Center for Energy Materials Commercialization through AI Transformation (AX) (E-MatAX)
KEYWORDKeyword
OBJECTIVE Objectives
We aim to overcome the performance degradation that occurs during the scale-up of energy production, conversion, and storage materials
by building an integrated materials-process AX (AI Transformation) platform.
Through an experiment–characterization–AI tri-axial cyclic research framework, we will accelerate the translation of lab-scale innovations into industrial practice,
ultimately securing national technology sovereignty in energy materials and establishing a sustainable ecosystem for nurturing AX convergence talent.
INTRODUCTION Director's Message
I am Su-Mi Hur, Director of the E-MatAX Research Center at DGIST.
Despite Korea's world-leading capabilities in energy materials, a critical technology gap persists between laboratory discovery and industrial-scale manufacturing,
causing promising breakthroughs to fall short of real-world impact.
E-MatAX was founded to close this gap through AI
By bringing together experts in materials science, process engineering, and AI under a new collaborative model driven by InnoCORE Fellows,
we will establish core AX technologies for scaling up energy production, conversion, and storage materials,
while cultivating over 50 next-generation convergence researchers in five years
IMPACT Impact
The integrated materials-process AX platform and validated feature library developed by E-MatAX
will accelerate energy materials commercialization and enhance manufacturing competitiveness
through joint demonstrations and technology transfers with industry partners.
By openly sharing the platform and expanding the IST–university collaborative research model,
we aim to contribute to the national energy transition and the advancement of strategic technology capabilities.
TALENT Ideal Talent
A researcher with deep expertise in energy materials domain science or AI model development,
driven to integrate both in tackling scale-up challenges.
A next-generation PI-caliber talent who leads cross-institutional collaboration within multidisciplinary teams,
with the ambition to translate laboratory results into industrial impact and a clear career vision in academia, industry, or entrepreneurship.