Haide Wu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 10

Top Topics

Molecular Dynamics Simulations

Particulate Matter

Machine Learning

Top Venues

Nature computational science

Environmental science. Advances

This page only lists publications with an associated author ORCID identifier.

Publications

Jakub Kubečka, Daniel Ayoubi, Zeyuan Tang, Yosef Knattrup, Morten Engsvang, Haide Wu, Jonas Elm
Accurate modeling of the potential energy surface of atmospheric molecular clusters boosted by neural networks. Environmental science. Advances (2024)
Yosef Knattrup, Jakub Kubečka, Haide Wu, Frank Jensen, Jonas Elm
Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid-multi-base systems. RSC advances 14 (28) (2024)
Morten Engsvang, Haide Wu, Jonas Elm
Iodine Clusters in the Atmosphere I: Computational Benchmark and Dimer Formation of Oxyacids and Oxides. ACS omega 9 (29) (2024)
Morten Engsvang, Haide Wu, Jonas Elm
Iodine Clusters in the Atmosphere I: Computational Benchmark and Dimer Formation of Oxyacids and Oxides. ACS omega 9 (29) (2024)
Jakub Kubečka, Daniel Ayoubi, Zeyuan Tang, Yosef Knattrup, Morten Engsvang, Haide Wu, Jonas Elm
Accurate modeling of the potential energy surface of atmospheric molecular clusters boosted by neural networks. Environmental science. Advances (2024)
Yosef Knattrup, Jakub Kubečka, Haide Wu, Frank Jensen, Jonas Elm
Reparameterization of GFN1-xTB for atmospheric molecular clusters: applications to multi-acid-multi-base systems. RSC advances 14 (28) (2024)
Jakub Kubečka, Yosef Knattrup, Morten Engsvang, Andreas Buchgraitz Jensen, Daniel Ayoubi, Haide Wu, Ove Christiansen, Jonas Elm
Current and future machine learning approaches for modeling atmospheric cluster formation. Nature computational science 3 (6) (2023)
Jakub Kubečka, Yosef Knattrup, Morten Engsvang, Andreas Buchgraitz Jensen, Daniel Ayoubi, Haide Wu, Ove Christiansen, Jonas Elm
Current and future machine learning approaches for modeling atmospheric cluster formation. Nature computational science 3 (6) (2023)
Jakub Kubečka, Yosef Knattrup, Morten Engsvang, Andreas Buchgraitz Jensen, Daniel Ayoubi, Haide Wu, Ove Christiansen, Jonas Elm
Current and future machine learning approaches for modeling atmospheric cluster formation. Nature computational science 3 (6) (2023)
Jakub Kubečka, Yosef Knattrup, Morten Engsvang, Andreas Buchgraitz Jensen, Daniel Ayoubi, Haide Wu, Ove Christiansen, Jonas Elm
Current and future machine learning approaches for modeling atmospheric cluster formation. Nature computational science 3 (6) (2023)