Francesco; Xiong, Wei

doi:10.1126/sciadv.1701508

Cited by 49 publications

(67 citation statements)

References 71 publications

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“…This is consistent with our experimental results, where we found that the initial band gap of P3HT is 2.1 eV and by depositing P3HT on Au, we create an interfacial gap of 1.5 eV. 14 We further evaluate the level of hybridization by calculating the real space wavefunction along the material. Using the DFT calculated wave function data which includes the lattice points in the reciprocal space and their corresponding plane wave coefficients, real- space wavefunctions were constructed.…”

supporting

confidence: 90%

Modeling Spontaneous Charge Transfer at Metal/Organic Hybrid Heterostructures

Özçelik

Xiong

et al. 2020

J. Phys. Chem. C

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Hybrid materials are crucial in photovoltaics where the overall efficiency of the heterostructure is closely related to the level of charge transfer at the interface. Here, using various metal / poly(3hexylthiophene)(P3HT) heterostructure models, we reveal that the level of spontaneous charge transfer and electronic coupling at these interfaces depend on the conformational regularity of the organic polymer deposited on the metal substrate. Using ab-initio quantum chemical calculations based on density functional theory (DFT) and heterodyne vibrational sum frequency generation (HD-VSFG) measurements, we show that inducing regio-randomness into the organic polymer modifies the intensity of interfacial electronic states, level of hybridization, density of interfacial charge transfer and the electronic wave function of the material. We present the HD-VSFG responses of the metal/P3HT heterojunctions containing both regio-regular and regio-random P3HT structures and show that the amount of non-resonant signal is closely related to the level of the spontaneous charge transfer at the interface. Thus, by measuring the non-resonant response of the metal/P3HT heterojunctions, the level of spontaneous charge transfer at the interface can be determined. arXiv:1908.06269v1 [cond-mat.mtrl-sci]

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supporting

confidence: 90%

Modeling Spontaneous Charge Transfer at Metal/Organic Hybrid Heterostructures

Özçelik

Xiong

et al. 2020

J. Phys. Chem. C

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“…The frequency transition stabilizes in a very rapid period (turn‐on time less than 20 s), which is mainly determined by two factors: fluid‐infusing time and optoelectronic conversion delay (turn‐on time). [ 27,28,36,37 ] The hydrophilic treatment could greatly reduce the fluid‐infusing time to few seconds, while the turn‐on time is a tradeoff between the flexibility of the thin film and light sensitivity.…”

Section: Resultsmentioning

confidence: 99%

A Bioinspired Wireless Epidermal Photoreceptor for Artificial Skin Vision

Zhang

Tao

2020

Adv Funct Materials

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Skin vision can be found in many invertebrates, such as earthworms, jellyfish, and octopuses using light-sensitive rod cells in the skin. It enables optical perception and colorimetric responses, providing intriguing capabilities that human skin does not have. A bioinspired wireless, battery-free, artificial skin vision (ASV) device consisting of flexible optical and optoelectronic components which essentially mimic the hierarchical structures and biological functions of rod cells in a skin-like configuration for light sensing and signal processing is developed. The ASV device can collect sweat with integrated microfluidic channels and allow real-time measurement of on-skin fluids by monitoring the intrinsic optical properties via a customizable microprism light filter. The device also shows sensitive colorimetric responses to input stimulus at chosen detection wavelengths and demonstrates a capacity for in situ quantitative analysis of biomarkers in sweat through alternative colorimetric light filters. Multiple ASVs together create a body area network with a collection of wireless sensors that can work in parallel to acquire multidimensional human physiological signals and predict fitness variations using a specified deep learning neural network. The system has potential applications in biomimetic engineering, physiological monitoring, and intelligent personalized diagnostics.

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“…2c displays the SFG spectrum obtained for the palmitic acid monolayer on the NaCl subphase in a condensed aqueous phase. The SFG setup used for this experiment has been described in Xiang, Li et al 30 SFG spectroscopy is interface sensitive and has been previously employed to study atmospherically relevant systems at air/water interfaces. 31 – 35 The ssp-polarized SFG spectrum in Fig.…”

Section: Resultsmentioning

confidence: 99%