Real-time Diagnostics for Enabling Advanced Laser-based Roll to Roll Materials Processing

The Marie Sklodowska Curie Individual Fellowship enables Dr. Nazar Farid to relocate to the NCLA Laser Laboratory at NUI Galway Ireland. Dr. Farid is an experienced researcher with laboratory expertise in real time monitoring of laser-matter-ambient-interactions. The objective of the project is to identify how real time or in-line diagnostics can fully realise the potential of short pulse laser structuring of materials. An active programme of research, knowledge transfer and information dissemination is being undertaken which centres on the development of new laser process tools for future roll to roll large area electronics.

Key achievements

  1. Clean laser nanostructure-enabled patterning & selective etching of indium tin oxide.
  2. New laser process for submicron structuring of glasses.
  3. New process for laser metal induced crystallinity.
  4. Demonstration of process monitoring on graphene / ITO.

Real-Time Monitoring

 

Real-time Monitoring

Schematic of apparatus for real time monitoring coupled to laser ablation used to optimise laser processes in the project.

Laser Patterning of Thin Films

Patterning of ITO

Repetitively pulsed, short and ultra-short, pulse laser technology offers an alternative to other chemical processes for patterning of thin films. The image show selective patterning of the transparent conductive material, indium thin oxide (ITO), on thin glass substrates relevant to OLED, photovoltaic and touch panel devices.

Galway Science Festival 2016

Galway Science Festival 2016
 

Dr. Nazar Farid demonstrating his research at the Galway Science Festival November 2016.

                                                                                    

       

 

  

Acknowledgements

 

The Fellow is grateful for the support of Andor Technology Ltd. (Belfast, Northern Ireland) who provided access to the process monitoring tools. The support of laser systems integrator M-Solv (Oxford, England) Ltd. is also acknowledged. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 659454

Horizon 2020

   

EU Funding

   

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