Abstract
After decades of developments, electron microscopy has become a powerful and irreplace-able tool in understanding the ionic, electrical, mechanical, chemical, and other functional performances of next-generation polymers and soft complexes. The recent progress in electron microscopy of nanostructured polymers and soft assemblies is important for applications in many different fields, including, but not limited to, mesoporous and nanoporous materials, absorbents, mem-branes, solid electrolytes, battery electrodes, ion-and electron-transporting materials, organic sem-iconductors, soft robotics, optoelectronic devices, biomass, soft magnetic materials, and pharmaceutical drug design. For synthetic polymers and soft complexes, there are four main characteristics that differentiate them from their inorganic or biomacromolecular counterparts in electron microscopy studies: (1) lower contrast, (2) abundance of light elements, (3) polydispersity or nanomorpho-logical variations, and (4) large changes induced by electron beams. Since 2011, the Center for Nanophase Materials Sciences (CNMS) at Oak Ridge National Laboratory has been working with numerous facility users on nanostructured polymer composites, block copolymers, polymer brushes, conjugated molecules, organic–inorganic hybrid nanomaterials, organic–inorganic inter-faces, organic crystals, and other soft complexes. This review crystalizes some of the essential chal-lenges, successes, failures, and techniques during the process in the past ten years. It also presents some outlooks and future expectations on the basis of these works at the intersection of electron microscopy, soft matter, and artificial intelligence. Machine learning is expected to automate and facilitate image processing and information extraction of polymer and soft hybrid nanostructures in aspects such as dose-controlled imaging and structure analysis.
Original language | English |
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Article number | 2405 |
Journal | Nanomaterials |
Volume | 11 |
Issue number | 9 |
DOIs | |
State | Published - Sep 2021 |
Funding
This research was conducted at the Center for Nanophase Materials Sciences, which is a DOE Office of Science User Facility.
Funders | Funder number |
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Office of Science |
Keywords
- AI (artificial intelligence)
- Electron microscopy
- Energy
- Medicine
- Nanostructures
- Organic crystals
- Polymers