Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,085

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.

First-principles prediction of redox potentials in transition-metal compounds withLDA+U

Open access
Zhou, F., Cococcioni, M., Marianetti, C. A., Morgan, D., Ceder, G.·2004·Physical Review B

Abstract

First-principles calculations within the local density approximation (LDA) or generalized gradient approximation (GGA), though very successful, are known to underestimate redox potentials, such as those at which lithium intercalates in transition metal compounds. We argue that this inaccuracy is related to the lack of cancellation of electron self-interaction errors in LDA/GGA and can be improved by using the $\mathrm{DFT}+U$ method with a self-consistent evaluation of the $U$ parameter. We show that, using this approach, the experimental lithium intercalation voltages of a number of transition metal compounds, including the olivine ${\mathrm{Li}}_{x}{\mathrm{MPO}}_{4}$ ($\mathrm{M}=\mathrm{Mn}$, Fe Co, Ni), layered ${\mathrm{Li}}_{x}{\mathrm{MO}}_{2}$ ($x=\mathrm{Co}$, Ni) and spinel-like ${\mathrm{Li}}_{x}{\mathrm{M}}_{2}{\mathrm{O}}_{4}$ ($\mathrm{M}=\mathrm{Mn}$, Co), can be reproduced accurately.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1103/physrevb.70.235121

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 24 references

Cited by

See all 1,085

Metadata

Authors
Zhou, F., Cococcioni, M., Marianetti, C. A., Morgan, D., & Ceder, G.
Venue
Physical Review B
Published
2004-12-20
Volume
70
Issue
23
ISSN
  • 1098-0121 (ISSN-L)
  • 1550-235X
OpenAlex
W2060937228
Cited by
1,085
References
24
FWCI
11.77
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: First-principles prediction of redox potentials in transition-metal compounds withLDA+U. https://app.cochat.ai/papers/10.1103/physrevb.70.235121
The paper
Zhou, F., Cococcioni, M., Marianetti, C. A., Morgan, D., & Ceder, G. (2004). First-principles prediction of redox potentials in transition-metal compounds withLDA+U. Physical Review B. https://doi.org/10.1103/physrevb.70.235121

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.