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The Long and Winding Road: Predicting Materials Properties Through Theory and Computation

  • Giulia GalliEmail author
Reference work entry
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Abstract

First-principles simulations of materials provide both computational microscopes and predictive tools, which we aspire to turn into design strategies for materials with target properties. One requisite to meet this goal is the enablement of predictions of material properties on a large scale, so as to generate a vast amount of validated computational data that may eventually be used to solve inverse problems. However it is challenging to use big data to address the “why question.” First-principles calculations of specific materials and properties can instead be extremely effective at answering the “why question,” namely, at unraveling mechanisms and providing fundamental, physical insights, thus paving the way to innovative design strategies. In this chapter, we present first-principles predictions of material properties relevant to energy conversion processes. We also discuss some open challenges related to automated integration of theory and computation with experiments and with validated, interpreted data.

Notes

Acknowledgments

This work was supported by DOE-BES under the MICCoM grant.

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Department of Chemistry, Institute for Molecular EngineeringThe University of ChicagoChicagoUSA

Section editors and affiliations

  • Wanda Andreoni
    • 1
  • Sidney Yip
    • 2
  1. 1.Institute of PhysicsSwiss Federal Institute of Technology - LausanneLausanneSwitzerland
  2. 2.Department of Nuclear Science & EngineeringMassachusetts Institute of TechnologyCambridgeUSA

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