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Mie Andersen

11PUBLICATIONS
19CO-AUTHORS
Lasers and quantum electronicsChemical and thermal processes in energy and combustionColloid and surface chemistryTheory and design of materialsContext learning
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Journal

Publications (11)

Sort by Publication Date:
|May 21, 2026
How accurate are foundational machine learning interatomic potentials for heterogeneous catalysis?

|Jul 30, 2025
Interpretable machine learned predictions of adsorption energies at the metal-oxide interface.

Marius Juul Nielsen, Luuk H E Kempen, Julie de Neergaard Ravn

|Jun 05, 2024
Role of Cu Oxide and Cu Adatoms in the Reactivity of CO<sub>2</sub> on Cu(110).

Sigmund Jensen, Raffaele Cheula, Martin Hedevang

|Jan 04, 2024
Predicting binding motifs of complex adsorbates using machine learning with a physics-inspired graph representation.

Wenbin Xu, Karsten Reuter, Mie Andersen

|Jan 04, 2024
Machine learning speeds up search for surface structure.

Mie Andersen

|Jul 28, 2023
Descriptors for binding energies at clusters: The case of nanosilicates as models of interstellar dust grains.

Mie Andersen, Andreas Møller Slavensky

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Frequent Collaborators

5 joint publications

Karsten Reuter

3 joint publications

Raffaele Cheula

2 joint publications

Irene M N Groot

2 joint publications

Luuk H E Kempen

1 joint publications

Anastasios C Manikas

1 joint publications

Christos Tsakonas

1 joint publications

Costas Galiotis

1 joint publications

Elin Grånäs

1 joint publications

Bjørk Hammer

1 joint publications

Jan Knudsen

Frequent Collaborators

5 joint publications

Karsten Reuter

3 joint publications

Raffaele Cheula

2 joint publications

Irene M N Groot

2 joint publications

Luuk H E Kempen