Advanced Electron Microscopy of Nanophased Synthetic Polymers and Soft Complexes for Energy and Medicine Applications

• Published in: Nanomaterials (Basel, Switzerland) Vol. 11; no. 9; p. 2405
• Main Author: Chen, Jihua
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 15-09-2021; MDPI
• Subjects: Artificial intelligence; Automation; Block copolymers; Crystals; Drug development; Drug dosages; Electron beams; Electron microscopy; Electron transport; Energy; Experiments; Image processing; Information processing; Information retrieval; Interfaces; Learning algorithms; Light elements; Machine learning; Magnetic materials; Manufacturing engineering; medicine; Molten salt electrolytes; Nanomaterials; Nanostructure; nanostructures; Nanotechnology; Optoelectronic devices; Organic crystals; Organic semiconductors; Polydispersity; Polymer matrix composites; Polymers; Research facilities; Review; Robotics; Silicon wafers; Solid electrolytes; Spectrum analysis; Structural analysis; Transmission electron microscopy; AI (artificial intelligence); electron microscopy; medicine; polymers; nanostructures; organic crystals; energy
• ISSN: 2079-4991; 2079-4991
• DOI: 10.3390/nano11092405

After decades of developments, electron microscopy has become a powerful and irreplaceable 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, membranes, solid electrolytes, battery electrodes, ion- and electron-transporting materials, organic semiconductors, 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 nanomorphological 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 interfaces, organic crystals, and other soft complexes. This review crystalizes some of the essential challenges, 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.