MIRDC and Dassault Systèmes Forge AI and Hydrogen Partnership to Boost Industrial Innovation
Metal Industries Research and Development Centre (MIRDC) has signed a memorandum of understanding with Dassault Systèmes to collaborate on advanced technologies spanning hydrogen energy and artificial intelligence.
The agreement, formalised in Kaohsiung, reflects growing efforts to align industrial innovation with both digital transformation and global decarbonization goals. It also underscores strengthening technological ties between Taiwan and France.
Central to the partnership is the use of Dassault Systèmes’ “Virtual Twin” technology and its 3DEXPERIENCE platform, which enable highly detailed digital simulations of physical systems. These tools are expected to support research and development across sectors such as energy, semiconductors, and advanced manufacturing.
The collaboration will focus on two primary areas. In hydrogen energy, the partners aim to improve the durability and safety of high-pressure hydrogen components by combining MIRDC’s materials expertise with advanced simulation capabilities. This includes work on fatigue testing and performance analysis of hydrogen infrastructure.
In parallel, the partnership will address thermal management challenges in AI servers, an increasingly critical issue as demand for high-performance computing grows. By integrating simulation tools and AI-driven design approaches, the initiative seeks to optimize energy efficiency and cooling performance in next-generation data infrastructure.
MIRDC Chairwoman Chia-Ru Liu said the collaboration strengthens the organization’s global R&D position and provides Taiwanese manufacturers with access to cutting-edge AI tools. Sebastien Gautier, who represented the company at the signing, highlighted the role of digital simulation in accelerating innovation across complex industrial systems.
The partnership is expected to support Taiwan’s broader industrial transformation, enhancing supply chain resilience and enabling companies to move toward more advanced, AI-driven manufacturing ecosystems.
