Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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977 Locations available

693.932 PEOPLE
693.932 People People

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2024On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics11citations
  • 2023Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/ Al composite laminates under high-velocity ballistic impact of nano-projectiles20citations
  • 2023Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of nano-projectiles20citations
  • 2022High-velocity ballistics of twisted bilayer graphene under stochastic disordercitations
  • 2021Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs24citations
  • 2021Hybrid machine-learning-assisted quantification of the compound internal and external uncertainties of graphene: towards inclusive analysis and design16citations

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Chart of shared publication
Naskar, S.
1 / 6 shared
Barman, S.
1 / 1 shared
Mukhopadhyay, T.
4 / 20 shared
Dey, S.
6 / 19 shared
Mukhopadhyay, Tanmoy
2 / 43 shared
Roy, L.
2 / 4 shared
Roy, A.
1 / 118 shared
Naskar, Susmita
1 / 19 shared
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Co-Authors (by relevance)

  • Naskar, S.
  • Barman, S.
  • Mukhopadhyay, T.
  • Dey, S.
  • Mukhopadhyay, Tanmoy
  • Roy, L.
  • Roy, A.
  • Naskar, Susmita
OrganizationsLocationPeople

article

Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs

  • Roy, A.
  • Mukhopadhyay, T.
  • Naskar, Susmita
  • Dey, S.
  • Gupta, K. K.
Abstract

The utility of carbon nanotubes as the reinforcement agents in polymer and metal matrix composites has opened up a new avenue in the development of novel composite materials with exceptional strength and stiffness to weight ratios. Such exploitation of superior mechanical properties of carbon nanotubes depends on their inherent irregularities and structural integration. The nanotubular structures of carbon are prone to topological defects and heteroatom dopants due to the inevitable complexities in nano-synthesis. The objective of this article is to quantify the compound influence of such inherent structural irregularities (such as single vacancy defects and nanopores) and foreign atom inclusions (such as nitrogen and boron atoms) on the mechanical characteristics (like constitutive relation, fracture strength, failure strain and Young's moduli) of single-walled carbon nanotubes (SWCNT) under various multi-physical influences (such as temperature, strain rate, diameter and chirality) based on molecular dynamics (MD) simulations. The current investigation also includes a detailed analysis on the variation in mechanical characteristics of CNTs under different spatial distributions of defects and doping.

Topics
  • impedance spectroscopy
  • compound
  • polymer
  • Carbon
  • inclusion
  • nanotube
  • simulation
  • molecular dynamics
  • Nitrogen
  • strength
  • composite
  • Boron
  • vacancy