Evidence map›Paper›PMID 27186804›Full record

ReviewChemical reviews2016

Modeling Molecular Interactions in Water: From Pairwise to Many-Body Potential Energy Functions.

Gerardo Andrés Cisneros, Kjartan Thor Wikfeldt, Lars Ojamäe, Jibao Lu, Yao Xu, Hedieh Torabifard, Albert P Bartók, Gábor Csányi, Valeria Molinero, Francesco Paesani

Open access · greenAbstract readReview
In one paragraph

Review in Chemical reviews, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed
32.4field-weighted citation impact, top 1% of its field
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

88 citing papers in PubMed, 468 citations in OpenAlex.

  1. Article
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  6. 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
  7. Article
  8. Anomalous Water Fluorescence Induced by Solutes.The journal of physical chemistry letters · 2025
    Article
  9. The Q-AMOEBA (CF) Polarizable Potential.The journal of physical chemistry letters · 2025
    Article
  10. Article
  11. Article
  12. Article
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  14. Designing of a novel chimeric antimicrobial peptide againstResearch in pharmaceutical sciences · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Enhanced Sampling with Machine Learning.Annual review of physical chemistry · 2024
    Review
  19. Article
  20. Article

28 more citing papers are in PubMed but not listed here.

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

10 authors at 7 institutions in 5 countries.

Gerardo Andrés CisnerosDepartment of Chemistry, Wayne State University , Detroit, Michigan 48202, United States.
Kjartan Thor WikfeldtScience Institute, University of Iceland , VR-III, 107, Reykjavik, Iceland.
Lars OjamäeDepartment of Chemistry, Linköping University , SE-581 83 Linköping, Sweden.
Jibao LuDepartment of Chemistry, The University of Utah , Salt Lake City, Utah 84112-0850, United States.
Yao XuLehrstuhl Physikalische Chemie II, Ruhr-Universität Bochum , 44801 Bochum, Germany.
Hedieh TorabifardDepartment of Chemistry, Wayne State University , Detroit, Michigan 48202, United States.
Albert P BartókEngineering Laboratory, University of Cambridge , Trumpington Street, Cambridge CB21PZ, United Kingdom.
Gábor CsányiEngineering Laboratory, University of Cambridge , Trumpington Street, Cambridge CB21PZ, United Kingdom.
Valeria MolineroDepartment of Chemistry, The University of Utah , Salt Lake City, Utah 84112-0850, United States.
Francesco PaesaniDepartment of Chemistry and Biochemistry, University of California San Diego , La Jolla, California 92093, United States.
University of Cambridge · GBUniversity of Utah · USWayne State University · USLinköping University · SERuhr University Bochum · DEUniversity of California, San Diego · USUniversity of Iceland · IS

Funding

Theory and Simulation of DNA Repair Enzymes; Mechanism, Structure and FunctionR01GM108583 · NIGMS · WAYNE STATE UNIVERSITY · PI CISNEROS, GERARDO ANDRES · 2014 to 2022
$2.9M
NIGMS NIH HHS R01 GM108583
6 · The paper itself

Abstract

Almost 50 years have passed from the first computer simulations of water, and a large number of molecular models have been proposed since then to elucidate the unique behavior of water across different phases. In this article, we review the recent progress in the development of analytical potential energy functions that aim at correctly representing many-body effects. Starting from the many-body expansion of the interaction energy, specific focus is on different classes of potential energy functions built upon a hierarchy of approximations and on their ability to accurately reproduce reference data obtained from state-of-the-art electronic structure calculations and experimental measurements. We show that most recent potential energy functions, which include explicit short-range representations of two-body and three-body effects along with a physically correct description of many-body effects at all distances, predict the properties of water from the gas to the condensed phase with unprecedented accuracy, thus opening the door to the long-sought "universal model" capable of describing the behavior of water under different conditions and in different environments.

Indexed as

Computer SimulationModels, MolecularWaterWater

Identifiers

PMID27186804
PMCPMC5450669
OpenAlexW2397139855

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.