SOURCE-LINKED INTELLIGENCE
Sustainable Surface Engineering with AI, Multiscale Modeling, and Additive Manufacturing for Enhanced Phase-Change Heat Transfer
ultiscale Modeling, and Additive Manufacturing for Enhanced Phase-Change Heat Transfer The SurPhase project is dedicated to training the next generation of experts in sustainable surface engineering, artificial intelligence, numerical modeling, and additive manufacturing for phase-change heat transfer applications. 12 Doctoral Candidates will receive world-class training combining advanced research, industrial experience, and transferable skills through a multidisciplinary international consortium. This program will prepare DCs to tackle global energy challenges, equipping them with expertise in cutting edge technologies and fostering their career development in academia and industry. The project focuses on revolutionizing phase-change processes, boiling, and condensation, which are fundamental to energy, water, and cooling systems. Traditional approaches are often limited by inefficient surface designs and environmentally harmful coolants. SurPhase addresses these challenges by integrating advanced surface engineering, AI-driven optimization, multiscale numerical modeling, and AM
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 3631958.64
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T05:31:32.981Z. This is not the publication date.