Evidence map›Paper›PMID 41131845›Full record

ArticleAngewandte Chemie (International ed. in English)2025

Deciphering Ball Milling Mechanochemistry via Molecular Simulations of Collision-Driven and Liquid-Assisted Reactivity.

Rupam Gayen, Leonarda Vugrin, Zehua Zhang, György Hantal, Ivan Halasz, Ana-Sunčana Smith

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

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

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

6 authors.

Rupam Gayen *PULS Group, Department of Physics, Friedrich Alexander, Universität Erlangen-Nürnberg, IZNF, Cauerstrasse 3, 91058, Erlangen, Germany.
Leonarda Vugrin *Division of Physical Chemistry, Ruđer Bošković Institute, Bijenička c. 54, Zagreb, 10163, Croatia.
Zehua ZhangPULS Group, Department of Physics, Friedrich Alexander, Universität Erlangen-Nürnberg, IZNF, Cauerstrasse 3, 91058, Erlangen, Germany.
György HantalPULS Group, Department of Physics, Friedrich Alexander, Universität Erlangen-Nürnberg, IZNF, Cauerstrasse 3, 91058, Erlangen, Germany.
Ivan HalaszDivision of Physical Chemistry, Ruđer Bošković Institute, Bijenička c. 54, Zagreb, 10163, Croatia.ORCID https://orcid.org/0000-0002-5248-4217
Ana-Sunčana SmithPULS Group, Department of Physics, Friedrich Alexander, Universität Erlangen-Nürnberg, IZNF, Cauerstrasse 3, 91058, Erlangen, Germany.ORCID https://orcid.org/0000-0002-0835-0086

Funding

Deutsche Forschungsgemeinschaft 377472739/GRK 2423/2-2023Deutsche Forschungsgemeinschaft 416229255 SFB 1411Hrvatska Zaklada za Znanost HRZZ-2020-02-1419
6 · The paper itself

Abstract

Mechanochemistry by ball milling proceeds through a series of discrete, high-energy collisions between milling balls and the sample, yet the molecular-level processes that govern the resulting chemical and physical transformations remain poorly understood. In this study, we develop a molecular dynamics simulation protocol to investigate a model mechanochemical reaction between potassium chloride (KCl) and 18-crown-6 ether, both under dry conditions and in the presence of water as a liquid additive. Our simulations reveal that the reaction is initiated by collision-induced fragmentation of the KCl crystal into individual ions. This process occurs when the absorbed energy per ion pair during a collision exceeds the crystal's cohesion energy. We further show that the addition of a small amount of water facilitates the formation of complexes between potassium ions and 18-crown-6 molecules. However, excessive water content stabilizes the reactants instead, thereby suppressing complex formation. These findings highlight a non-linear relationship between liquid additive concentration and the reaction outcome. Our approach offers a molecular-level perspective on mechanochemical reactivity, providing valuable insights that could guide the rational optimization of milling conditions-particularly the targeted selection and dosing of liquid additives-to improve reaction efficiency.

Indexed as

Collision‐driven reactivityLiquid‐assisted millingMechanochemistryMolecular dynamicsTheoretical simulations

Identifiers

PMID41131845
PMCPMC12684300

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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.