Your browser doesn't support javascript.
loading
Functional composites by programming entropy-driven nanosheet growth.
Vargo, Emma; Ma, Le; Li, He; Zhang, Qingteng; Kwon, Junpyo; Evans, Katherine M; Tang, Xiaochen; Tovmasyan, Victoria L; Jan, Jasmine; Arias, Ana C; Destaillats, Hugo; Kuzmenko, Ivan; Ilavsky, Jan; Chen, Wei-Ren; Heller, William; Ritchie, Robert O; Liu, Yi; Xu, Ting.
Afiliação
  • Vargo E; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
  • Ma L; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Li H; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
  • Zhang Q; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Kwon J; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Evans KM; The Molecular Foundry, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Tang X; X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA.
  • Tovmasyan VL; Materials Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Jan J; Department of Mechanical Engineering, University of California, Berkeley, Berkeley, CA, USA.
  • Arias AC; Department of Chemistry, University of California, Berkeley, Berkeley, CA, USA.
  • Destaillats H; Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Kuzmenko I; Department of Materials Science and Engineering, University of California, Berkeley, Berkeley, CA, USA.
  • Ilavsky J; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
  • Chen WR; Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley, CA, USA.
  • Heller W; Energy Technologies Area, Lawrence Berkeley National Laboratory, Berkeley, CA, USA.
  • Ritchie RO; X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA.
  • Liu Y; X-ray Science Division, Argonne National Laboratory, Lemont, IL, USA.
  • Xu T; Neutron Scattering Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Nature ; 623(7988): 724-731, 2023 Nov.
Article em En | MEDLINE | ID: mdl-37938779
ABSTRACT
Nanomaterials must be systematically designed to be technologically viable1-5. Driven by optimizing intermolecular interactions, current designs are too rigid to plug in new chemical functionalities and cannot mitigate condition differences during integration6,7. Despite extensive optimization of building blocks and treatments, accessing nanostructures with the required feature sizes and chemistries is difficult. Programming their growth across the nano-to-macro hierarchy also remains challenging, if not impossible8-13. To address these limitations, we should shift to entropy-driven assemblies to gain design flexibility, as seen in high-entropy alloys, and program nanomaterial growth to kinetically match target feature sizes to the mobility of the system during processing14-17. Here, following a micro-then-nano growth sequence in ternary composite blends composed of block-copolymer-based supramolecules, small molecules and nanoparticles, we successfully fabricate high-performance barrier materials composed of more than 200 stacked nanosheets (125 nm sheet thickness) with a defect density less than 0.056 µm-2 and about 98% efficiency in controlling the defect type. Contrary to common perception, polymer-chain entanglements are advantageous to realize long-range order, accelerate the fabrication process (<30 min) and satisfy specific requirements to advance multilayered film technology3,4,18. This study showcases the feasibility, necessity and unlimited opportunities to transform laboratory nanoscience into nanotechnology through systems engineering of self-assembly.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Nature Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos