Porosity Optimization of Semiconducting Nanostructures for Thermoelectric Applications via Machine Learning - WebThesis

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Porosity Optimization of Semiconducting Nanostructures for Thermoelectric Applications via Machine Learning

Marco Diez

Porosity Optimization of Semiconducting Nanostructures for Thermoelectric Applications via Machine Learning.

Rel. Matteo Fasano, Giuseppe Romano, Cristiano Fanelli. Politecnico di Torino, Master of science program in Mechanical Engineering, 2020

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Relators

Matteo Fasano, Giuseppe Romano, Cristiano Fanelli

Academic year

2019/20

Publication type

Electronic

Number of Pages

97

Course of studies

Master of science program in Mechanical Engineering

Classe di laurea

New organization > Master science > LM-33 - MECHANICAL ENGINEERING

Aziende collaboratrici

Massachusetts Institute of Technology

URI

https://webthesis.biblio.polito.it/id/eprint/14186

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