most citedPredicting VCSEL Emission Properties Using Transformer Neural Networks

6 citations · 6 across the 2 of their papers we have counts for

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2 papers

cond-mat.dis-nn2025

Instant prediction of relaxation in moiré superlattices using neural networks

Aleksei V. Belonovskii, Elizaveta I. Girshova, Erkki Lähderanta +1

The relaxation of moiré superlattices in twisted bilayers of transition metal dichalcogenides (TMDs) has been modeled using a set of neural-network-based approaches. We implemented…

cond-mat.dis-nn2024★ 6 cited

Predicting VCSEL Emission Properties Using Transformer Neural Networks

Aleksei V. Belonovskii, Elizaveta I. Girshova, Erkki Lähderanta +1

This study presents an innovative approach to predicting VCSEL emission characteristics using transformer neural networks. We demonstrate how to modify the transformer neural netwo…