Paper
21 December 2016 Disorder, dynamic and entropy effects in the solid state
Torben R. Jensen, Hai-Wen Li
Author Affiliations +
Proceedings Volume 10174, International Symposium on Clusters and Nanomaterials; 101740D (2016) https://doi.org/10.1117/12.2254466
Event: International Symposium on Clusters and Nanomaterials, 2015, Richmond, Virginia, United States
Abstract
Storage of renewable energy remains a significant challenge for the implementation of a future carbon neutral and sustainable society based on renewable energy. New technologies providing a paradigm shift for energy storage may likely be based on novel materials with new functionalities. This review provides new perspectives for rational design of functional materials for energy storage using dynamic, disorder or entropy effects as a design concept. These effects may be introduced into the solid state using complex anions such as BH4- or B12H122-. These dynamic effects may facilitate anion substitution and preparation of materials that may stabilize high temperature polymorphs at lower temperatures. This has provided new ion conductors for lithium batteries and perovskite type metal borohydrides, which can be modified to resemble the well-known useful metal halide photovoltaics. Completely new metal hydrides, which stores hydrogen and may also be ion conductors or have magnetic, optical or electronic properties may be designed and prepared. This review reveals extreme structural and compositional flexibility of metal hydrides and provides new inspiration for rational materials design towards multi-functionality.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Torben R. Jensen and Hai-Wen Li "Disorder, dynamic and entropy effects in the solid state", Proc. SPIE 10174, International Symposium on Clusters and Nanomaterials, 101740D (21 December 2016); https://doi.org/10.1117/12.2254466
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KEYWORDS
Metals

Ions

Hydrogen

Solid state physics

Lithium

Molecules

Data modeling

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