Field-induced phase transitions in ferro-antiferromagnetic diblock copolymers

We study the equilibrium properties of a model of magnetic diblock copolymer where each monomer is decorated with an Ising-like spin. Spins interact ferromagnetically within each block and antiferromagnetically across blocks, generating frustration between magnetic ordering and spatial organization. By employing a mean-field approach and Monte Carlo simulations for self-avoiding walks on the cubic lattice, we investigate the system's response to an external magnetic field. We discover a rich phase diagram that includes: a swollen phase with both filaments magnetically disordered and spatially extended; a mixed compact phase characterized by a single globule in which the two filaments are strongly intertwined; a segregated compact phase composed of two globular, magnetically ordered, and spatially separated blocks. Furthermore, if the magnitude of the intra-block ferromagnetic interaction differs between the two blocks, we observe a hybrid segregated ("tadpole") phase where one extended block coexists with a collapsed one. Mean-field predictions of the location of the phase boundaries are in quantitative agreement with Monte Carlo results. These findings provide a minimal statistical-mechanical framework for field-controlled self-assembly of tunable patterns by magnetically heterogeneous polymers, which may also serve as a simple platform for future investigations of the coupling between internal epigenetic-like states and chromatin folding.

Authors

Institutions

Publication Details

Journal
The Journal of Chemical Physics
Published
2026-05-22
DOI
https://doi.org/10.1063/5.0331524
Primary Topic
Block Copolymer Self-Assembly
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Field-induced phase transitions in ferro-antiferromagnetic diblock copolymers

Davide Marenduzzo, Emanuele Locatelli, Enzo Orlandini, Alberto Raiola
The Journal of Chemical Physics
Block Copolymer Self-Assembly
article

Field-induced phase transitions in ferro-antiferromagnetic diblock copolymers

Davide Marenduzzo, Emanuele Locatelli, Enzo Orlandini, Alberto Raiola
article en

Abstract

We study the equilibrium properties of a model of magnetic diblock copolymer where each monomer is decorated with an Ising-like spin. Spins interact ferromagnetically within each block and antiferromagnetically across blocks, generating frustration between magnetic ordering and spatial organization. By employing a mean-field approach and Monte Carlo simulations for self-avoiding walks on the cubic lattice, we investigate the system's response to an external magnetic field. We discover a rich phase diagram that includes: a swollen phase with both filaments magnetically disordered and spatially extended; a mixed compact phase characterized by a single globule in which the two filaments are strongly intertwined; a segregated compact phase composed of two globular, magnetically ordered, and spatially separated blocks. Furthermore, if the magnitude of the intra-block ferromagnetic interaction differs between the two blocks, we observe a hybrid segregated ("tadpole") phase where one extended block coexists with a collapsed one. Mean-field predictions of the location of the phase boundaries are in quantitative agreement with Monte Carlo results. These findings provide a minimal statistical-mechanical framework for field-controlled self-assembly of tunable patterns by magnetically heterogeneous polymers, which may also serve as a simple platform for future investigations of the coupling between internal epigenetic-like states and chromatin folding.

The Journal of Chemical PhysicsVol. 164(20)
University of Padua (IT), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Osservatorio Astronomico di Padova (IT), University of Edinburgh (GB)
Openalex Percentile: Top 11%
Block Copolymer Self-Assembly
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.