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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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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Naji, M.
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Mukhopadhyay, Tanmoy

  • Google
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University of Southampton

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (43/43 displayed)

  • 2024Nonlinear stability of curved multi-phase composite panels: influence of agglomeration in randomly distributed carbon nanotubes with non-uniform in-plane loads1citations
  • 2023Programmable multi-physical mechanics of mechanical metamaterials98citations
  • 2023Manipulating flexural waves to enhance the broadband vibration mitigation through inducing programmed disorder on smart rainbow metamaterials19citations
  • 2023Multilevel fully integrated electromechanical property modulation of functionally graded graphene‐reinforced piezoelectric actuators: coupled effect of poling orientation11citations
  • 2023On characterizing the viscoelastic electromechanical responses of functionally graded graphene-reinforced piezoelectric laminated composites6citations
  • 2023Microstructural image based convolutional neural networks for efficient prediction of full-field stress maps in short fiber polymer composites23citations
  • 2023Viscoelastic free vibration analysis of in-plane functionally graded orthotropic plates integrated with piezoelectric sensors: Time-dependent 3D analytical solutions27citations
  • 2023Programmed Out-of-Plane curvature to enhance multimodal stiffness of bending-dominated composite lattices8citations
  • 2023Effective elastic moduli of space-filled multi-material composite lattices10citations
  • 2023Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of nano-projectiles20citations
  • 2023Multi-fidelity machine learning based uncertainty quantification of progressive damage in composite laminates through optimal data fusion15citations
  • 2022Voltage modulation of elastic properties of asymmetric hybrid lattice structure1citations
  • 2022Unfolding the mechanical properties of buckypaper composites: nano- to macro-scale coupled atomistic-continuum simulations13citations
  • 2022Modified embedded-atom method interatomic potentials for Al-Cu, Al-Fe and Al-Ni binary alloys: from room temperature to melting point54citations
  • 2022Damage modeling of MWCNT reinforced Carbon/Epoxy composite using different failure criteria: a comparative study3citations
  • 2022Damage modeling of MWCNT reinforced Carbon/Epoxy composite using different failure criteria: a comparative study3citations
  • 2022High-velocity ballistics of twisted bilayer graphene under stochastic disordercitations
  • 2022Multiscale bending and free vibration analyses of functionally graded graphene platelet/fiber composite beamscitations
  • 2022Liquid ordering induced heterogeneities in homogeneous nucleation during solidification of pure metals17citations
  • 2022Liquid ordering induced heterogeneities in homogeneous nucleation during solidification of pure metals17citations
  • 2022Experimental data-driven uncertainty quantification for the dynamic fracture toughness of particulate polymer composites15citations
  • 2022Probability-based unified sensitivity analysis for multi-objective performances of composite laminates: a surrogate-assisted approach17citations
  • 2021Broadband dynamic elastic moduli of honeycomb lattice materials: a generalized analytical approach51citations
  • 2021Voltage-dependent modulation of elastic moduli in lattice metamaterials47citations
  • 2020Genetic programming-assisted multi-scale optimization for multi-objective dynamic performance of laminated composites: the advantage of more elementary-level analyses48citations
  • 2019Negative In-plane Elastic Moduli of Metallic Lattices: Experimental Investigationscitations
  • 2019Probing the frequency-dependent elastic moduli of lattice materials41citations
  • 2019Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites51citations
  • 2019Frequency domain homogenization for the viscoelastic properties of spatially correlated quasi-periodic lattices68citations
  • 2018Spatial vulnerability analysis for the first ply failure strength of composite laminates including effect of delamination59citations
  • 2018Probing the shear modulus of two-dimensional multiplanar nanostructures and heterostructures58citations
  • 2018Probing the chirality-dependent elastic properties and crack propagation behavior of single and bilayer stanene30citations
  • 2017Stochastic mechanics of metamaterials84citations
  • 2017Metamodel based high-fidelity stochastic analysis of composite laminates132citations
  • 2016Free-vibration analysis of sandwich panels with randomly irregular honeycomb core93citations
  • 2016Effect of platen restraint on stress–strain behavior of concrete under uniaxial compression15citations
  • 2016Fuzzy uncertainty propagation in composites using Gram-Schmidt polynomial chaos expansion75citations
  • 2016Probabilistic analysis and design of HCP nanowires46citations
  • 2016Effective in-plane elastic properties of auxetic honeycombs with spatial irregularity107citations
  • 2016Equivalent in-plane elastic properties of irregular honeycombs78citations
  • 2016Bottom up surrogate based approach for stochastic frequency response analysis of laminated composite plates55citations
  • 2015Stochastic natural frequency of composite conical shells46citations
  • 2015Stochastic free vibration analysis of angle-ply composite plates - A RS-HDMR approach76citations

