Two MARVEL papers among the 10 most cited Physical Review Materials articles

This was published on August 27, 2020

Physical Review Materials has collected a selection of 10 of the most-cited papers that the journal published between 2017 and 2019. Two of these papers were published in the context of the NCCR MARVEL.

The selection includes the following papers:

Daniele Dragoni, Thomas D. Daff, Gábor Csányi, and Nicola Marzari, Achieving DFT accuracy with a machine-learning interatomic potential: Thermomechanics and defects in bcc ferromagnetic iron, Phys. Rev. Materials 2, 013808 – Published 30 January 2018 [Open Access URL]
Xing Feng, Changming Yue, Zhida Song, QuanSheng Wu, and Bin Wen, Topological Dirac nodal-net fermions in AlB₂-type TiB₂ and ZrB₂, Phys. Rev. Materials 2, 014202 – Published 24 January 2018 [Open Access URL]

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