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This work evaluates the critical issues surrounding P1, P2, and P3 scribing for semi-transparent perovskite module integration. We find that P1 scribing procedures are well-translated from other thin-film technologies. P2 scribing is best performed with a mechanical scribe, but remains a source of series resistance. P3 scribing is found to cause an increase in scribing dead area and a potential degradation source.

We report on the modeling of semi-transparent ZnTe-based photovoltaic devices. We propose innovative strategies to markedly improve the performances, so far mostly hindered by a poor band alignment at the p-n interface. Alternative buffer materials are considered, and we investigate on the surface selenization of the ZnTE films as well as the feasibility of a purely ZnTe homojunction. Using a realistic set of state-of-the-art parameters, a semi-transparent solar cell with a potential efficiency exceeding 7.5% is demonstrated possible., This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 712949 (TECNIOspring PLUS) and the Government of Catalonia's Agency for Business Competitiveness (ACCIÓ).

The stability of perovskite cells has been the major challenge to the commercialization of the technology. Here, we study the thermal stability of mesoporous perovskite cells using poly[bis(4-phenyl)(2,4,6-trimethylphenyl)amine] (PTAA) for the hole transport layer. We find evidence that gold diffusion into the perovskite active layer is prevented by the PTAA layer when the cell is aged at $85~^{\mathbf {o}}$C in the dark, but not under light. This seriously affects the operational stability of perovskite cells. We therefore develop thermally stable semi-transparent perovskite cells, which retain more than 90% of the initial efficiency after $>160$ hours operating at 85 $^{\mathbf {o}}\textbf{C}$ under light.

Flow visualization technique such as streamlines is an effective technique in order to understand the flow field reproduced by numerical simulations such as computational fluid dynamics. In this work, we propose a streamline rendering technique with semi-transparent effects, which can effectively visualize the features and internal structure of complicated streamlines.

Light-Fidelity (LiFi) is the communication technology, which utilizes LEDs for both illumination and data transmission with a bidirectional link. In order to enhance the users mobility for indoor or outdoor environment, it is essential to choose the most appropriate receiver. LiFi systems suffer of a lack of receiver solutions about two great LiFi problematics: the integration of the receiver into mobile devices such as smartphones and the receiver capacity to work in indoor and outdoor configurations without complexifying to the system. SunPartner Technologies develops specific semi-transparent solar cells to solve these two problematics. In this paper, we show the main results concerning the ambient lighting effects obtained by semi-transparent photovoltaic modules developed by SunPartner Technologies. In particular, we show through LiFi measurements, that we can obtain three different SNR responses to ambient lighting increase. The conventional effect is obtained when the SNR decreases with the ambient lighting increase. The unusual effect concerns the SNR increase when the ambient lighting increases. Finally, the saturation stability effects show a constant SNR level for different ambient lighting. Through this research, we designed a specific semi-transparent photovoltaic module optimized for LiFi application and we performed a demonstrator that allows streaming-video using this specific photovoltaic module.

The optical properties of a novel semi-transparent organic solar cell were investigated to maximize photocurrent generation. The effect of multilayer anode thickness and illumination direction was studied. Optimized device can provide ∼2.5 fold enhancement in photocurrent.

Semi-transparent mirror with hidden camera was developed in the EU funded Biomedical Engineering Competence Centre. Embedded computer algorithms detect and track faces, recognize persons in front of the mirror, and assess their skin color consistently and their emotions in real time.

We report a large-area, semi-transparent, light-sensitive nanocrystal skin (LS-NS) platform consisting of single monolayer colloidal nanocrystals. LS-NS devices, which were fabricated over areas up to 48 cm(2) using spray-coating and several cm-squares using dip-coating, are operated on the principle of photogenerated potential buildup, unlike the conventional charge collection. Implementing proof-of-concept devices using CdTe nanocrystals with ligand removal, we observed a substantial sensitivity enhancement factor of similar to 73%, accompanied with a 3-fold faster response time (

This paper presents a motion estimation method for semitransparent objects with a long-range displacement between frames, i.e., falling snow in video. Previous optical flow based methods have been treated with non-transparent, rigid, and fluid-like moving objects in a short-range displacement. However, they fail to match between frames when moving objects are transparent/homogenoeous color in a long-range displacement. To meet with such objects' properties, a two-step algorithm is proposed from rough to refined motion estimation via an energy minimization. First, rough motion of every snow particles is extracted from video using a novel “time filter” method in order to obtain/update a quasi-stationary background in every 30 fps. Second, using such rough optical flow from the first step, the long-range snowflakes' trajectories are estimated and refined by propagation, linking, pruning, and optimization. Experimental results using real falling snow videos show that the proposed method is more effective than a previous optical flow method. Our proposed method is useful for the analysis of natural environment changes.

Great libraries of historic texts, manuscripts, and images are available at this time. The information contained in these documents will be of critical importance in documenting the history of humanity in the years to come. However, many of these documents are degrading for a variety of reasons, including semi-transparent blotches. Current restoration techniques are either chemical in nature or involve significant user interaction through a desktop computer. Due to operator costs, either method is too expensive for the large quantity of information that needs to be preserved. Automated blotch removal algorithms exist, however they all have severe limitations: Some mechanisms only work on text and not images while others leave edges around the blotch or blur the image within the blotch. This paper introduces an automated Local Logarithmic Restoration Algorithm to restore semi-transparent blotches in a variety of documents. Intensive computer simulations show: (1) the new algorithm outperforms competing algorithms by providing better local contrast preservation, expanded saturation reduction capabilities, and improved edge removal; and (2) it is a flexible and practical algorithm for batch restoration many pages of text, manuscripts, or images.

We report on our recent progress on semitransparent amorphous silicon (a-Si:H)-based solar cells which were deposited on inexpensive plastic substrates at deposition temperature 40% on a large area, series connected panel. We are in the process of developing laser scribing techniques and a reel-to-reel cassette cluster tool system for mass production which should result in a competitive product in the market of Building Integrated Photovoltaics

A new method for surface- and depth-shaded volume rendering of medical ultrasound data is presented. Robust semi-transparent rendering is obtained using a special opacity function which includes both echo intensities and echo gradients. Interactive cutting of the 3D scene with randomly oriented 2D slices was essential for the clinical use of the system. A device for mechanical tilting of a standard 2D probe was used to record the ultrasound data. The new method has been successfully used in examining both structures with distinct tissue transitions such as the gastric antrum wall and liver cysts, and more fuzzy structures such as hyper- and hypo-echoic tumors in the liver and pancreas