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Volume 2 Issue 9, September 2017

Computational studies, coupled with experimental feedback, are accelerating the discovery of new classes of thermoelectric materials. In this Review, we highlight progress in the computationally-guided discovery of thermoelectric materials and identify the key outstanding challenges. 

See Prashun Gorai et al. 2, 17053 (2017).

Image credit: Prashun Gorai; Image design: Lauren V. Robinson.

Research Highlights

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Reviews

  • Asymmetric chiroplasmonic structures comprising nanoparticles or nanorods can be assembled using DNA scaffolds by a range of methods. In this Review, these assembly methods, the chiroplasmonic properties of static and dynamically reconfigurable systems, theoretical modelling of the chiroplasmonic structures, their applications for sensing and information processing, and future perspectives are discussed.

    • Alessandro Cecconello
    • Lucas V. Besteiro
    • Itamar Willner
    Review Article
  • The field of active matter studies how internally driven motile components self-organize into large-scale dynamical states and patterns. This Review discusses how active matter concepts are important for understanding cell biology, and how the use of biochemical components enables the creation of new inherently non-equilibrium materials with unique properties that have so far been mostly restricted to living organisms.

    • Daniel Needleman
    • Zvonimir Dogic
    Review Article
  • Graphene and its macroscopic assemblies and composites are currently enabling a range of high-performance ‘smart’ materials that are responsive to various stimuli. In this Review, different graphene-based smart materials are described, along with their potential applications in actuators, chemical or strain sensors, self-healing materials, photothermal therapy and controlled drug delivery.

    • Xiaowen Yu
    • Huhu Cheng
    • Gaoquan Shi
    Review Article
  • The discovery of new thermoelectric materials is challenging owing to the diversity of the chemical space and to the serial nature of experimental work. This Review highlights the recent progress in computationally guided discovery of thermoelectric materials and identifies the key outstanding challenges.

    • Prashun Gorai
    • Vladan Stevanović
    • Eric S. Toberer
    Review Article
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