EventsThe 6th International Electronic Conference on Applied Sciences
Event submissions
Published
This submission belongs to the session S2. Nanosciences, Chemistry and Materials Science of the event The 6th International Electronic Conference on Applied Sciences
Published date
03 Dec, 2025
Academic Editor
author-avatarAlberto Jiménez Suárez
Citation
Alejandro Guajardo-Cuéllar, Emiliano Cerón-Vasilescu, Gerardo Rodriguez-Hernandez, <span data-olk-copy-source="MessageBody">Machine Learning and Molecular Dynamics for the thermal conductivity of doped semiconductors</span>, in Proceedings of The 6th International Electronic Conference on Applied Sciences, 9 December–11 December 2025, MDPI: Basel, Switzerland
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Machine Learning and Molecular Dynamics for the thermal conductivity of doped semiconductors

Emiliano Cerón-Vasilescu 1
Gerardo Rodriguez-Hernandez 1
Alejandro Guajardo-Cuéllar 1
1. Escuela de Ingeniería y Ciencias, Tecnologico de Monterrey, Zapopan, 45201, México
Abstract
Keywords
Doped semiconductors
thermal conductivity
Molecular Dynamics
Machine learning
Tersoff Potential
Green-Kubo