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Institut Charles Sadron

Institut Charles Sadron News

Large Sequence-Defined Macromolecules
2021-03-24

In a recently-published publication, researchers of the PMC group of the ICS describe for the first time the preparation of large sequence-defined macromolecules. These structures were obtained by a c

Art contest
2021-02-25

In an effort to improve the institute appearance, the QVT commission launched a competition to reveal the artistic talents of the ICS members.

Innovative bubble wipe
2021-02-12

Innovative Foam-Based Cleaning for Historical Objects

Interfacial agents for fiber-reinforced composite materials
2021-02-08

The adsorption of sequence-defined oligomers based on phenylalanine on Kevlar fibers was investigated.

A new lecturer at the ICS
2021-01-06

Marina Pecora - New lecturer in mechanics of polymers

Decoding of digitally-encoded polymers in a protein nanopore
2020-12-10

The PMC group of the ICS has described the decoding of digitally-encoded polymers in a protein nanopore.

Jean-François Lutz joins Progress in Polymer Science as Senior Editor
2020-12-07

Starting January 2021, Jean-François Lutz will join the editorial board of « Progress in Polymer Science » as Senior Editor

HORATES ITN project on Thermoelectric Polymer and Hybrid Materials
2020-11-23

Team SYCOMMOR will participate in a new ITN project exploring the thermoelectric effect to convert heat into electricity using organic materials

PhD Thesis Prize of the Education Commission of the GFP
2020-11-19

On the occasion of the GFP webinar on November 19, 2020, the Education Commission of the GFP awarded its PhD Thesis Prize to Dr. Jennifer Rodon Fores.

Art & science of foams
2020-10-07

A bubble artist and foam scientists join forces to improve their mastery of bubbles and foams.

Microbubbles with a shell of nanodiamonds for diagnostic and therapy
2020-10-02

Microbubbles with a shell of nanodiamonds that have a potential for bioimaging and cell therapy have been prepared and studied at the ICS in collaboration with the Institut de Chimie of Clermont Auver

Investigation of thermodynamic phases of lipids via Machine Learning algorithms
2020-09-23

We recently published a PCCP article showing that machine learning can be used to investigate the thermodynamic phase transition in membranes.