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Bjørk Hammer

Researcher at Aarhus University

Publications -  242
Citations -  42965

Bjørk Hammer is an academic researcher from Aarhus University. The author has contributed to research in topics: Density functional theory & Adsorption. The author has an hindex of 76, co-authored 231 publications receiving 37382 citations. Previous affiliations of Bjørk Hammer include Zhejiang University of Technology & Aalborg University.

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The role of the chiral modifier on the enantioselective hydrogenation of methyl pyruvate on Pt(111)

TL;DR: In this paper, the authors investigated the enantioselective hydrogenation of methyl pyruvate (MP) to methyl lactate over Pt(111) and found that the observed docking complex is formed between semihydrogenated MP and NEA.
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Structure prediction of surface reconstructions by deep reinforcement learning.

TL;DR: It is demonstrated how image recognition and reinforcement learning combined may be used to determine the atomistic structure of reconstructed crystalline surfaces.
Journal Article

Comment on Imaging of the Hydrogen Subsurface Site in Rutile TiO2 . Authors' reply

TL;DR: This material is protected by copyright and other intellectual property rights, and duplication or sale of all or part of any of the repository collections is not permitted, except that material may be duplicated by you for your research use or educational purposes in electronic or print form.
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Hydrogen bond rotations as a uniform structural tool for analyzing protein architecture

TL;DR: The spatial rotation between hydrogen bonded peptide planes is introduced as a new descriptor for protein structure locally around a hydrogen bond, providing a uniform vocabulary for comparison of protein structure near hydrogen bonds even between bonds in different proteins without alignment.
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Atomistic global optimization X: A Python package for optimization of atomistic structures.

TL;DR: The Atomistic Global Optimization X (AGOX) framework as discussed by the authors provides a modular way of expressing global optimization algorithms, and modern programming practices are used to enable that modularity in the freely available AGOX Python package.