• Over 350 publications including:
  • over 300 papers
  • Editor/co-editor of 16 monographs and conference proceedings
  • Over 20 invited book and encyclopedia chapters and review articles
• Over 300 invited lectures and presentations

Some Recent Publications

• Tracking Dynamics of Glass Formers and Modifiers via Correlation Maps of Molecular Dynamics Simulation; Ruhil Dongal, Tianmu Zhang and Krishna Rajan; Journal of the American Ceramic Society; doi: 10.1111/jace.17280 (2020)
• Machine Learning Aided Identification of Single Atom Alloy Catalysts"; Aparajita Dasgupta, Yingjie Gao, Scott Broderick; E. Bruce Pitman and Krishna Rajan: Journal of Physical Chemistry Part C; doi:10.1021/acs.jpcc.0c01492 (2020)
• Modularity Optimization for Fast Automated Detection of Solute Clusters in Atom Probe Tomography: Arpan Mukherjee, Scott Broderick, Krishna Rajan; Journal of Vacuum Science and Technology; A38, 033207 (2020)
• Data-driven visualization schema of a materials informatics curriculum: Convergence of materials science and information science: E. Einarsson, O. Wodo, P. Nalam, S. Broderick, K. Reyes, E.B.Pitman and K. Rajan: MRS Advances; doi: 10.1557/adv.2020.32 (2020)
• A data analytics approach for rational design of nanomedicines with programmable drug release  Adam S. Mullis, Scott R. Broderick, Andrea Binnebose, Nathan Peroutka-Bigus, Bryan Bellaire, Krishna Rajan and Balaji Narasimhan; Molecular Pharmaceutics 16,5, 1917-1928 (2019)
• A Picture is Worth a Thousand Words: Applying Natural Language Processing Tools for Creating a Quantum Materials Database Map: V. Venugopal, S. Broderick and K. Rajan; MRS Communications doi:10.1557/mrc.2019.136 (2019)
• Probabilistic Assessment of Glass Forming Ability Rules for Metallic Glasses Aided by  Automated Analysis of Phase Diagrams: A.Dasgupta, SR Broderick, C. Mack, B U Kota, R.Subramanian, S. Setlur, V. Govindaraju, Krishna Rajan; Nature Scientific Reports  9:357; DOI:10.1038/s41598-018-36224-3  (2019)
• Advancing and Accelerating Materials Innovation: New Frontiers for the Materials Genome Initiative Juan J. de Pablo et.al; NPJ Computational Materials Science (2019)
• Data‐driven glass/ceramic science research: Insights from the glass and ceramic and data science/informatics communities: E. De Guirre et.al; J. American Ceramic Society; (2019)
• Correlative Analysis of Metal Organic Framework Structures through Manifold Learning of Hirshfeld  Surfaces: X. Shen, T. Zhang, S. Broderick and K.Rajan;  Molecular Systems  Design and Engineering; DOI: 10.1039/c8me00014j (2018)
• Automated Analysis of Phase Diagrams; B.U. Kota, R.R.Nair, S.Setlur, A. Dasgupta, S.R.Broderick, V. Govindaraju and K. Rajan; Intl. Workshop on Graphic Recognition (GREC), Proceedings of ICDAR, Kyoto, Japan- Springer Lecture Notes in Computer Science;   Editors: Alicia Fornés and Bart Lamiroy, Springer (2018)
• Data Centric Science for Materials Innovation: Guest editors: I. Tanaka, K.Rajan and C. Wolverton –MRS Bulletin 43 (9) ( 2018)
• Topological Data Analysis for the Characterization of Atomic Scale Morphology from Atom Probe Tomography Images  T. Zhang, S.R.Broderick and K.Rajan in Nanoinformatics;  ed. I. Tanaka; Springer (2018)
• Nanoinformatics: materials design for health and environmental needs:  in Nanotechnology Environmental Health and Safety:  Risks, Regulation and Management (3^rd edition) Edited by Matthew Hull and Diana Bowman Elsevier, Oxford (2018)
• Discovering Chemical Site Occupancy-Modulus Correlations in Ni Based Intermetallics via  Statistical Learning : S. Broderick, A. Kumar, A.A. Oni, J.M. LeBeau, S.B. Sinnott and K.Rajan;  Computational Condensed Matter 14 8-14 (2018)
• A Fast Hybrid Methodology based on Heuristics and Quantum Methods for Evaluating Materials Properties:  C.S. Kong, M. Haverty, H. Simka, S. Shankar and K. Rajan; Modeling and Simulation in Materials Science and Engineering –  25 065014 (2017)