Evidence map›Paper›PMID 37291095›Full record

ArticleNature communications2023

Realistic phase diagram of water from "first principles" data-driven quantum simulations.

Sigbjørn Løland Bore, Francesco Paesani

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Evidence for multi-LiNature · 2026
    Article
  2. Review
  3. Article
  4. Article
  5. Article
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  7. Article
  8. Energy landscape statistics and thermodynamics of a machine-learned model of water.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  9. First-principles insights into lead-free KJournal of molecular modeling · 2026
    Article
  10. Direct observation of liquid-liquid phase coexistence in deeply supercooled water using an accurate polarizable multipole model.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Computational investigation of water glasses using machine-learning potentials.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  16. Article
  17. A computationally efficient quasi-harmonic study of ice polymorphs using the FFLUX force field.Acta crystallographica. Section A, Foundations and advances · 2025
    Article
  18. Article
  19. Article
  20. Nuclear Quantum Effects on the Electronic Structure of Water and Ice.The journal of physical chemistry letters · 2024
    Article
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

2 authors.

Sigbjørn Løland BoreDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA.ORCID http://orcid.org/0000-0002-8620-4885
Francesco PaesaniDepartment of Chemistry and Biochemistry, University of California, San Diego, La Jolla, CA, 92093, USA. fpaesani@ucsd.edu.ORCID http://orcid.org/0000-0002-4451-1203

Funding

United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-20-1-0351
6 · The paper itself

Abstract

Since the experimental characterization of the low-pressure region of water's phase diagram in the early 1900s, scientists have been on a quest to understand the thermodynamic stability of ice polymorphs on the molecular level. In this study, we demonstrate that combining the MB-pol data-driven many-body potential for water, which was rigorously derived from "first principles" and exhibits chemical accuracy, with advanced enhanced-sampling algorithms, which correctly describe the quantum nature of molecular motion and thermodynamic equilibria, enables computer simulations of water's phase diagram with an unprecedented level of realism. Besides providing fundamental insights into how enthalpic, entropic, and nuclear quantum effects shape the free-energy landscape of water, we demonstrate that recent progress in "first principles" data-driven simulations, which rigorously encode many-body molecular interactions, has opened the door to realistic computational studies of complex molecular systems, bridging the gap between experiments and simulations.

Indexed as

AlgorithmsWaterComputer SimulationEntropyThermodynamicsWater

Identifiers

PMID37291095
PMCPMC10250386

What OpenQuestion holds

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Registered trials

None linked

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.