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How to verify the precision of density-functional-theory implementations via reproducible and universal workflows

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  1. Article

    Open Access

    Evolutionary computing and machine learning for discovering of low-energy defect configurations

    Density functional theory (DFT) has become a standard tool for the study of point defects in materials. However, finding the most stable defective structures remains a very challenging task as it involves the ...

    Marco Arrigoni, Georg K. H. Madsen in npj Computational Materials (2021)

  2. Article

    Open Access

    How dopants limit the ultrahigh thermal conductivity of boron arsenide: a first principles study

    The promise enabled by boron arsenide’s (BAs) high thermal conductivity (κ) in power electronics cannot be assessed without taking into account the reduction incurred when do** the material. Using first princip...

    Mauro Fava, Nakib Haider Protik, Chunhua Li in npj Computational Materials (2021)

  3. Article

    Open Access

    Designing high-performance layered thermoelectric materials through orbital engineering

    Thermoelectric technology, which possesses potential application in recycling industrial waste heat as energy, calls for novel high-performance materials. The systematic exploration of novel thermoelectric mat...

    Jiawei Zhang, Lirong Song, Georg K. H. Madsen, Karl F. F. Fischer in Nature Communications (2016)