# Dissertation Machine Learning in Materials Science -- A case study in Carbon Nanotube field effect transistors

arXiv: https://arxiv.org/abs/2501.14813 · HTML: https://mlsanity.com/paper/2501.14813/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- First posted on arXiv 19 Jan 2025.

## Abstract (arXiv)

In this thesis, I explored the use of several machine learning techniques, including neural networks, simulation-based inference, and generative flow networks, on predicting CNTFETs performance, probing the conductivity properties of CNT network, and generating CNTFETs processing information for target performance.