Due to current COVID-19 crisis, the conference is postponed to 2021.

More information will follow soon. We are sorry for the inconvenience caused.

Please contact the organising team if you have further questions.

The MASSENA Young Scientist Conference 2020 is organised for Ph.D. candidates, post-doctoral candidates and early stage researchers working in the field of physics and materials science.
Materials for Sensing and Energy Harvesting (MASSENA) is a doctoral programme funded in the framework of PRIDE scheme by the Luxembourg National Research Fund (FNR). The University of Luxembourg (Uni.lu) and the Luxembourg Institute of Science and Technology (LIST) host it jointly. The Young Scientist Conference is organised by the PhD students in this programme. Here is a link if you would like to know more about this: http://www.pride-massena.lu
The MASSENA Young Scientist Conference is designed on the foundation of MASSENA and will be divided into four major themes viz:

This cluster will use the response of the electronic system of thin films, crystals and devices to external stimuli for sensing or energy harvesting. The objectives are to understand the parameters that are responsible for the sensitivity or the efficiency of the response, and to improve the coupling of the materials to the outer fields so that they are useful for tomorrow’s applications.

In this cluster, we focus on sensors and energy harvesters related to mechanical strain and/or temperature variation. The main objectives of this cluster are to identify original materials for strain sensors and energy harvesters, to develop appropriate process technologies and to reach the level of a proof of concept for some of them.

To address these objectives, three types of materials will be investigated: Lead-free piezoelectric materials, Liquid crystals, Caloric materials (including Shape Memory Alloys, pyroelectric and electrocaloric materials).

The objective of this cluster is to investigate concepts that underlie the translation of material properties into high performance in biosensing. The material properties of interest include geometric attributes (in micro/nanoscale), surface properties, and the material’s influence or response in the presence of the biological environment.

The main of the cluster is to understand, predict and optimize the properties of the material like electrical conductance, light absorption/emission and the electromechanical behaviour of a large class of materials using electronic-structure methods ranging from ab-initio and semi-empirical methods on the atomic scale to the model Hamiltonian methods on the mesoscopic scale.