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 (3rd 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)
