Comment on "Pushing the frontiers of density functionals by solving the fractional electron problem" COMMENT

  • Gerasimov, Igor S.; 
  • Losev, Timofey, V; 
  • Epifanov, Evgeny Yu; 
  • Rudenko, Irina; 
  • Bushmarinov, Ivan S.; 
  • 외 3명
Citations

WEB OF SCIENCE

14
Citations

SCOPUS

14

초록

Kirkpatrick et al. (Reports, 9 December 2021, p. 1385) trained a neural network-based DFT functional, DM21, on fractional-charge (FC) and fractional-spin (FS) systems, and they claim that it has outstanding accuracy for chemical systems exhibiting strong correlation. Here, we show that the ability of DM21 to generalize the behavior of such systems does not follow from the published results and requires revisiting.

키워드

THERMOCHEMISTRY; ACCURATE; KINETICS
제목
Comment on "Pushing the frontiers of density functionals by solving the fractional electron problem" COMMENT
저자
Gerasimov, Igor S.; Losev, Timofey, V; Epifanov, Evgeny Yu; Rudenko, Irina; Bushmarinov, Ivan S.; Ryabov, Alexander A.; Zhilyaev, Petr A.; Medvedev, Michael G.
DOI
10.1126/science.abq3385
발행일
2022-08-05
유형
Editorial Material
저널명
Science
권
377
호
6606