课题基金 / 基金详情

Inkjet Printing of (Semi)conductive MOF Films: From Ink Formulation to Printed Electronic Devices

Inkjet Printing of (Semi)conductive MOF Films: From Ink Formulation to Printed Electronic Devices
(半)导电 MOF 薄膜的喷墨印刷:从油墨配方到印刷电子设备
批准号:
542331373
负责人:
Dr. Salma Begum
金额:
$0.0万
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
--
资助国家:
德国
项目状态:
未结题
起止时间:

项目摘要

项目成果

相似基金

相关文献

中文摘要
翻译
这项研究概念化开发新的(半)导电油墨配方的印刷电子设备使用合成可调的基于MOF的多孔模板,通过纳入(半)导电前体,以调整光电,电化学功能和净电导印刷电子。基于MOF的导电油墨配方设计和印刷具有定制结构能力的导电MOF膜的创新是这项研究的重点,这必将有助于开发低成本,快速和更有效的方法来制造技术相关的印刷电子设备。我们的目标是(半)导电油墨配方主要用于喷墨印刷,喷墨印刷是一种无掩模,低成本,数字,非接触式沉积方法,适用于各种技术相关的制造光电子器件,显示器,薄膜晶体管,电子产品和传感器。在印刷方法方面,计划根据可实现的油墨参数,如粘度、粒度、pH值和沸点,进一步研究显微绘图和毛细管印刷等数字印刷技术。除了传统的功能材料(有机、无机氧化物或聚合物),探索新的概念和设计策略,特别是概念新颖的油墨配方,为改善印刷薄膜性能/材料提供了机会。机器学习方法将用于预测和协助设计策略,以了解和选择性能优越的油墨成分,它们对印刷和印刷电子设备的影响。
英文摘要
This proposed research conceptualizes developing new (semi)conductive-inks formulation for printed electronic devices using synthetically tunable MOF-based porous templates by incorporating (semi)conductive precursors to tune optoelectronic, electrochemical features and net conductance in printed electronics. Innovations in the design of MOF-based conductive-inks formulation and printing conductive MOF films with customized structuring capabilities is the focus of this research that will certainly contribute to developing lowcost, rapid, and more efficient methods for fabricating technologically-relevant printed electronic devices. We aim (semi)conductive-inks formulation primarily to be examined for inkjet printing being a maskless, low-cost, digital, non-contact deposition method that is suitable for a variety of technologically-relevant manufacturing of photovoltaics, displays, thin-film transistors, electronics, and sensors. In terms of printing methods, it is planned to investigate further digital printing techniques of microplotting and capillary printing depending on the achievable ink parameters such as viscosity, particle sizes, pH and boiling point. Beyond the conventional functional materials (organic, inorganic oxide, or polymers), exploring new concepts and designing strategies, notably conceptually-novel inks formulation, offer opportunities for improvements in printed film properties/materials. Machine-learning approaches will be used to predict and assist in designing strategies to understand and select superior-performing ink components, their influence on printing and printed electronic devices.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
海外基金