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.

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 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.

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 Intensity Dependent Femtosecond Dynamics in a PBDTTPD-Based Solar Cell Material

2012 ◽  
Vol 3 (20) ◽  
pp. 2952-2958 ◽  
Author(s):  
Arun Aby Paraecattil ◽  
Serge Beaupré ◽  
Mario Leclerc ◽  
Jacques-E. Moser ◽  
Natalie Banerji
Keyword(s):  
Solar Cell ◽  
Femtosecond Dynamics ◽  
Cell Material ◽  
Solar Cell Material

scholarly journals Unconventional Solar Energy: Singlet Fission

2019 ◽  
Vol 03 (01) ◽  
pp. 84-91 ◽  
Author(s):  
Josef Michl
Keyword(s):  
Solar Cells ◽  
Solar Cell ◽  
Solar Energy ◽  
Excitation Energy ◽  
Triplet State ◽  
Excited Molecule ◽  
Singlet Fission ◽  
Single Junction ◽  
Simple Rules ◽  
Solar Cell Material

Described simply, singlet fission is a process in which a singlet excited molecule transfers about half of its excitation energy to a neighbor molecule, both end up in their triplet state, and the two triplet excitations diffuse apart. The process is of interest for solar cells. Used in conjunction with ordinary solar cell material, a layer of singlet-fission material offers an opportunity to utilize higher energy photons more efficiently. The maximum theoretical efficiency is then close to 1/2 instead of the Shockley-Queisser value of 1/3 that applies to an ordinary single-junction cell. The problem that prevents an immediate production of singlet fission solar cells is the dearth of sufficiently stable efficient materials. The formulation of simple rules for the design of suitable compounds for the purpose is discussed.

Hydrogenated a ‐ Si x Ge1 − x : A Potential Solar Cell Material

1982 ◽  
Vol 129 (12) ◽  
pp. 2850-2855 ◽  
Author(s):  
M. C. Cretella ◽  
J. A. Gregory
Keyword(s):  
Solar Cell ◽  
Cell Material ◽  
Solar Cell Material
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