{"id":3262,"date":"2026-01-08T17:56:47","date_gmt":"2026-01-08T16:56:47","guid":{"rendered":"https:\/\/www-preprod.cnrs-imn.fr\/themes\/"},"modified":"2026-04-03T16:14:54","modified_gmt":"2026-04-03T14:14:54","slug":"themes","status":"publish","type":"page","link":"https:\/\/www.cnrs-imn.fr\/en\/themes\/","title":{"rendered":"Themes"},"content":{"rendered":"

Four main themes
\nstrategic<\/span><\/p><\/h2><\/div>

Through four main themes, IMN contributes to the emergence of innovative solutions to major scientific, technological and environmental challenges, in the service of a sustainable and responsible materials science.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

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Energy and energy transition<\/p>\n<\/div><\/div><\/div>

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Functional materials, electronics and nanotechnology<\/p>\n<\/div><\/div><\/div>

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Sustainable materials, recycling and the circular economy<\/p>\n<\/div><\/div><\/div>

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Materials for life, materials-biology-health interface<\/p>\n<\/div><\/div><\/div><\/div><\/div>

IMN skills<\/p><\/h2><\/div>

The institute conducts fundamental and applied research combining design, multi-scale characterization, study of multiphysical properties of materials and their modeling.<\/p>\n

These complementary skills enable us to approach materials in all their complexity, from the atomic level to functional devices.<\/p>\n

1. Materials design, synthesis and shaping<\/h3>\n

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  • Synthesis of inorganic, organic and organic-inorganic hybrid materials (powders, single crystals, thin films)<\/li>\n
  • Synthesis and assembly of nanoobjects, nanostructures, nanoporous materials<\/li>\n
  • Material shaping<\/li>\n
  • Cold plasma processes for thin film deposition, nanocomposites and etching<\/li>\n
  • Metal forming processes (additive manufacturing, welding)<\/li>\n<\/ul>\n

    2. Material characterization<\/h3>\n

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    Structural characterization<\/h4>\n
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    • Structural and physico-chemical characterization of materials, nanomaterials, thin films, surfaces and interfaces<\/li>\n
    • X-ray diffraction on single crystals, powders and thin films<\/li>\n
    • Scanning electron microscopy in imaging mode and quantification by XRF, EDS and WDS,<\/li>\n
    • Transmission electron microscopy: electron diffraction, high-resolution imaging, energy loss spectroscopy, HAADF S TEM mapping<\/li>\n
    • TEM under stimuli (temperature, polarization), in the presence of liquids<\/li>\n
    • Spectroscopy: XPS\/UPS, NMR, XAS<\/li>\n
    • XPS under illumination, under polarization<\/li>\n
    • Optical and vibrational spectroscopies: UV-vis absorption, photoluminescence, Raman scattering, IR absorption, spectroscopic ellipsometry<\/li>\n
    • Atomic force microscopy (AFM) and other near-field microscopies<\/li>\n
    • Characterization of colloidal solutions (zeta potential, DLS)<\/li>\n
    • In situ and operando mode characterization<\/li>\n
    • Synchrotron and diffraction under stimulus (electric field)<\/li>\n
    • Cold plasma diagnostics: optical emission spectrometry, mass spectrometry, electrostatic probes,<\/li>\n
    • Characterization of surfaces and thin films, process monitoring over time: in situ spectroscopic ellipsometry<\/li>\n<\/ul>\n

      Functional characterization<\/h4>\n
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      • Electrochemical measurements and impedance spectroscopy<\/li>\n
      • Electrical transport and magneto-transport measurements, current-voltage characteristics under illumination<\/li>\n
      • Mechanical and thermomechanical characterization of materials<\/li>\n
      • Thermal characterization of materials<\/li>\n
      • Magnetic characterization<\/li>\n<\/ul>\n

        3. Multi-scale modeling and simulation<\/h3>\n

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        • Atomic modeling and simulation of physical properties<\/li>\n
        • Calculation of electronic structure of solids (DFT…)<\/li>\n
        • Multi-scale modelling of cold plasma processes, development of process simulators<\/li>\n
        • Thermodynamic modeling: predictive (CALPHAD), guaranteed calculation, software development (CALIPH)<\/li>\n
        • Artificial intelligence (machine learning, data mining, multi-objective optimization, crystal structure prediction, generative AI)<\/li>\n<\/ul>\n<\/div><\/div><\/div><\/div><\/div><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"100-width.php","meta":{"footnotes":""},"class_list":["post-3262","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/pages\/3262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/comments?post=3262"}],"version-history":[{"count":5,"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/pages\/3262\/revisions"}],"predecessor-version":[{"id":5210,"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/pages\/3262\/revisions\/5210"}],"wp:attachment":[{"href":"https:\/\/www.cnrs-imn.fr\/en\/wp-json\/wp\/v2\/media?parent=3262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}