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  2. Additive Manufacturing Flier

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/AM_1.pdf
    15 Oct 2022: But it is a major challenge to design AMmaterials and ensure repeatable AM processes. ... Next stepsContact us to book a demo tailored for your application.Visit our website to download white papers and subscribeto our newsletter.
  3. Intellegens for Plastics

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Plastics_1.pdf
    15 Oct 2022: This usually relies on costly, time-consuming experimental programs, plus insights fromsimulation and production. ... The Importance Chartprovides insight into which inputsdrive which outputs. Next stepsContact us to book a demo tailored for your
  4. Machine learning forbattery applications Optimise battery…

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Batteries_2.pdf
    15 Oct 2022: Machine learning forbattery applications. Optimise battery formulationsand manufacturing parameters. Save time and cost with fewerexperiments. ... Next stepsContact us to book a demo tailored for your application.Visit our website to download white
  5. Intellegens for Chemicals

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Chemicals_Industry_1.pdf
    15 Oct 2022: Accelerate innovation forchemicals and processes. Optimise chemicals,formulations, and chemicalprocesses, exploiting all availabledata. ... The Importance Chartprovides insight into which inputsdrive which outputs. Next stepsContact us to book a demo
  6. Data-driven design anddevelopment of Materials Design materials,…

    www.tcm.phy.cam.ac.uk/~gjc29/flyers/Materials_Industry_1.pdf
    15 Oct 2022: They do a lot ofexpensive experiment, testing, and simulation to identify thebest candidates. ... Next stepsContact us to book a demo tailored for your application.Visit our website to download white papers and subscribeto our newsletter.

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