FOM photonR2R

In-situ material characterization for synchrotron beamlines

Autonomous, versatile, and cost-efficient

In-situ material characterization using the photonR2R allows you to enhance your understanding of your thin film research when working in a synchrotron beamline.

With its small footprint and autonomous operation, the photonR2R slot die-coater can be placed directly inside the beamline. Using automatic features such as automatic ink-switching and a self-cleaning slot-die head, you can collect more data within the time available and monitor material transitions as they occur.

Its versatility allows for both roll-to-roll and sheet-based coating, and the ability to program and control your coating autonomously enables you to collect more data faster.

Autonomous

  • SW controlled wet film thickness

  • Remote controlled via PC or tablet

  • Automatic coating and switching of inks/slurries

  • Self-cleaning slot-die system

  • Upload and saving of recipes

      Remote and self-cleaning
      Sheet-to-sheet and Roll-to-roll

      Versatile

      • Sheet-to-sheet and roll-to-roll for monitoring coating and annealing phases (wet, wet to dry or dry)

      • Interchangeable microporous substrate holder

      • Small footprint

      • Easy to move around

        Cost-efficient

        • Programmable software and remote operation allows for optimizing data collection

        • Autonomous control, automatic switching of inks and self-cleaning slot-die head increases “up-time”

        • Small foot-print and easy change of configuration from roll-coating to sheet coating reduces set-up time and allows you to do more with the same machine

        Inks and data

        Hear from one of our experts, Matteo Ciambezi, Ph.D.

        Would the photonR2R be the right fit for you?

        We’d be excited to hear about your research and help you in any way we can


        Talk to a specialist

        Want to know the details?

        Get the FOM photonR2R datasheet

        Datasheet for FOM photonR2R