Front Cover: Molecular Origins of Philicity: How Atomic Interactions Determine Miscibility and Diffusivity (ChemPhysChem 13/2026)

The Front Cover illustrates how nature controls the miscibility of multicomponent molecular liquids by tuning their interactions, in particular the range and depth of the interaction potential. Just as a DJ shapes the atmosphere on a dance floor, these parameters dictate whether molecular components mix or phase-separate. Linking features of the interaction potentials to distinct mixing tendencies is a nontrivial challenge, illuminated by theoretical chemistry. More information can be found in the Research Article by D. Sebastiani and co-workers (DOI: 10.1002/cphc.202500875).

Authors

Institutions

Publication Details

Journal
ChemPhysChem
Published
2026-06-30
DOI
https://doi.org/10.1002/cphc.70489
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Front Cover: Molecular Origins of Philicity: How Atomic Interactions Determine Miscibility and Diffusivity (ChemPhysChem 13/2026)

Daniel Sebastiani, Anna Luisa Upterworth, Tom Erik Steinkopf
ChemPhysChem
Machine Learning in Materials Science
article

Front Cover: Molecular Origins of Philicity: How Atomic Interactions Determine Miscibility and Diffusivity (ChemPhysChem 13/2026)

Daniel Sebastiani, Anna Luisa Upterworth, Tom Erik Steinkopf
article en

Abstract

The Front Cover illustrates how nature controls the miscibility of multicomponent molecular liquids by tuning their interactions, in particular the range and depth of the interaction potential. Just as a DJ shapes the atmosphere on a dance floor, these parameters dictate whether molecular components mix or phase-separate. Linking features of the interaction potentials to distinct mixing tendencies is a nontrivial challenge, illuminated by theoretical chemistry. More information can be found in the Research Article by D. Sebastiani and co-workers (DOI: 10.1002/cphc.202500875).

ChemPhysChemVol. 27(13)
Martin Luther University Halle-Wittenberg (DE)
Openalex Percentile: Top 16%
Machine Learning in Materials Science
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.