Peder Meisner Lyngby

Emailpmelydtudk
Websitehttp://www.fysik.dtu.dk

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Dive into the research topics where Peder Meisner Lyngby is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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3 Journal article

Exploring and machine learning structural instabilities in 2D materials
Manti, S., Svendsen, M. K., Knøsgaard, N. R., Lyngby, P. M. & Thygesen, K. S., 2023, In: npj Computational Materials. 9, 1, 10 p., 33.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
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4 Downloads (Pure)
Hundreds of new, stable, one-dimensional materials from a generative machine learning model
Moustafa, H., Lyngby, P. M., Mortensen, J. J., Thygesen, K. S. & Jacobsen, K. W., 2023, In: Physical Review Materials. 7, 1, 10 p., 014007.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
27 Downloads (Pure)
Data-driven discovery of 2D materials by deep generative models
Lyngby, P. & Thygesen, K. S., 2022, In: npj Computational Materials. 8, 8 p., 232.
Research output: Contribution to journal › Journal article › Research › peer-review

Open Access
File
15 Downloads (Pure)

Machine learning for atomistic materials discovery
Lyngby, P. M., Thygesen, K. S. & Jacobsen, K. W.
01/09/2021 → 26/10/2024
Project: PhD

Peder Meisner Lyngby

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Publications

Exploring and machine learning structural instabilities in 2D materials

Hundreds of new, stable, one-dimensional materials from a generative machine learning model

Data-driven discovery of 2D materials by deep generative models

Projects

Machine learning for atomistic materials discovery