Anurag Bajpai

Dr. Anurag Bajpai is a Research Fellow and Project Group Leader of the "Artificial Intelligence for Materials Science" group at the Max Planck Institute for Sustainable Materials in Düsseldorf, Germany. He holds a Ph.D. and M.Tech in Materials Science and Engineering from the Indian Institute of Technology, Kanpur (2017–2023), and a B.E. in Materials and Metallurgical Engineering from Punjab Engineering College, Chandigarh (2011–2015). His research focuses on integrating AI with experimental materials science to advance sustainable alloy design, particularly in metallic glasses and multicomponent alloys.

Research Interests include:

• Machine learning-driven alloy/process design
• Thermal and mechanical behavior of metallic glasses
• Electronic waste recycling and green metallurgy
• Molecular dynamics simulations
• Process kinetics optimization

His current work emphasizes sustainable materials development using scrap steel and reducing environmental impacts.

Key Contributions include pioneering machine learning approaches for glass formation prediction (2022–2023), developing AI models for high-entropy alloy design (2024), and advancing cryomilling techniques for waste beneficiation. His group's work on attention-enhanced variational learning (2025) has pushed boundaries in ultra-hard metallic glass design.

Awards include the prestigious Alexander von Humboldt Postdoctoral Fellowship (2024–present). His research has been published in 20+ articles, with notable contributions in AI-driven materials discovery and sustainable waste management.