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Bharathi Madurai Srinivasan

Researcher at Institute of High Performance Computing Singapore

Publications -  16
Citations -  586

Bharathi Madurai Srinivasan is an academic researcher from Institute of High Performance Computing Singapore. The author has contributed to research in topics: Kinetic Monte Carlo & Graphene. The author has an hindex of 10, co-authored 15 publications receiving 461 citations. Previous affiliations of Bharathi Madurai Srinivasan include Agency for Science, Technology and Research.

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Protein Induces Layer-by-Layer Exfoliation of Transition Metal Dichalcogenides

TL;DR: A general and facile method for effective layer-by-layer exfoliation of transition metal dichalcogenides and graphite in water by using protein, bovine serum albumin (BSA) to produce single-layer nanosheets, which cannot be achieved using other commonly used bio- and synthetic polymers.
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Continuous Shape Tuning of Nanotetrapods: Toward Shape-Mediated Self-Assembly

TL;DR: In this paper, a surfactant-driven method was proposed to synthesize highly monodisperse CdSe-seeded CdS tetrapods with differing arm lengths and diameters.
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Revealing the Grain Boundary Formation Mechanism and Kinetics during Polycrystalline MoS2 Growth.

TL;DR: A kinetic Monte Carlo (kMC) model aiming at predicting the grain boundary (GB) formation in the CVD/PVD growth of polycrystalline MoS2 is formulated and it is revealed that the formation of smooth/rough GB is dictated by the two growth vectors for the kink propagation at the two associated grain edges.
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Oxygen-Promoted Chemical Vapor Deposition of Graphene on Copper: A Combined Modeling and Experimental Study

TL;DR: A phase-field model is reported on, where the effects of oxygen on the number of nuclei, the energetics at the growth front, and the graphene island morphology on Cu are included, to guide the efficient growth of large single-crystal graphene of high quality.
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Origin of ultrafast growth of monolayer WSe 2 via chemical vapor deposition

TL;DR: In this paper, the authors analyze growth processes and identify two possible pathways that might achieve ultrafast growth: Path 1, fast edge attachment and ultrafast edge diffusion; Path 2, fast kink nucleation and ultra-fast kink propagation, and find that Path 1 is not viable due to the high edge diffusion barrier calculated from first-principles calculations.