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Chris John

Researcher at Indian Institute of Science Education and Research, Thiruvananthapuram

Publications -  12
Citations -  112

Chris John is an academic researcher from Indian Institute of Science Education and Research, Thiruvananthapuram. The author has contributed to research in topics: Chemistry & Medicine. The author has an hindex of 4, co-authored 8 publications receiving 77 citations.

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Graphynes: indispensable nanoporous architectures in carbon flatland

TL;DR: Theoretical design and experimental realization of novel nanoporous architectures in carbon membranes has been a success story in recent times as mentioned in this paper, and graphynes, an interesting class of materials in carbon flatland, have contributed immensely to this success story.
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Selective Permeation through One-Atom-Thick Nanoporous Carbon Membranes: Theory Reveals Excellent Design Strategies!

TL;DR: A review of the recent theoretical developments probing the permeation of various species such as atoms, ions, small molecules, and biopolymers like DNA through carbon frameworks like graphynes, graphdiyne, graphenylenes, and various forms of nanoporous graphene, including graphene crown ethers as discussed by the authors.
Journal Article

Selective Permeation through One-Atom-Thick Nanoporous Carbon Membranes: Theory Reveals Excellent Design Strategies! B

TL;DR: This review aims to draw the attention of the theoretical as well as the experimental researchers working on two-dimensional carbon materials toward the recent theoretical developments probing the permeation of various species through carbon frameworks like graphynes, graphdiyne, graphenylenes, and various forms of nanoporous graphene.
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Quantum Transmission of He Isotopes through Crown Ether-Embedded Graphene Nanomeshes: An Eckart Potential Approach.

TL;DR: This work examines the competing nature of the zero-point energy effects and tunneling effects in governing the total quantum transmission of the isotopes and suggests that crown ether embedded graphene nanomeshes are a class of promising carbon membranes for He isotope separation.
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A swarm intelligence modeling approach reveals noble gas cluster configurations confined within carbon nanotubes

TL;DR: The proposed implementation involves integrating the continuum approximation for CNTs with the well-known swarm intelligence technique, particle swarm optimization (PSO), followed by a deterministic local optimization, to predict the optimal CNT radii for the encapsulation of each of the clusters.