Evidence map›Paper›PMID 42905822›Full record

ArticleScience advances2026

Classical quantum chemical solution of the FeMo-cofactor model to chemical accuracy and its implications.

Huanchen Zhai, Chenghan Li, Xing Zhang, Zhendong Li, Seunghoon Lee, Garnet Kin-Lic Chan

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Huanchen ZhaiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-0086-0388
Chenghan LiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0001-6095-9318
Xing ZhangDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0002-1892-1380
Zhendong LiKey Laboratory of Theoretical and Computational Photochemistry, Ministry of Education, College of Chemistry, Beijing Normal University, Beijing 100875, China.ORCID 0000-0002-0683-6293
Seunghoon LeeDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0003-3665-587X
Garnet Kin-Lic ChanDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.ORCID 0000-0001-8009-6038

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use classical quantum chemistry methods to estimate the ground-state energy to chemical accuracy in a model of the FeMo cofactor of nitrogenase, which is widely studied as a target of quantum computing. Our result relies on the insight that the ground-state problem can be characterized as one of ranking many competing, but largely single-configuration, states. This allows a combination of systematic high-order coupled cluster and density matrix renormalization group calculations together with an extrapolation protocol to obtain an accurate energy. Within the model, we identify several spin isomer candidates for the ground state that are degenerate to chemical accuracy. Beyond this model, we characterize the impact of additional electronic excitations and the cluster and protein geometric fluctuations on the low-lying electronic landscape. We find that many features of the landscape are retained in more detailed representations of nitrogenase, which points to the complexity of spectroscopic interpretations of the electronic structure of the FeMo cofactor.

Identifiers

PMID42905822
PMCPMC13685976

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.