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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.
- 발행일
- 2022-08-05
- 유형
- Editorial Material
- 저널명
- Science
- 권
- 377
- 호
- 6606
- 언어
- ENG
- 출판사
- AMER ASSOC ADVANCEMENT SCIENCE
- 발행국가
- 미국
- ISSN
- E 1095-9203
P 0036-8075