Sheuly Ghosh

Dr. Sheuly Ghosh is a Researcher at the Max Planck Institute for Iron Research GmbH, affiliated with the Department of Computational Materials Design. Her work focuses on computational materials science, particularly in alloy design, magnetocaloric effects, and machine learning applications in materials characterization. She holds a PhD and has contributed to advancing understanding of complex concentrated alloys and their magnetic properties through ab initio calculations and experimental methods.

Her research interests include exploring structural stability, phase transitions, and functional properties of materials such as Heusler compounds and CrCoNi-based alloys. She utilizes advanced computational tools to predict and analyze phenomena like the magnetocaloric effect and short-range atomic ordering. Dr. Ghosh has published extensively on topics combining theory and experimentation to guide the development of next-generation functional materials.

Key research trends in her publications involve leveraging machine learning for materials imaging and property prediction, as well as investigating substitutional effects on magnetic and structural properties. No scientific awards are listed in the provided information. She is active in the academic community through her contributions to Google Scholar and LinkedIn.

Laboratory and team affiliations are not explicitly detailed, but her work is conducted within the Max Planck Institute's infrastructure, emphasizing interdisciplinary materials research.