Bjørk Hammer

Aarhus University

Denmark

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Articles (20)

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2025

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2025

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2023

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2023

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2022

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2022

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2022

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2022

Collaborators (13)

Wilke Dononelli

GERMANY

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Yuji Hamamoto

Assistant Professor

Osaka University

JAPAN

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Nikolaj Rønne

Aarhus University

DENMARK

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Kræn Adamsen

Aarhus University

DENMARK

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Lindsay Richard Merte

Associate Professor

Malmö University

SWEDEN

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Stefan Wendt

Aarhus University

DENMARK

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Magnus Kløve

Aarhus University

DENMARK

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Lutz Lammich

Aarhus University

DENMARK

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Ulrike Diebold

Professor

Universität Wien

AUSTRIA

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Edvin Lundgren

Professor

Lund University Samhällsvetenskapliga fakulteten

SWEDEN

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Bo Iversen

Visiting Professor

University of Western Australia

AUSTRALIA

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Jeppe Lauritsen

Aarhus University

DENMARK

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Signe Kyrkjebø

Aarhus University

DENMARK

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Bjørk Hammer

Research Interests

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Articles (20)

Anharmonic infrared spectra of cationic pyrene and superhydrogenated derivatives

Δ-model correction of foundation model based on the model’s own understanding

Water Nucleation via Transient Bonds to Oxygen-Functionalized Graphite

Augmentation of Universal Potentials for Broad Applications

Molecular Hydrogen Formation via Vibrational Excitation of Partially Superhydrogenated Pyrenes

Accelerating structure search using atomistic graph-based classifiers

Cascading symmetry constraint during machine learning-enabled structural search for sulfur-induced Cu(111)-(43×43) surface reconstruction

Generative diffusion model for surface structure discovery

Efficient ensemble uncertainty estimation in Gaussian processes regression

Oxygen Storage by Tin Oxide Monolayers on Pt3Sn(111)

A Machine‐Learning‐Based Approach for Solving Atomic Structures of Nanomaterials Combining Pair Distribution Functions with Density Functional Theory

Origin of hydroxyl pair formation on reduced anatase TiO2(101)

Generating candidates in global optimization algorithms using complementary energy landscapes

A machine learning potential for simulating infrared spectra of nanosilicate clusters

Origin of hydroxyl pair formation on reduced anatase TiO2(101)

Machine-learned search for the stable structures of silicene on Ag(111)

Structure of an Ultrathin Oxide on Pt3Sn(111) Solved by Machine Learning Enhanced Global Optimization**

Atomistic structure search using local surrogate model

Atomistic global optimization X: A Python package for optimization of atomistic structures

Top-down formation of ethylene from fragmentation of superhydrogenated polycyclic aromatic hydrocarbons

Collaborators (13)

Wilke Dononelli

Yuji Hamamoto

Nikolaj Rønne

Kræn Adamsen

Lindsay Richard Merte

Stefan Wendt

Magnus Kløve

Lutz Lammich

Ulrike Diebold

Edvin Lundgren

Bo Iversen

Jeppe Lauritsen

Signe Kyrkjebø

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