Multiscale Graphene Topographies Programmed by Sequential Mechanical Deformation
Source abstract
Abstract
Multigenerational graphene oxide architectures can be programmed by specific sequences of mechanical deformations. Each new deformation results in a progressively larger set of features decorated by smaller preexisting patterns, indicating a structural “memory.” It is shown that these multiscale architectures are superhydrophobic and display excellent functionality as electrochemical electrodes. As a service to our authors and readers, this journal provides supporting information supplied by the authors. Such materials are peer reviewed and may be re-organized for online delivery, but are not copy-edited or typeset. Technical support issues arising from supporting information (other than missing files) should be addressed to the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Graphene research and applications · Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Engineering Institute for Molecular and Nanoscale Innovation Brown University Providence RI 02912 USA
Funding
Hibbitt Engineering Postdoctoral Fellowship · OVPR Research Seed Award from Brown University
References (35)
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