Prediction of Solar Cell Materials via Unsupervised Literature Learning

2021 ◽  
Author(s):  
Lei Zhang ◽  
Mu He
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Language Processing ◽  
Perovskite Solar Cells ◽  
Dye Sensitized Solar Cells ◽  
Cell Types ◽  
Data Driven ◽  
Cell Material ◽  
Textual Data ◽  
Solar Cell Material

Abstract Despite the significant advancement of the data-driven studies for physical science, the textual data that are numerous in the literature are not fully embraced by the physics and materials community. In this manuscript, we successfully employ the natural language processing (NLP) technique to unsupervisedly predict the existence of solar cell types including the dye-sensitized solar cells and the perovskite solar cells based on literatures published prior to their first discovery without human annotation. Enlightened by this, we further identify possible solar cell material candidates via NLP starting with a comprehensive training database of 3.2 million paper abstracts published before 2021. The NLP model effectively predicts the existing solar cell materials, while an uncommon solar cell material namely PtSe2 is suggested as an appropriate candidate for the future solar cells. Its optoelectronic properties are comprehensive investigated via first-principles calculations to reveal the decent stability and optoelectronic performance of the NLP-predicted candidate. This study demonstrates the viability of the textual data for the data-driven materials prediction and highlights the NLP method as a powerful tool to reliably predict the solar cell materials.

scholarly journals An Assessment Framework for Solar Cell Material Based on a Modified Fuzzy DEMATEL Approach

Energies ◽  
2021 ◽  
Vol 14 (18) ◽  
pp. 5708
Author(s):  
Chia-Chi Sun ◽  
Shih-Chi Chang
Keyword(s):  
Decision Making ◽  
Solar Cells ◽  
Solar Cell ◽  
Evaluation System ◽  
Assessment Framework ◽  
Fuzzy Dematel ◽  
Cell Material ◽  
Casual Relationship ◽  
Solar Cell Material

We propose an evaluation system to choose appropriate materials for solar cells. A fuzzy DEMATEL information procedure was used for decision-making to gather information and analyze the casual relationship. These data acquired were partitioned into causal and impact bunches, empowering users to gather an improved understanding of the intelligent relationship among them, as well as making recommendations for changes to upgrade their general execution. The proposed approach can deliver a compelling fabric choice assessment with satisfactory criteria that fit the respondent’s discernment designs; particularly, these evaluation dimensions are interlaced. Recommendations are given to assist government authorities to plan a Taiwan solar cell industry approach and for industries to develop commerce techniques for improvement in the solar cell field.

Cradle-to-Grave Life Cycle Assessment of Solid-State Perovskite Solar Cells

2017 ◽  
Author(s):  
Jingyi Zhang ◽  
Xianfeng Gao ◽  
Yelin Deng ◽  
Yuanchun Zha ◽  
Chris Yuan
Keyword(s):  
Life Cycle Assessment ◽  
Solar Cells ◽  
Life Cycle ◽  
Solar Cell ◽  
Perovskite Solar Cells ◽  
Dye Sensitized Solar Cells ◽  
Perovskite Solar Cell ◽  
Primary Data ◽  
Promising Alternative ◽  
Whole Life Cycle

With the advantages of low cost and high conversion efficiency, perovskite solar cell attracts enormous attention in recent years for research and development. However, the toxicity potential of lead used in perovskite solar cell manufacturing causes grave concern for its environmental performance. To understand and facilitate the sustainable development of perovskite solar cell, a comprehensive life cycle assessment has been conducted by using attributional life cycle assessment approach from cradle to grave, with manufacturing data from our lab experiments and literature. The results indicate that the major environmental problem is associated with system manufacturing, including gold cathode, organic solvent usage and recycling, and electricity utilization in component manufacturing process. Lead only contributes less than 1% of human toxicity and ecotoxicity potentials in the whole life cycle, which can be explained by the small amount usage of lead in perovskite dye preparation. More importantly, the uncertainties caused by life cycle inventory have been investigated in this study to show the importance of primary data source. In addition, a comparison of perovskite solar cell with conventional solar cells and other dye sensitized solar cells shows that perovskite solar cell could be a promising alternative technology for future clean power generations.

scholarly journals The role of Sb in solar cell material Cu2ZnSnS4

2017 ◽  
Vol 5 (14) ◽  
pp. 6606-6612 ◽  
Author(s):  
Xiaoli Zhang ◽  
Miaomiao Han ◽  
Zhi Zeng ◽  
Yuhua Duan
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
First Principles ◽  
Point Of View ◽  
Efficiency Improvement ◽  
First Principles Calculations ◽  
Cell Material ◽  
Related Defect ◽  
Solar Cell Material

In this study, based on first-principles calculations we report a possible mechanism of efficiency improvement of Sb-doped Cu2ZnSnS4 (CZTS) solar cells from the Sb-related defect point of view.

Materials for Solar Cell Technologies I

2021 ◽  
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Organic Solar Cells ◽  
Carbon Nanomaterials ◽  
Perovskite Solar Cells ◽  
Dye Sensitized Solar Cells ◽  
Metal Nanoparticle ◽  
Special Focus ◽  
Sensitized Solar Cells

The book reviews recent research and new trends in the area of solar cell materials. Topics include fabrication methods, solar cell design, energy efficiency and commercialization of next-generation materials. Special focus is placed on graphene and carbon nanomaterials, graphene in dye-sensitized solar cells, perovskite solar cells and organic photovoltaic cells, as well as on transparent conducting electrode (TCE) materials, hollow nanostructured photoelectrodes, monocrystalline silicon solar cells (MSSC) and BHJ organic solar cells. Also discussed is the use of graphene, sulfides, and metal nanoparticle-based absorber materials.

Approach using the electrical structure and optical properties of aluminium-doped zinc oxide for solar cells

RSC Advances ◽  
2016 ◽  
Vol 6 (112) ◽  
pp. 110943-110950 ◽  
Author(s):  
Yanfang Zhao ◽  
Zhixiang Liu ◽  
Haiying Yang ◽  
Tianbo Li ◽  
Ping Yang
Keyword(s):  
Zinc Oxide ◽  
Optical Properties ◽  
Solar Cells ◽  
Solar Cell ◽  
Electrical Structure ◽  
Cell Material ◽  
Solar Cell Material

Aluminium-doped zinc oxide (AZO) is attracting a continuously increasing amount of attention because of its potential as a solar cell material.

scholarly journals Ultrathin and compact electron transport layer made from novel water-dispersed Fe3O4 nanoparticles to accomplish UV-stable perovskite solar cells

2021 ◽  
Author(s):  
Song Fang ◽  
Bo Chen ◽  
Bangkai Gu ◽  
Linxing Meng ◽  
Hao Lu ◽  
...  
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Electron Transport ◽  
Perovskite Solar Cells ◽  
Perovskite Solar Cell ◽  
Transport Layer ◽  
Electron Transport Layer ◽  
Perovskite Material ◽  
Main Factors ◽  
Induced Decomposition

UV induced decomposition of perovskite material is one of main factors to severely destroy perovskite solar cells for instability. Here we report a UV stable perovskite solar cell with a...

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.

Donor-π-acceptor, triazine-linked porphyrin dyads as sensitizers for dye-sensitized solar cells

2015 ◽  
Vol 19 (01-03) ◽  
pp. 175-191 ◽  
Author(s):  
Ganesh D. Sharma ◽  
Galateia E. Zervaki ◽  
Kalliopi Ladomenou ◽  
Emmanuel N. Koukaras ◽  
Panagiotis P. Angaridis ◽  
...  
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Carboxylic Acid ◽  
Power Conversion Efficiency ◽  
Conversion Efficiency ◽  
Power Conversion ◽  
Dye Sensitized Solar Cells ◽  
Orbital Energy ◽  
Dye Sensitized ◽  
Sensitized Solar Cells

Two porphyrin dyads with the donor-π-acceptor molecular architecture, namely ( ZnP )-[triazine-gly]-( H 2 PCOOH ) and ( ZnP )-[triazine-Npip]-( H 2 PCOOH ), which consist of a zinc-metalated porphyrin unit and a free-base porphyrin unit covalently linked at their peripheries to a central triazine group, substituted either by a glycine in the former or a N-piperidine group in the latter, have been synthesized via consecutive amination substitution reactions of cyanuric chloride. The UV-vis absorption spectra and cyclic-voltammetry measurements of the two dyads, as well as theoretical calculations based on Density Functional Theory, suggest that they have suitable frontier orbital energy levels for use as sensitizers in dye-sensitized solar cells. Dye-sensitized solar cells based on ( ZnP )-[triazine-gly]-( H 2 PCOOH ) and ( ZnP )-[triazine-Npip]-( H 2 PCOOH ) have been fabricated, and they were found to exhibit power conversion efficiency values of 5.44 and 4.15%, respectively. Photovoltaic measurements (J–V curves) and incident photon to current conversion efficiency spectra of the two solar cells suggest that the higher power conversion efficiency value of the former solar cell is a result of its enhanced short circuit current, open circuit voltage, and fill factor values, as well as higher dye loading. This is ascribed to the existence of two carboxylic acid anchoring groups in ( ZnP )-[triazine-gly]-( H 2 PCOOH ), compared to one carboxylic acid group in ( ZnP )-[triazine-Npip]-( H 2 PCOOH ), which leads to a more effective binding onto the TiO 2 photoanode. Electrochemical impedance spectra show evidence that the ( ZnP )-[triazine-gly]-( H 2 PCOOH ) based solar cell exhibits a longer electron lifetime and more effective suppression of charge recombination reactions between the injected electrons and electrolyte.

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