MATDB4Fusion
The future of fusion materials data
MatDB4Fusion is a comprehensive, quality-controlled materials database for fusion energy — built by and for the global fusion community. It offers a centralized platform to access, share, and analyze the physical, material, and chemical properties of materials relevant to fusion device design.
Accelerating fusion materials research through global collaboration
Commercial fusion power is within reach – but it hinges on access to robust, validated data on materials that can withstand fusion’s extreme environments.
That’s why Clean Air Task Force initiated an international working group and collaborated with the Organization for Economic Cooperation and Development’s – Nuclear Energy Agency (OECD-NEA), to launch MatDB4Fusion: a next-generation, community-driven materials database designed to support the development and deployment of fusion energy.
MatDB4Fusion will grow and evolve through collaboration, with contributions and insights from researchers, laboratories, and institutions worldwide.
About the database
Developing materials that can withstand fusion’s unique conditions requires not only experimental data but also advanced modeling and simulation capabilities. Artificial intelligence (AI) tools are essential to accelerate this process by enabling the rapid analysis of large, complex datasets, discovering patterns, predicting material behavior, and guiding experimental design.
As an independent, nonprofit organization with a strong track record of advancing climate solutions, CATF is uniquely positioned to lead this effort as an honest broker and ensure this effort is grounded in scientific integrity, transparency, and broad collaboration. CATF provides a neutral and mission-driven framework that can convene stakeholders, align public and private sector goals, and ensure that the MatDB4Fusion project remains focused on delivering equitable, clean energy outcomes.
Over the last four decades, researchers from around the world have generated vast amounts of data on candidate fusion materials – much of it unpublished, inaccessible, or lacking standardized formats. Without a unified repository, this data is difficult to leverage for fusion model development, qualification protocols, or machine learning.
MatDB4Fusion changes that by creating a shared foundation for collaboration and:
- Consolidating high-quality data from across the international research community
- Providing tools to identify data gaps and reduce duplication
- Supporting the development of machine learning algorithms for predictive material modeling
- Enabling faster, more informed fusion reactor design
The database collects summarized experimental data in a consistent, table-based format. The data can come from both published or unpublished data sources, supplemented by materials experts in the field, or shared by the original owners.
Data ownership always stays with the original provider, and users can choose how to share their data – either openly with a public license or privately with flexible options that respect intellectual property rights.
Access to the data follows rules set by OECD and its member countries.
MatDB4Fusion is a living, community-driven resource—and its success depends on the active participation of the global fusion community.
We invite researchers and academics of all backgrounds to contribute data, explore the platform, and share their feedback by contacting [email protected]