Places of action

Chart of shared publication
Kumar, R.
1 / 56 shared
Chakraborty, S.
1 / 13 shared
Naskar, Susmita
7 / 19 shared
Dey, T.
1 / 7 shared
Sinha, P.
1 / 3 shared
Dey, S.
10 / 19 shared
Machado, M. R.
1 / 1 shared
Moura, B. B. De
1 / 1 shared
Singh, Kamalpreet
1 / 3 shared
Shingare, Kishor Balasaheb
1 / 3 shared
Mondal, Soumyadeep
1 / 1 shared
Shingare, K. B.
1 / 2 shared
Kushvaha, V.
2 / 2 shared
Gupta, S.
1 / 15 shared
Kumari, P.
1 / 6 shared
Singh, A.
2 / 32 shared
Tiwari, Pratik
1 / 1 shared
Adhikari, Sondipon
4 / 9 shared
Kundu, Diptiman
1 / 1 shared
Gupta, K. K.
2 / 6 shared
Chahar, R. S.
1 / 2 shared
Singh, Amanpreet
1 / 2 shared
Bhattacharya, Bishakh
1 / 3 shared
Mukherjee, S.
1 / 14 shared
Chandra, Y.
1 / 5 shared
Adhikari, S.
15 / 24 shared
Mahata, Avik
4 / 4 shared
Zaeem, Mohsen Asle
2 / 3 shared
Bhowmik, Krishnendu
2 / 5 shared
Tarfaoui, Mostapha
2 / 101 shared
Chowdhury, Amit Roy
1 / 1 shared
Khutia, Niloy
2 / 5 shared
Lafdi, Khalid
2 / 32 shared
Roy Chowdhury, Amit
1 / 4 shared
Roy, L.
1 / 4 shared
Li, L.
1 / 90 shared
Garg, A.
1 / 6 shared
Belarbi, M. O.
1 / 1 shared
Sahoo, R.
1 / 4 shared
Chalak, H. D.
1 / 2 shared
Asle Zaeem, Mohsen
1 / 1 shared
Sharma, A.
1 / 38 shared
Chakraborty, A.
1 / 5 shared
Maity, S. R.
1 / 1 shared
Kushari, S.
1 / 1 shared
Liu, X.
1 / 54 shared
Bhattacharya, B.
1 / 2 shared
Kalita, Kanak
1 / 7 shared
Haldar, Salil
1 / 1 shared
Dey, Partha
1 / 1 shared
Lavery, Nicholas P.
1 / 3 shared
Shaw, Alex
1 / 1 shared
Alu, A.
1 / 1 shared
Sriramula, Srinivas
1 / 9 shared
Batou, A.
1 / 1 shared
Karsh, P. K.
1 / 3 shared
Mahata, A.
2 / 5 shared
Zaeem, M. Asle
1 / 1 shared
Waseem, S. A.
1 / 3 shared
Singh, B.
1 / 16 shared
Iqbal, M. A.
1 / 3 shared
Kumar, S.
1 / 105 shared
Khodaparast, H. Haddad
1 / 1 shared
Heinrich, G.
1 / 38 shared
Spickenheuer, A.
1 / 3 shared
Khodaparast, H. H.
1 / 1 shared
Dey, Sudip
1 / 1 shared
Chart of publication period
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2023
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Co-Authors (by relevance)

