Soft matter roadmap
(2024) In JPhys Materials 7(1).- Abstract
Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them,... (More)
Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g. tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations. This Roadmap intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterisation, instrumental, simulation and theoretical methods as well as general concepts.
(Less)
- author
- publishing date
- 2024-01-01
- type
- Contribution to journal
- publication status
- published
- keywords
- colloid, complex, materials, matter, polymer, soft
- in
- JPhys Materials
- volume
- 7
- issue
- 1
- article number
- 012501
- publisher
- IOP Publishing
- external identifiers
-
- scopus:85180149694
- ISSN
- 2515-7639
- DOI
- 10.1088/2515-7639/ad06cc
- language
- English
- LU publication?
- no
- additional info
- Publisher Copyright: © 2023 The Author(s). Published by IOP Publishing Ltd.
- id
- 526a73a3-8b4b-45dd-8709-e2b98c0c9f1c
- date added to LUP
- 2024-05-14 20:18:26
- date last changed
- 2024-05-29 11:49:18
@article{526a73a3-8b4b-45dd-8709-e2b98c0c9f1c,
abstract = {{<p>Soft materials are usually defined as materials made of mesoscopic entities, often self-organised, sensitive to thermal fluctuations and to weak perturbations. Archetypal examples are colloids, polymers, amphiphiles, liquid crystals, foams. The importance of soft materials in everyday commodity products, as well as in technological applications, is enormous, and controlling or improving their properties is the focus of many efforts. From a fundamental perspective, the possibility of manipulating soft material properties, by tuning interactions between constituents and by applying external perturbations, gives rise to an almost unlimited variety in physical properties. Together with the relative ease to observe and characterise them, this renders soft matter systems powerful model systems to investigate statistical physics phenomena, many of them relevant as well to hard condensed matter systems. Understanding the emerging properties from mesoscale constituents still poses enormous challenges, which have stimulated a wealth of new experimental approaches, including the synthesis of new systems with, e.g. tailored self-assembling properties, or novel experimental techniques in imaging, scattering or rheology. Theoretical and numerical methods, and coarse-grained models, have become central to predict physical properties of soft materials, while computational approaches that also use machine learning tools are playing a progressively major role in many investigations. This Roadmap intends to give a broad overview of recent and possible future activities in the field of soft materials, with experts covering various developments and challenges in material synthesis and characterisation, instrumental, simulation and theoretical methods as well as general concepts.</p>}},
author = {{Barrat, Jean Louis and Del Gado, Emanuela and Egelhaaf, Stefan U and Mao, Xiaoming and Dijkstra, Marjolein and Pine, David J and Kumar, Sanat K and Bishop, Kyle and Gang, Oleg and Obermeyer, Allie and Papadakis, Christine M and Tsitsilianis, Constantinos and Smalyukh, Ivan I and Hourlier-Fargette, Aurelie and Andrieux, Sebastien and Drenckhan, Wiebke and Wagner, Norman and Murphy, Ryan P and Weeks, Eric R and Cerbino, Roberto and Han, Yilong and Cipelletti, Luca and Ramos, Laurence and Poon, Wilson C K and Richards, James A and Cohen, Itai and Furst, Eric M and Nelson, Alshakim and Craig, Stephen L and Ganapathy, Rajesh and Sood, Ajay Kumar and Sciortino, Francesco and Mungan, Muhittin and Sastry, Srikanth and Scheibner, Colin and Fruchart, Michel and Vitelli, Vincenzo and Ridout, S A and Stern, M and Tah, I and Zhang, G and Liu, Andrea J and Osuji, Chinedum O and Xu, Yuan and Shewan, Heather M and Stokes, Jason R and Merkel, Matthias and Ronceray, Pierre and Rupprecht, Jean François and Matsarskaia, Olga and Schreiber, Frank and Roosen-Runge, Felix and Aubin-Tam, Marie Eve and Koenderink, Gijsje H and Espinosa-Marzal, Rosa M and Yus, Joaquin and Kwon, Jiheon}},
issn = {{2515-7639}},
keywords = {{colloid; complex; materials; matter; polymer; soft}},
language = {{eng}},
month = {{01}},
number = {{1}},
publisher = {{IOP Publishing}},
series = {{JPhys Materials}},
title = {{Soft matter roadmap}},
url = {{http://dx.doi.org/10.1088/2515-7639/ad06cc}},
doi = {{10.1088/2515-7639/ad06cc}},
volume = {{7}},
year = {{2024}},
}