Stages M1 et M2

Context:

Nanomechanical resonators, including carbon nanotubes (CNTs), are excellent mass sensors. In our team, the carbon nanotube mechanical resonator is used in a transistor configuration. The electrical performance of the transistor is therefore central to the development of carbon nanotube-based mass sensors.

Our research team offers an internship of approximately one month, aiming to:

Electrically characterize CNTFETs fabricated in a cleanroom.

Statistically analyze the results to extract key information on fabrication success rate, nanotube metallicity, modulation ratio (Ion/Ioff), and contact resistances.

Optimize the fabrication process by varying the size of the catalysts (starting point for nanotube growth), if time permits.

Scientific and technical work:

1) Electrical Characterization of CNTFETs

Measure ID-VG and ID-VD curves using probe stations.

Identify functional devices and classify them based on their properties (metallic vs. semiconducting).

2) Statistical Data Analysis :

Process experimental data to extract the fabrication success rate (percentage of functional devices), the metallicity distribution of the nanotubes, the modulation ratio (Ion/Ioff), the contact resistances and their impact on performance.

Visualize results (histograms, curves, comparative tables).

3) Fabrication Process Optimization (if time permits)

Fabricate new devices in the clean room, systematically varying the size of the catalysts.

Evaluate the impact of these variations on CNTFET performance.

Profile :

Education: Student in physics, materials science, nanoelectronics, or equivalent (Bachelor’s, Master’s, or engineering school level). Knowledge on CNT science not required:

– Technical Skills: basics in electronics and semiconductor physics, electrical characterization techniques (a plus, but can be taught during the internship), some proficiency in data analysis tools (Python, MATLAB, or equivalent).

– Personal Qualities: rigor, scientific curiosity, ability to work in a team, autonomy and organizational skills to carry out experiments and analyses

Additional information:

Duration: 1 month (starting date: flexible, to be defined with the candidate). Compensation: Unpaid internship

Supervision : Adrien NOURY, L2C (CNRS-Université de Montpellier)