  • Kumar, R.
  • Chakraborty, S.
  • Naskar, Susmita
  • Dey, T.
  • Sinha, P.
  • Dey, S.
  • Machado, M. R.
  • Moura, B. B. De
  • Singh, Kamalpreet
  • Shingare, Kishor Balasaheb
  • Mondal, Soumyadeep
  • Shingare, K. B.
  • Kushvaha, V.
  • Gupta, S.
  • Kumari, P.
  • Singh, A.
  • Tiwari, Pratik
  • Adhikari, Sondipon
  • Kundu, Diptiman
  • Gupta, K. K.
  • Chahar, R. S.
  • Singh, Amanpreet
  • Bhattacharya, Bishakh
  • Mukherjee, S.
  • Chandra, Y.
  • Adhikari, S.
  • Mahata, Avik
  • Zaeem, Mohsen Asle
  • Bhowmik, Krishnendu
  • Tarfaoui, Mostapha
  • Chowdhury, Amit Roy
  • Khutia, Niloy
  • Lafdi, Khalid
  • Roy Chowdhury, Amit
  • Roy, L.
  • Li, L.
  • Garg, A.
  • Belarbi, M. O.
  • Sahoo, R.
  • Chalak, H. D.
  • Asle Zaeem, Mohsen
  • Sharma, A.
  • Chakraborty, A.
  • Maity, S. R.
  • Kushari, S.
  • Liu, X.
  • Bhattacharya, B.
  • Kalita, Kanak
  • Haldar, Salil
  • Dey, Partha
  • Lavery, Nicholas P.
  • Shaw, Alex
  • Alu, A.
  • Sriramula, Srinivas
  • Batou, A.
  • Karsh, P. K.
  • Mahata, A.
  • Zaeem, M. Asle
  • Waseem, S. A.
  • Singh, B.
  • Iqbal, M. A.
  • Kumar, S.
  • Khodaparast, H. Haddad
  • Heinrich, G.
  • Spickenheuer, A.
  • Khodaparast, H. H.
  • Dey, Sudip
OrganizationsLocationPeople

article

Programmable multi-physical mechanics of mechanical metamaterials

  • Sinha, P.
  • Mukhopadhyay, Tanmoy
Abstract

<p>Mechanical metamaterials are engineered materials with unconventional mechanical behavior that originates from artificially programmed microstructures along with intrinsic material properties. With tremendous advancement in computational and manufacturing capabilities to realize complex microstructures over the last decade, the field of mechanical metamaterials has been attracting wide attention due to immense possibilities of achieving unprecedented multi-physical properties which are not attainable in naturally-occurring materials. One of the rapidly emerging trends in this field is to couple the mechanics of material behavior and the unit cell architecture with different other multi-physical aspects such as electrical or magnetic fields, and stimuli like temperature, light or chemical reactions to expand the scope of actively programming on-demand mechanical responses. In this article, we aim to abridge outcomes of the relevant literature concerning mechanical and multi-physical property modulation of metamaterials focusing on the emerging trend of bi-level design, and subsequently highlight the broad-spectrum potential of mechanical metamaterials in their critical engineering applications. The evolving trends, challenges and future roadmaps have been critically analyzed here involving the notions of real-time reconfigurability and functionality programming, 4D printing, nano-scale metamaterials, artificial intelligence and machine learning, multi-physical origami/kirigami, living matter, soft and conformal metamaterials, manufacturing complex microstructures, service-life effects and scalability.</p>

Topics
  • impedance spectroscopy
  • microstructure
  • metamaterial
  • machine learning