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Manjula I. Nandasiri

Researcher at Environmental Molecular Sciences Laboratory

Publications -  48
Citations -  1796

Manjula I. Nandasiri is an academic researcher from Environmental Molecular Sciences Laboratory. The author has contributed to research in topics: Thin film & Sputtering. The author has an hindex of 17, co-authored 48 publications receiving 1460 citations. Previous affiliations of Manjula I. Nandasiri include Pacific Northwest National Laboratory & Montana State University.

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In Situ One-Step Synthesis of Hierarchical Nitrogen-Doped Porous Carbon for High Performance Supercapacitors

TL;DR: The route is scalable in that multi-gram quantities of nitrogen-doped porous carbons are easily produced and the importance of nitrogen dopants in the charge storage process is demonstrated.
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Adsorption, separation, and catalytic properties of densified metal-organic frameworks

TL;DR: In this article, the properties and applications of densified metal-organic frameworks with different metal clusters and organic linkers are discussed, as well as the methods that increase the packing density in MOFs (for example, intentional interpenetration, etc.).
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Controlling Porosity in Lignin‐Derived Nanoporous Carbon for Supercapacitor Applications

TL;DR: This work demonstrates that low molecular weight lignin yields highly porous carbon with more graphitization through direct carbonization without additional activation processes or templating agents, and is a good candidate for supercapacitor electrode materials.
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Polyamidoamine dendrimer-based binders for high-loading lithium–sulfur battery cathodes

TL;DR: In this paper, the application of polyamidoamine (PAMAM) dendrimers as functional binders in Li-S batteries was investigated, and it was demonstrated that high active material loadings (>4 millimeters−2) can be easily achieved using simple processing methods.
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In Situ Chemical Imaging of Solid-Electrolyte Interphase Layer Evolution in Li–S Batteries

TL;DR: In this paper, an in situ X-ray photoelectron spectroscopy (XPS) and chemical imaging analysis combined with ab initio molecular dynamics (AIMD) computational modeling is presented to gain fundamental understanding regarding the evolution of SEI layers on Li-anodes within Li-S batteries.