Bjørk Hammer

About Bjørk Hammer

Bjørk Hammer, With an exceptional h-index of 92 and a recent h-index of 48 (since 2020), a distinguished researcher at Aarhus Universitet, specializes in the field of physics, graphene, materials science, heterogeneous catalysis, surface science.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Origin of hydroxyl pair formation on reduced anatase TiO 2 (101)

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

Generating candidates in global optimization algorithms using complementary energy landscapes

A machine learning potential for simulating infrared spectra of nanosilicate clusters

A Machine‐Learning‐Based Approach for Solving Atomic Structures of Nanomaterials Combining Pair Distribution Functions with Density Functional Theory (Adv. Mater. 13/2023)

Oxygen Storage by Tin Oxide Monolayers on Pt3Sn(111)

Bjørk Hammer Information

University

Position

___

Citations(all)

56522

Citations(since 2020)

19732

Cited By

44990

hIndex(all)

92

hIndex(since 2020)

48

i10Index(all)

216

i10Index(since 2020)

158

Email

University Profile Page

Google Scholar

Bjørk Hammer Skills & Research Interests

physics

graphene

materials science

heterogeneous catalysis

surface science

Top articles of Bjørk Hammer

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

The Journal of Chemical Physics

2024/5/7

Florian Brix
Florian Brix

H-Index: 1

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Generative diffusion model for surface structure discovery

arXiv preprint arXiv:2402.17404

2024/2/27

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Origin of hydroxyl pair formation on reduced anatase TiO 2 (101)

Physical Chemistry Chemical Physics

2023

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

Physical Review Materials

2023/12/21

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Yoshitada Morikawa
Yoshitada Morikawa

H-Index: 28

Generating candidates in global optimization algorithms using complementary energy landscapes

The Journal of Chemical Physics

2023/7/14

Bjørk Hammer
Bjørk Hammer

H-Index: 49

A machine learning potential for simulating infrared spectra of nanosilicate clusters

The Journal of Chemical Physics

2023/6/14

Zeyuan Tang
Zeyuan Tang

H-Index: 5

Bjørk Hammer
Bjørk Hammer

H-Index: 49

A Machine‐Learning‐Based Approach for Solving Atomic Structures of Nanomaterials Combining Pair Distribution Functions with Density Functional Theory (Adv. Mater. 13/2023)

Advanced Materials

2023/3

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Oxygen Storage by Tin Oxide Monolayers on Pt3Sn(111)

The Journal of Physical Chemistry C

2023/2/8

Dimerization of dehydrogenated polycyclic aromatic hydrocarbons on graphene

The Journal of Chemical Physics

2022/4/7

Zeyuan Tang
Zeyuan Tang

H-Index: 5

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Atomistic structure search using local surrogate model

The Journal of Chemical Physics

2022/11/7

Water Chemistry beneath Graphene: Condensation of a Dense OH–H2O Phase under Graphene

The Journal of Physical Chemistry C

2022/2/23

Thomas Michely
Thomas Michely

H-Index: 30

Bjørk Hammer
Bjørk Hammer

H-Index: 49

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

The Journal of Chemical Physics

2022/8/7

Bjørk Hammer
Bjørk Hammer

H-Index: 49

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

Astronomy & Astrophysics

2022/7/1

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

Angewandte Chemie International Edition

2022/6/20

Global optimization of atomic structure enhanced by machine learning

Physical Review B

2022/6/9

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Generating stable molecules using imitation and reinforcement learning

Machine Learning: Science and Technology

2021/12/10

Jonas Köhler
Jonas Köhler

H-Index: 7

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Structure of an ultrathin oxide film solved by machine learning enhanced global optimization

2021/11/22

Gas Phase IR Spectra of Hydrogen Functionalised Pentacene

2021/9/26

Size-dependent phase stability in transition metal dichalcogenide nanoparticles controlled by metal substrates

Nanoscale

2021

Albert Bruix
Albert Bruix

H-Index: 21

Bjørk Hammer
Bjørk Hammer

H-Index: 49

Efficient global structure optimization with a machine-learned surrogate model

Physical review letters

2020/2/27

Bjørk Hammer
Bjørk Hammer

H-Index: 49

See List of Professors in Bjørk Hammer University(Aarhus Universitet)

Co-Authors

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