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Advanced data analysis and measurement methods for high performance perovskites

Advanced data analysis and measurement methods for high performance perovskites
高性能钙钛矿的先进数据分析和测量方法
批准号:
2826024
负责人:
金额:
$0.0万
依托单位:
依托单位国家:
英国
项目类别:
Studentship
财政年份:
2023
资助国家:
英国
项目状态:
未结题
起止时间:
2023 至 --

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中文摘要
翻译
近年来,基于钙钛矿材料的太阳能光伏器件由于其高效率和可扩展性的潜力而显示出巨大的潜力。这种光电装置在玻璃基板上已经达到了25.2%的认证效率。它们的制造工艺与轻质、柔性基板兼容,适用于高W/kg应用(飞机、航天、物联网设备等)。然而,针对特定应用程序的优化可能是一个挑战。基于空间光学和电学特征的创新测量技术,以及先进的数据分析方法(包括人工智能和机器学习)的结合,可以为如何研究这些系统提供一个步骤的改变,有助于优化制造工艺和解决商业化挑战
英文摘要
Solar photovoltaic devices based on perovskite materials have demonstrated significant potential in recent years due to the high efficiencies achieved and their scalability potential. Such photovoltaic devices are already achieving certified efficiencies of 25.2% in glass substrates.Their manufacturing process is compatible with lightweight, flexible substrates, making them suitable for high W/kg applications (aircrafts, space, IoT devices, etc). However, optimisation for specific applications can be a challenge. A combination of innovative measurement techniques based on spatial optical and electrical characterisation, along with advanced data analysis methods (including AI and machine learning) could provide a step change in how to study these systems, helping to optimise manufacturing processes and resolve commercialisation challenges.&&&
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国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
  • 批准号:
    72101261
  • 项目类别:
    青年科学基金项目(C类)
  • 资助金额:
    30.0万元
  • 批准年份:
    2021
  • 负责人:
    孙韬
  • 依托单位:
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
  • 批准号:
    --
  • 项目类别:
    --
  • 资助金额:
    40万元
  • 批准年份:
    2020
  • 负责人:
    Vikrant Gupta
  • 依托单位: