A universal machine learning model for the electronic density of states

Wei Bin How, Pol Febrer, Sanggyu Chong, Arslan Mazitov, Filippo Bigi, Matthias Kellner, Sergey Pozdnyakov, Michele Ceriotti

Open source

DOI: 10.1039/d5dd00557d
Published: 2026
Container: Digital Discovery
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d5dd00557d,
  title = {A universal machine learning model for the electronic density of states},
  author = {Wei Bin How and Pol Febrer and Sanggyu Chong and Arslan Mazitov and Filippo Bigi and Matthias Kellner and Sergey Pozdnyakov and Michele Ceriotti},
  year = {2026},
  journal = {Digital Discovery},
  doi = {10.1039/d5dd00557d},
  url = {https://doi.org/10.1039/d5dd00557d}
}

RIS

TY  - JOUR
TI  - A universal machine learning model for the electronic density of states
AU  - Wei Bin How
AU  - Pol Febrer
AU  - Sanggyu Chong
AU  - Arslan Mazitov
AU  - Filippo Bigi
AU  - Matthias Kellner
AU  - Sergey Pozdnyakov
AU  - Michele Ceriotti
PY  - 2026
JO  - Digital Discovery
DO  - 10.1039/d5dd00557d
UR  - https://doi.org/10.1039/d5dd00557d
ER  -

APA

How, W. B., Febrer, P., Chong, S., Mazitov, A., Bigi, F., Kellner, M., Pozdnyakov, S., & Ceriotti, M. (2026). A universal machine learning model for the electronic density of states. Digital Discovery. https://doi.org/10.1039/d5dd00557d

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crossref · retrieved 2026-09-25T00:55:00.422Z