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Jaysen Nelayah

Associate Professor HDR

jaysen.nelayah@u-paris.fr

01 57 27 69 98

Bureau : 625B

Bio

Material scientist and transmission electron microscopy expert working on the dynamics of the structure and thermodynamics of solid-gas interfaces at the surface of metallic nanoparticles close to application conditions.  Associate professor in Physics at Université Paris Cité since 2009.

with high-end scientific and technical expertise in high resolution and analytical aberration-corrected TEM, in situ and in operando environmental TEM in gas phase and development of deep-learning based methodologies for TEM images reconstruction and analysis.

Education and professional skills

2007 – 2009 Invited scientist, Stuttgart Centre for Electron Microscopy, Max Planck Institute, Germany.

2004 – 2007 Doctoral thesis in Physics, Université de Paris-Sud, Orsay, France.

1999 – 2004 Diploma, BSc and MSc in Physics, Université Paris Diderot, Paris, France.

Main research interests

Full updated list of publications on Google Scholar

1. Structure and thermodynamics of metals at the nanoscale

My contributions to these topics concern to two families of multi-component nanoparticles, bimetallic and high-entropy nanoalloys and cover their synthesis, structure and thermodynamic properties.

HRTEM image of a chemically-ordered L12 Au-Pd nanoparticle

Few selected contributions:

2. In situ and operando environmental gas TEM

Since 2013, I have been involved in the implementation of in situ and operando aberration-corrected gas TEM and their integration to the study of gas-metal interactions at the surface of metallic nanoparticles down to the atomic scale.  

In situ gas STEM monitoring of a gold nanoparticle under 1,3-butadiene at atmospheric pressure

Few selected contributions:

 

3. Data engineering and machine learning-enhanced TEM 

My interest lies in advancing nanomaterials investigation at the atomic scale with high-throughput by exploring novel application of machine learning approaches to TEM data reconstruction (denoising, deblurring, super resolution, …) and analysis (segmentation, classification).

In situ liquid TEM image reconstruction using neural networks – image denoising and deblurring

Recent contributions to this topic:

Teaching duties

I have been involved in teaching at UPCité since I took up my post as a lecturer in September 2009. I am attached to the Physics Department, but I also teach and have teaching responsibilities at the Denis Diderot School of Engineering (EIDD).

I teach all areas of physics (mechanics, electromagnetism, thermodynamics …) as well as Nanosciences and Materials Science, at all levels (Bachelor, Master, engineering courses and professional degrees).

At the EIDD, I’m deputy head of the Materials and Nanotechnologies specialitysince 2024. This specialisation enables students to acquire a core of skills in Physics/Chemistry, complemented by courses in nanoscience and materials science, over a three-year of theoretical and experimental training.