S
Subramanian K. R. S. Sankaranarayanan
Researcher at Argonne National Laboratory
Publications - 247
Citations - 6892
Subramanian K. R. S. Sankaranarayanan is an academic researcher from Argonne National Laboratory. The author has contributed to research in topics: Surface acoustic wave & Oxide. The author has an hindex of 38, co-authored 219 publications receiving 5072 citations. Previous affiliations of Subramanian K. R. S. Sankaranarayanan include Anna University & University of South Florida.
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Journal ArticleDOI
Macroscale superlubricity enabled by graphene nanoscroll formation
Diana Berman,Sanket A. Deshmukh,Subramanian K. R. S. Sankaranarayanan,Ali Erdemir,Anirudha V. Sumant +4 more
TL;DR: Simulations showed that sliding of the graphene patches around the tiny nanodiamond particles led to nanoscrolls with reduced contact area that slide easily against the amorphous diamondlike carbon surface, contributing to superlubricity at engineering scale.
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Carbon-based tribofilms from lubricating oils
Ali Erdemir,Giovanni Ramirez,Osman Eryilmaz,Badri Narayanan,Yifeng Liao,Ganesh Kamath,Subramanian K. R. S. Sankaranarayanan +6 more
TL;DR: In operando formation of carbon-based tribofilms via dissociative extraction from base-oil molecules on catalytically active, sliding nanometre-scale crystalline surfaces is described, enabling base oils to provide not only the fluid but also the solid trib ofilm.
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Machine learning enabled autonomous microstructural characterization in 3D samples
Henry Chan,Mathew J. Cherukara,Troy D. Loeffler,Badri Narayanan,Badri Narayanan,Subramanian K. R. S. Sankaranarayanan,Subramanian K. R. S. Sankaranarayanan +6 more
TL;DR: This work introduces an unsupervised machine learning (ML) based technique for the identification and characterization of microstructures in three-dimensional samples obtained from molecular dynamics simulations, particle tracking data, or experiments that combines topology classification, image processing, and clustering algorithms.
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Extraordinary Macroscale Wear Resistance of One Atom Thick Graphene Layer
Diana Berman,Sanket A. Deshmukh,Subramanian K. R. S. Sankaranarayanan,Ali Erdemir,Anirudha V. Sumant +4 more
TL;DR: In this paper, the macroscopic wear resistance of one atom thick graphene coating is reported by subjecting it to pin-on-disc type wear testing against most commonly used steel against steel tribo-pair.
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Molecular dynamics simulation study of the melting of Pd-Pt nanoclusters
TL;DR: In this article, the thermal properties of bimetallic Pt-Pd nanoclusters of different sizes and compositions were investigated through molecular dynamics simulations using quantum Sutton-Chen (QSC) many-body potentials.