Rohit Ramanathan

Ph.D. Candidate

Voorhees Research Group
ONR MURI: Understanding  Corrosion in 4D
Office: Cook 4028


Northwestern University - Evanston, IL
Dept. of Materials Science and Engineering
Sept. 2015 - present

Cornell University - Ithaca, NY
B.S. magna cum laude with Honors in Materials Science and Engineering
Aug. 2011 - May 2015

Research Interests:

Rohit is interested in developing theories and using computer simulations to understand microstructure formation and evolution in materials. His work is focused on understanding the early stages of oxidation and corrosion of alloys as part of the ONR MURI "Understanding Corrosion in 4D".

Rohit's work involves understanding the phenomenon of passivity of metals due to the formation of thin oxide film on their surfaces. In particular he is interested in the development of models for oxide growth that are based on point defect diffusion and can account for heterogeneities in oxide composition and interfacial morphology. To this end, he has developed a mean-field model of NiO island growth and coalescence during "pre-Cabrera-Mott" oxidation, as a modified point defect model and morphological stability analysis for passive film growth in aqueous environment. Currently, he is analyzing the phenomenon of "non-equilibrium solute capture" using irreversible thermodynamics in order understand the driving forces for this process and predict non-equilibrium oxide compositions.


1. R. Ramanathan and P.W. Voorhees, "Morphological Stability of Steady-State Passive Oxide Films," Electrochim. Acta 303 (2019).

2. S. Honrao, B.E. Anthonio, R. Ramanathan, J.J. Gabriel, and R.G. Hennig, "Machine learning of ab-initio energy landscapes for crystal structure predictions," Comp. Mater. Sci. 158 (2019).

3. R. Ramanathan, G. Ramalingam, J.H. Perepezko, P. Reinke, and P.W. Voorhees, "Evolution of NiO Island Size Distributions During the Oxidation of a Ni-5Cr Alloy: Experiment and Modeling," ACS Appl. Mater. Interf. 10(10) (2018).

4. A.K. Singh, B.C. Revard, R. Ramanathan, M. Ashton, F. Tavazza, and R.G. Hennig, "Genetic algorithm prediction of two-dimensional group-IV dioxides for dielectrics," Phys. Rev. B95(15), 155426 (2017).


Northwestern University (2015-present):

1. Searle Center Graduate and Postdoctoral Learning Workshop Facilitator (2019)
a. "Keeping Your Students Engaged: Active Learning in STEM Classrooms"
2.  Searle Center Teaching Consultant (2017-present)
3. Teaching Assistant: MATSCI 408 - Phase Transformations in Materials (2017, 2018)
4. New TA Conference Workshop Facilitator (2017, 2018)
a. "TAing in Engineering: The Key is Being Prepared" (2017, 2018)
b. "Choosing and Using Classroom Assessment Techniques" (2017)
c. "Maintaining Your Students' Attention: Active Learning in STEM Classrooms" (2018)
5. Teaching Certificate Program (2017-2018)
a. Course Design Project: "Mathematical Methods for Materials Scientists"
6. CIRTL Associate

Cornell University (2011-2015):

1. Teaching Assistant: MSE 3110 - Junior Lab I (2014)
2. Academic Excellence Workshop Facilitator for CS 1112 - Introduction to Computing Using MATLAB (2013-2015)
3. Collaborative Learning Group Leader for MATH 1910 - Calculus for Engineers (2014)
4. Peer Tutor (2012-2015)
a. CS 1112: Introduction to Computing Using MATLAB
b. MATH 1920: Multivariable Calculus for Engineers
c. Physics 1112: Physics I - Mechanics and Heat
d. Physics 2213: Physics II - Electromagnetism