V-MAD Lab
(Virtual Materials Analytics & Design Laboratory)
Designing the future of materials - 'virtually and intelligently'
Founder: Dr. Sheetal Kumar Dewangan,
Assistant Professor, Department of Materials Science & Engineering,
Ajou University
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Bridging experimental metallurgy and artificial intelligence to accelerate alloy discovery
Join the Virtual Materials Analytics & Design (V-MAD) Lab. Are you passionate about materials research, AI, and computational modeling?
The V-MAD Lab is seeking motivated researchers and students to collaborate on cutting-edge virtual projects that transcend traditional laboratory boundaries. Here, your time, skills, and computational resources contribute to a shared mission that advances materials science for the growth of everyone. Together, we design the future of materials virtually and intelligently.
If you have experience or interest in:
Computational materials science
Machine learning for alloy design and properties prediction
Thermodynamic and phase-field modeling
Data-driven materials discovery and properties
📩 Send your details, computational skills, and interest areas to: sheetal@ajou.ac.kr
About V-MAD Lab
About V-MAD Lab
Virtual Materials Analytics & Design (V-MAD) Lab aims to revolutionize materials research by integrating experimental metallurgy with artificial intelligence and computational modeling. Our focus is on developing virtual frameworks that can predict, design, and optimize advanced metallic materials before they are synthesized in the lab. This approach enables accelerated alloy discovery, efficient data utilization, and sustainable innovation—making material design smarter, faster, and more collaborative.
Virtual Materials Analytics & Design (V-MAD) Lab aims to revolutionize materials research by integrating experimental metallurgy with artificial intelligence and computational modeling. Our focus is on developing virtual frameworks that can predict, design, and optimize advanced metallic materials before they are synthesized in the lab. This approach enables accelerated alloy discovery, efficient data utilization, and sustainable innovation—making material design smarter, faster, and more collaborative.
computational materials design
computational materials design
Mission Statement
Harness the synergy of AI-driven modeling and materials science for rapid discovery of high-performance alloys and functional materials, while promoting open, data-centric research that connects scientists worldwide.
Harness the synergy of AI-driven modeling and materials science for rapid discovery of high-performance alloys and functional materials, while promoting open, data-centric research that connects scientists worldwide.
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