Publikationen von Akhil Sugathan Nair

Biswajit, M.; Jana, A.; Roy, J.; Mata, A. C.; Nair, A. S.; Mahendranath, A.; Roy, S.; Pathak, B.; Ajayan, P. M.; Pradeep, T.: Structure and Electrocatalytic Performance of Cocrystallized Ternary Molybdenum Oxosulfide Clusters for Efficient Water Splitting. ACS Materials Letters 5 (12), S. 3306 - 3315 (2023)

Sugathan Nair, A.: Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis. International Workshop on Data-Driven Computational and Theoretical Materials Design, Shanghai, China (2024)

Nair, A. S.: Leveraging Multi-Fidelity Data In AI-Driven Sequential Learning of Materials Properties: Identifying Stable Water Splitting Catalysts. DPG Spring Meeting of the Condensed Matter Section (SKM), Berlin, Germany (2024)

Sugathan Nair, A.: Multi-Fidelity Modelling for Materials Discovery with Sequential Learning. NOMAD Workshop on Data-centric Cruising for New and Novel Materials, Mechanisms, and Insights, Kiel, Germany (2023)

Sugathan Nair, A.; Foppa, L.; Scheffler, M.: Materials-Discovery Workflows Guided by Symbolic Regression: Identifying Acid-Stable Oxides for Electrocatalysis. (2024)

Behler, J.; Csanyi, G.; Foppa, L.; Kang, K.; Langer, M. F.; Margraf, J. T.; Sugathan Nair, A.; Purcell, T. A. R.; Rinke, P.; Scheffler, M. et al.; Tkatchenko, A.; Todorovic, M.; Unke, O. T.; Yao, Y.: Workflows for Artificial Intelligence. (2024)