Machine Learning Models for Predicting Key Performance Characteristics of High-Temperature THz Quantum Cascade Lasers

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Title:	Machine Learning Models for Predicting Key Performance Characteristics of High-Temperature THz Quantum Cascade Lasers
Authors:	M. Stojković; N. Stanojević ; A. Milićević ; N. Vuković ; D. Topalović ; M. Ignjatović ; A. Demić; D. Indjin; J. Radovanović
Issue Date:	2026
Publication:	Nanomaterials
ISSN:	2079-4991 Nanomaterials Search Idenfier
Type:	Article
Collation:	vol. 16 br. 11 str. 651-651
DOI:	10.3390/nano16110651
WoS-ID:	001790211900001
Scopus-ID:	2-s2.0-105041448589
URI:	https://vinar.vin.bg.ac.rs/handle/123456789/16858 https://enauka.gov.rs/handle/123456789/1040126 https://www.mdpi.com/2079-4991/16/11/651 http://zaposleni.etf.bg.ac.rs/rest/sciNaucniRezultati/oai/record/2/710321
Project:	TERALOCK - Ultra-short pulsations from TERAhertz quantum cascade laser using passive mode-LOCKing with graphene saturable absorber Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200103 (Univerzitet u Beogradu, Elektrotehnički fakultet) Ministarstvo nauke, tehnološkog razvoja i inovacija Republike Srbije, institucionalno finansiranje - 200017 (Univerzitet u Beogradu, Institut za nuklearne nauke Vinča, Beograd-Vinča) COST Action [CA21159 PhoBioS]
M-category:	21M21

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