Evidence map›Paper›PMID 40350684›Full record

ArticleJournal of chemical theory and computation2025

Snowflake Model of Water: A Fast Approach for Calculation of Structural Properties of Liquid Water.

Peter Ogrin, Tomaz Urbic

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. 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.

Peter OgrinFaculty of Chemistry and Chemical Technology, University of Ljubljana, Vecna Pot 113, SI-1000 Ljubljana, Slovenia.
Tomaz UrbicFaculty of Chemistry and Chemical Technology, University of Ljubljana, Vecna Pot 113, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-6440-0220

Funding

Solvation modeling for next-gen biomolecule simulationsRM1GM135136 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI COUTSIAS, EVANGELOS A., DILL, KEN A · 2020 to 2024
$6.0M
NIGMS NIH HHS RM1 GM135136
6 · The paper itself

Abstract

We develop a statistical-mechanical model to calculate the structural properties of liquid water. The model is based on the generation of snowflake-like structures that serve as an approximation for the structure of liquid water. It is a two-dimensional model in which each water molecule has three interaction sites that can form three types of interactions, namely, hydrogen bonding, van der Waals contact, and no interaction. The structural model is based on the analytical water model─UD model used for the prediction of thermodynamic and dynamic properties; however, the UD model is not able to predict structural properties. Here, the UD model was adapted to match the properties of the rose water model used in the simulations. The thermodynamic and dynamic properties calculated with the adapted UD model and the simulations of the rose model are in good agreement. The new snowflake model was used to calculate the structural properties of water. With this model, we calculated the radial and angular distribution functions of the water molecules and compared them with the functions from the simulations of the rose water model. The snowflake model was very successful in reproducing the functions calculated from the simulations. In addition, the spatial distribution functions were calculated with the snowflake model. Altogether, the UD model and the snowflake model allow us to calculate the thermodynamic, dynamic, and structural properties of liquid water with comparable accuracy to the simulations, but only for a fraction of the calculation time.

Identifiers

PMID40350684
PMCPMC12243085

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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.