Srikanth Patala

Assistant Professor

  • 919-515-3039
  • Engineering Building I (EB1) 3028C
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Research will be focused on developing computational and analytical techniques to quantify the structure-property relationships in complex heterogeneous materials. Specific areas of interest currently include the analysis of interfacial properties; the role of interfaces in influencing the mechanical and transport-related phenomena in structural materials; statistical analysis and characterization of complex microstructures. We utilize state-of-art experimental techniques to quantify 3D microstructural features and incorporate these aspects in a variety of computational methods to facilitate more accurate modeling of both processing-structure and structure-property relationships. These characterization and computational methods will provide essential tools, which are expected to be an integral part of the design process involved in microstructure optimization.

Dr. Patala’s research interests include structural characterization and quantification of structure-property relationships across multiple length scales; statistical analysis of defects and their interactions in polycrystalline materials; and in developing inverse design principles for optimizing performance in structural and functional materials.

Education

Ph.D. 2011

Materials Science and Engineering

Massachusetts Institute of Technology

M.S. 2008

Materials Science and Engineering

Massachusetts Institute of Technology

B. Tech 2005

Metallurgical and Materials Engineering

Indian Institute of Technology Madras

Honors and Awards

  • AFOSR Young Investigator Program Award, 2016
  • NSF Early CAREER Award, 2016
  • James Clerk Maxwell Young Writers Prize, Philosophical Magazine & Letter, 2011
  • Outstanding PhD Thesis Research Award, Department of Materials Science and Engineering, MIT, 2011

Publications

A phase-field approach for modeling equilibrium solute segregation at the interphase boundary in binary alloys
Kadambi, S. B., Abdeljawad, F., & Patala, S. (2020), Computational Materials Science, 175, 109533. https://doi.org/10.1016/j.commatsci.2020.109533
Short-range order structure motifs learned from an atomistic model of a Zr50Cu45Al5 metallic glass
Maldonis, J. J., Banadaki, A. D., Patala, S., & Voyles, P. M. (2019), ACTA MATERIALIA, 175, 35–45. https://doi.org/10.1016/j.actamat.2019.05.002
Understanding grain boundaries - The role of crystallography, structural descriptors and machine learning
Patala, S. (2019), COMPUTATIONAL MATERIALS SCIENCE, 162, 281–294. https://doi.org/10.1016/j.commatsci.2019.02.047
An efficient Monte Carlo algorithm for determining the minimum energy structures of metallic grain boundaries
Banadaki, A. D., Tschopp, M. A., & Patala, S. (2018), Computational Materials Science, 155, 466–475. https://doi.org/10.1016/j.commatsci.2018.09.017
A three-dimensional polyhedral unit model for grain boundary structure in fcc metals
Banadaki, A. D., & Patala, S. (2017), Npj Computational Materials, 3(1). https://doi.org/10.1038/s41524-017-0016-0
Approximating coincidence - turning a new page for bicrystallography
Patala, S. (2017), Acta Crystallographica A-Foundation and Advances, 73, 85–86. https://doi.org/10.1107/s2053273317003321
Mapping 180 degrees polar domains using electron backscatter diffraction and dynamical scattering simulations
Burch, M. J., Fancher, C. M., Patala, S., Graef, M. D., & Dickey, E. C. (2017), Ultramicroscopy, 173, 47–51. https://doi.org/10.1016/j.ultramic.2016.11.013
Thermodynamic stabilization of precipitates through interface segregation: Chemical effects
Kadambi, S. B., & Patala, S. (2017), Physical Review Materials, 1(4). https://doi.org/10.1103/physrevmaterials.1.043604
A high-throughput technique for determining grain boundary character non-destructively in microstructures with through-thickness grains
Seita, M., Volpi, M., Patala, S., McCue, I., Schuh, C. A., Diamanti, M. V., … Demkowicz, M. J. (2016), Npj Computational Materials, 2(1). https://doi.org/10.1038/NPJCOMPUMATS.2016.16
A simple faceting model for the interfacial and cleavage energies of Sigma 3 grain boundaries in the complete boundary plane orientation space
Banadaki, A. D., & Patala, S. (2016), Computational Materials Science, 112, 147–160. https://doi.org/10.1016/j.commatsci.2015.09.062

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