Yosef Knattrup

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 15

Top Topics

Particulate Matter

Machine Learning

Molecular Dynamics

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)
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)
Daniel Ayoubi, Yosef Knattrup, Jonas Elm
Clusteromics V: Organic Enhanced Atmospheric Cluster Formation. ACS omega 8 (10) (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)
Yosef Knattrup, Jakub Kubečka, Daniel Ayoubi, Jonas Elm
Clusterome: A Comprehensive Data Set of Atmospheric Molecular Clusters for Machine Learning Applications. ACS omega 8 (28) (2023)
Yosef Knattrup, Jakub Kubečka, Jonas Elm
Nitric Acid and Organic Acids Suppress the Role of Methanesulfonic Acid in Atmospheric New Particle Formation. The journal of physical chemistry. A (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)
Haide Wu, Morten Engsvang, Yosef Knattrup, Jakub Kubečka, Jonas Elm
Improved Configurational Sampling Protocol for Large Atmospheric Molecular Clusters. ACS omega 8 (47) (2023)
Jakub Kubečka, Vitus Besel, Ivo Neefjes, Yosef Knattrup, Theo Kurtén, Hanna Vehkamäki, Jonas Elm
Computational Tools for Handling Molecular Clusters: Configurational Sampling, Storage, Analysis, and Machine Learning. ACS omega 8 (47) (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)
Daniel Ayoubi, Yosef Knattrup, Jonas Elm
Clusteromics V: Organic Enhanced Atmospheric Cluster Formation. ACS omega 8 (10) (2023)
Yosef Knattrup, Jonas Elm
Clusteromics IV: The Role of Nitric Acid in Atmospheric Cluster Formation. ACS omega 7 (35) (2022)