FusionTwin is cloud-based simulations and data analysis using NSFsim, our tokamak simulator, and validated digital replicas of real tokamaks.
The project was completed in two months by a team of four: I as the UX/UI designer, a full-stack developer, a product manager, and a back-end developer, creating a cloud platform for accessible tokamak simulations and data analysis.
2024, 2 months
Product Designer
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Modern fusion simulation tools are often complex, require specialized software, and depend on powerful computing infrastructure. This creates barriers for students and early-career researchers, limiting their ability to learn and participate in scientific experiments.
Fusion Twin is a cloud-based platform with a clean, user-friendly interface that enables tokamak simulations and plasma data analysis directly in the browser. With intuitive UX and responsive design, it empowers students and scientists to run experiments and use ML models without technical friction — even on mobile devices.
To design a product that meets the needs of students and researchers, I conducted interviews and surveys across university departments, gathering insights into their challenges with digital twin technology. A literature review of academic papers further deepened my understanding of the field. The research highlighted the steep learning curve students face and the need for tools that are both user-friendly and accessible, especially in resource-constrained environments.
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The insights gathered during the research phase were synthesized to define the core challenges faced by the target audience.
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The insights gathered during the research phase were synthesized to define the core challenges faced by the target audience.
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After selecting the best ideas, I created a functional prototype and high-fidelity mockups focused on a clean, intuitive design for both students and researchers. Interactive prototypes were tested within university settings, yielding positive feedback. Students appreciated the guided learning modules, while researchers valued the customizable tools for adapting the platform to their projects.
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To ensure the final product met the academic community's needs, I engaged in rigorous testing and iteration. I established a continuous feedback loop with university partners, allowing for ongoing input and adjustments. Based on this feedback, I simplified the onboarding process and added resources for researchers, such as advanced data visualization options and collaboration tools, to enhance their experience.
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The Fusion Twin platform was developed in just 3 months by a small team of 5 people, including developers, a designer, a manager, and a mathematician. It is the first SaaS solution in nuclear fusion research that enables users to run advanced tokamak simulations and analyze data directly from their browser or mobile devices without additional software. The platform is already being used by students and researchers worldwide, improving navigation efficiency by 30% and democratizing access to complex plasma simulations.